Springer, 2024. — 253 p. — (Big Data Management). — ISBN: 978-981-99-9650-6. With the growing advances in technology and transformation to digital services, the world is becoming more connected and more complex. Huge heterogeneous data are generated at rapid speed from various types of sensors. Augmented with Artificial Intelligence and Machine Learning and the Internet of...
O’Reilly Media, 2024. — 107 p. — ISBN: 9781098160357. Data virtualization had been held back by complexity for decades until recent advances in cloud technology, data lakes, networking hardware, and machine learning transformed the dream into reality. It's becoming increasingly practical to access data through an interface that hides low-level details about where it's stored,...
Cambridge: Cambridge University Press, 2022. — 207 p. Data assimilation is a hugely important mathematical technique, relevant in fields as diverse as geophysics, data science, and neuroscience. This modern book provides an authoritative treatment of the field as it relates to several scientific disciplines, with a particular emphasis on recent developments from machine...
Canada: Wiley & Sons, Inc., 2021. — 405 p. — ISBN: 978-1-119-64947-2. Move your career forward with AWS certification! Prepare for the AWS Certified Data Analytics Specialty Exam with this thorough study guide This comprehensive study guide will help assess your technical skills and prepare for the updated AWS Certified Data Analytics exam. Earning this AWS certification will...
Sybex, 2021. — 416 p. — ISBN: 1119649471, 9781119649472. Move your career forward with AWS certification! Prepare for the AWS Certified Data Analytics Specialty Exam with this thorough study guide. This comprehensive study guide will help assess your technical skills and prepare for the updated AWS Certified Data Analytics exam. Earning this AWS certification will confirm your...
Idea Group Publishing, 2002. — 300 p. — ISBN: 1930708254. This book is a repository of research papers describing the applications of modern heuristics to data mining. This is a unique–and as far as we know, the first–book that provides up-to-date research in coupling these two topics of modern heuristics and data mining. Although it is by all means an incomplete coverage, it...
Book in EPUB format . Wiley, 2014. — 456 p. — ISBN: 978-1-118-72796-6. Learn the art and science of predictive analytics — techniques that get results . Predictive analytics is what translates big data into meaningful, usable business information. Written by a leading expert in the field, this guide examines the science of the underlying algorithms as well as the principles and...
CRC Press, 2023. — 281 p. — ISBN: 978-1-032-41354-9. This book applies both industrial engineering and computational intelligence to demonstrate intelligent machines that solve real-world problems in various smart environments. It presents fundamental concepts and the latest advances in multi-criteria decision-making (MCDM) techniques and their application to smart...
New York: Springer, 2002. - The proliferation of massive data sets brings with it a series of special computational challenges. This "data avalanche" arises in a wide range of scientific and commercial applications. With advances in computer and information technologies, many of these challenges are beginning to be addressed by diverse inter-disciplinary groups, that indude...
CreateSpace Independent Publishing Platform, 2018. — 193 p. Data Science, sometimes known as methods of processing and analyzing massive data sets (Big Data), is a rapidly evolving field. This book teaches important topics of emerging data science by providing simple and practical examples in R language. The initial chapters are about data collection and management at a large...
Springer, 2015. — 456 p. — (Annals of Information Systems). — ISBN: 9783319078113, EISBN: 9783319078120 Abou-Nasr M., Lessmann S., Stahlbock R., Weiss G.M. (Eds.) Data mining applications range from commercial to social domains, with novel applications appearing swiftly; for example, within the context of social networks. The expanding application sphere and social reach of...
Independently published, 2023-11-08. — 120 p. — ASIN: B0CLKY5K35. Are you looking to level up your data visualization skills in Python? Look no further! Introducing the ultimate guide to 101 visualizations using just one dataset. Whether you're a beginner or an experienced data scientist, this comprehensive guide will take you on a visual journey through various plotting...
Springer, 2009. — 327 p. Along the years, rough set theory has earned a well-deserved reputation as a sound methodology for dealing with imperfect knowledge in a simple though mathematically sound way. This edited volume aims at continue stressing the benefits of applying rough sets in many real-life situations while still keeping an eye on topological aspects of the theory as...
Independently published, 2024. — 305 p. — ISBN: 979-8326047427, ASIN B0D4K82P8L, B0D4K1PK8F. In the fast-paced digital age, the ability to harness real-time data and analytics can significantly enhance decision-making processes and elevate user engagement. "Real-Time Data and Analytics: Enhancing Decision-Making and User Engagement" is a comprehensive guide that delves into the...
InTech, 2013, -292 p. Heuristic Search is an important sub-discipline of optimization theory and finds applications in a vast variety of fields, including life science and engineering. Over the years, search methods have made an increasing number of appearances in engineering systems, primarily because of the capability in providing effective near-optimum solutions with...
Springer, 2020. — 120 p. — (Signals and Communication Technology). — ISBN: 9813290005. This book reviews the most powerful attack strategies and potential defense mechanisms, always approaching the interplay between the Fusion Center and the Byzantines from a game-theoretic perspective. For each of the settings considered, the equilibria of the game and the corresponding...
Pasadena: AMLbook.com, 2012. — 201 p. — ISBN: 978-1-60049-006-4. This book is designed for a short course on machine learning. It i s a short course, not a hurried course. From over a decade of teaching this material, we have distilled what we believe to be the core topics that every student of the subject should know. We chose the title 'learning from data' that faithfully...
World Scientific Publishing, 2018. — 187 p. — ISBN: 978-1-78634-539-4. As an emerging discipline, data science broadly means different things across different areas. Exploring the relationship of data science with statistics, a well-established and principled data-analytic discipline, this book provides insights about commonalities in approach, and differences in emphasis....
CRC Press, 2017. — 579 p. Nature-Inspired Computing: Physics and Chemistry-Based Algorithms provides a comprehensive introduction to the methodologies and algorithms in nature-inspired computing, with an emphasis on applications to real-life engineering problems. The research interest for Nature-inspired Computing has grown considerably exploring different phenomena observed in...
Springer, 2019. –—178 p. — (STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health). — ISBN: 978-3-030-25912-9. Recent years have been characterized by tremendous advances in quantum information and communication, both theoretically and experimentally. In addition, mathematical methods of quantum information and quantum probability have begun spreading to...
Information Today, 2015. — 224 p. Harvard Business Review recently named the data scientist described as a high-ranking professional with the training and curiosity to make discoveries in the world of Big Data as "the sexiest job of the 21st century." Librarians and information professionals have always worked with data in order to meet the information needs of their...
Rijeka: InTech, 2012. — 284 p. — ISBN: 978-953-51-0535-0. Semantics is the research area touching the diversified domains such as: Philosophy, Information Science, Linguistics, Formal Semantics, Philosophy of Language and its constructs, Query Processing, Semantic Web, Pragmatics, Computational Semantics, Programming Languages, and Semantic Memory etc. The current book is a...
InTech, 2012. - 278 p. Semantics is the research area touching the diversified domains such as: Philosophy, Information Science, Linguistics, Formal Semantics, Philosophy of Language and its constructs, Query Processing, Semantic Web, Pragmatics, Computational Semantics, Programming Languages, and Semantic Memory etc. The current book is a pleasant combination of number of...
CRC Press, 2023. — 267 p. — ISBN: 978-1-032-10773-8. This book highlights the importance of data-driven techniques to solve wireless communication problems. It presents several problems (e.g., related to performance, security, and social networking), and provides solutions using various data-driven techniques, including Machine Learning, Deep Learning, Federated Learning, and...
Springer, 2009. — 114 p. This book offers a comprehensive overview of the various concepts and research issues about blogs or weblogs. It introduces techniques and approaches, tools and applications, and evaluation methodologies with examples and case studies. Blogs allow people to express their thoughts, voice their opinions, and share their experiences and ideas. Blogs also...
CRC Press, 2014. — 707 p. — (Data Mining and Knowledge Discovery Series). — ISBN: 9781466586758 Comprehensive Coverage of the Entire Area of Classification Research on the problem of classification tends to be fragmented across such areas as pattern recognition, database, data mining, and machine learning. Addressing the work of these different communities in a unified way,...
Springer, 2013. — 546 p. — ISBN: 978-1461463085, e-ISBN: 978-1461463092. Advances in hardware technology have lead to an ability to collect data with the use of a variety of sensor technologies. In particular sensor notes have become cheaper and more efficient, and have even been integrated into day-to-day devices of use, such as mobile phones. This has lead to a much larger...
Springer, 2015. — 745 p. — ISBN: 3319141414, 9783319141411, 9783319141428 This textbook explores the different aspects of data mining from the fundamentals to the complex data types and their applications, capturing the wide diversity of problem domains for data mining issues. It goes beyond the traditional focus on data mining problems to introduce advanced data types such as...
Springer, 2010. — 622 p. The field of graph mining has seen a rapid explosion in recent years because of new applications in computational biology, software bug localization, and social and communication networking. This book is designed for studying various applications in the context of managing and mining graphs. Graph mining has been studied by the theoretical community...
Harvard Business Review Press, 2018. — 272 p. — ISBN: 9781633695672. Artificial intelligence does the seemingly impossible, magically bringing machines to life--driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a...
IGI Global, 2018. — 375 p. Data mining techniques are commonly used to extract meaningful information from the web, such as data from web documents, website usage logs, and hyperlinks. Building on this, modern organizations are focusing on running and improving their business methods and returns by using opinion mining. In this book, through introducing the Deep Learning and...
CRC, 2021. - 486 p. - ISBN: 0367748452 Foundations of Statistics for Data Scientists: With R and Python is designed as a textbook for a one- or two-term introduction to mathematical statistics for students training to become data scientists. It is an in-depth presentation of the topics in statistical science with which any data scientist should be familiar, including...
CRC, 2021. - 486 p. - ISBN: 0367748452 Advanced R and Python appendix, plus all the datasets from the examples and exercises for the book "Foundations of Statistics for Data Scientists With R and Python".
John Wiley & Sons, Ltd, 2014. — 303 p. — ISBN 9781119977131. Data mining is well on its way to becoming a recognized discipline in the overlapping areas of IT, statistics, machine learning, and AI. Practical Data Mining for Business presents a user-friendly approach to data mining methods, covering the typical uses to which it is applied. The methodology is complemented by case...
Packt Publishing, 2023. — 334 p. Kickstart your emotion analysis journey with this hands-on, step-by-step guide to data science success. Key FeaturesDiscover the ins and outs of the end-to-end emotional analysis workflowExplore the use of various ML models to derive meaningful insights from all sorts of dataHone your craft by building and tweaking complex emotion analysis...
Cambridge Scholars Publishing, 2020. — 265 p. — ISBN (13): 978-1-5275-4429-1. Blockchain technology facilitates a decentralized database where business is rendered transparent without the involvement of middlemen. The first use of this technology was its application in digital currency (bitcoin). However, other potential uses of blockchain are yet to be explored. It is expected...
Springer – 2011, 302 p., 237 illus., 170 in color ISBN: 0857290789, 9780857290793 Time is an exceptional dimension that is common to many application domains such as medicine, engineering, business, science, biography, history, planning, or project management. Understanding time-oriented data enables us to learn from the past in order to predict, plan, and build the future. Due...
Cambridge University Press, 1980. — 281 p. Prediction by its derivation means literally the stating beforehand of what will happen at some future time. It is an occupational hazard of many professions: meteorologist, doctor, economist, market researcher, engineering designer, politician and pollster. It is indeed a precarious game because any specific prediction can eventually...
Springer, 2016. — 282 p. — ISBN: 3319292056, 9783319292052 Authors: Akerkar, Rajendra, Sajja, Priti Srinivas Focuses on methods significantly beneficial in data science, and clearly describes them at an introductory level, with extensions to selected intermediate and advanced techniques Reinforces the machine learning principles with necessary demonstrations in the field of...
Boca Raton: CRC Press, 2023. — 367 p. This book focuses on data analytics with machine learning using IoT and blockchain technology. Integrating these three fields by examining their interconnections, Intelligent Data Analytics, IoT, and Blockchain examines the opportunities and challenges of developing systems and applications exploiting these technologies. Written primarily...
ISTE/John Wiley, 2010. — 245 p. This book provides a detailed and up-to-date overview on classification and data mining methods. The first part is focused on supervised classification algorithms and their applications, including recent research on the combination of classifiers. The second part deals with unsupervised data mining and knowledge discovery, with special attention...
CRC Press, 2023. — 623 p. The book equips students with the end-to-end skills needed to do data science. That means gathering, cleaning, preparing, and sharing data, then using statistical models to analyze data, writing about the results of those models, drawing conclusions from them, and finally, using the cloud to put a model into production, all done in a reproducible way....
Springer, 2018. — 168 p. — (Studies in big data 27). — ISBN: 9783319602554, 3319602551, 9783319602547. This book addresses the impacts of various types of services such as infrastructure, platforms, software, and business processes that cloud computing and Big Data have introduced into business. Featuring chapters which discuss effective and efficient approaches in dealing with...
Springer, 2020. — 261 p. Data management and analysis is one of the fastest growing and most challenging areas of research and development in both academia and industry. Numerous types of applications and services have been studied and re-examined in this field resulting in this edited volume which includes chapters on effective approaches for dealing with the inherent...
O’Reilly Media, Inc., 2025. — 350 p. — ISBN-13: 978-1-098-16683-0. Data engineers proficient in Databricks are currently in high demand. As organizations gather more data than ever before, skilled data engineers on platforms like Databricks become critical to business success. The Databricks Data Engineer Associate certification is proof that you have a complete understanding...
IGI Global, 2010. — 516 p. Overcoming many challenges, data mining has already established discipline capability in many domains. The book discusses advances in modern data mining research in today's rapidly growing global and technological environment. A critical mass of the most sought after knowledge, this publication serves as an important reference tool to leading research...
Packt Publishing, 2024. — 338 p. Key Features: Explore Microsoft Fabric and its features through real-world examples. Build data analytics solutions for lakehouses, data warehouses, real-time analytics, and data science. Monitor, manage, and administer your Fabric platform and analytics system to ensure flexibility, performance, security, and control. Book Description: Discover...
O’Reilly Media, 2024. — 361 p. — ISBN: 978-1-098-13686-4. The surging predictive analytics market is expected to grow from $10.5 billion today to $28 billion by 2026. With the rise in automation across industries, the increase in data-driven decision-making, and the proliferation of IoT devices, predictive analytics has become an operational necessity in today's...
O’Reilly Media, 2024. — 391 p. The surging predictive analytics market is expected to grow from $10.5 billion today to $28 billion by 2026. With the rise in automation across industries, the increase in data-driven decision-making, and the proliferation of IoT devices, predictive analytics has become an operational necessity in today's forward-thinking companies. If you're a...
Springer, 2017. — 367 p. — ISBN10: 9811070970, ISBN13: 978-9811070976. This book discusses the applications of different soft computing techniques for the web-based systems and services. The respective chapters highlight recent developments in the field of soft computing applications, from web-based information retrieval to online marketing and online healthcare. In each...
New York: Springer, 2021. — 253 p. This book provides an in-depth analysis of the current evolutionary clustering techniques. It discusses the most highly regarded methods for data clustering. The book provides literature reviews about single objective and multi-objective evolutionary clustering algorithms. In addition, the book provides a comprehensive review of the fitness...
O’Reilly Media, 2023. — 137 p. — ISBN-13: 978-1-098-14385-5. Data has been a missing part of most academic curriculums for a long time, and we’re all being affected. During challenging times, creating a data-informed culture can help you pivot quickly or prevent expensive missteps. Developing a data-curious organization will take advantage of the burgeoning data resources...
O’Reilly Media, 2023. — 137 p. — ISBN-13: 978-1-098-14385-5. Data has been a missing part of most academic curriculums for a long time, and we’re all being affected. During challenging times, creating a data-informed culture can help you pivot quickly or prevent expensive missteps. Developing a data-curious organization will take advantage of the burgeoning data resources...
Springer International Publishing, Switzerland, 2017. — 242 p. — (Springer Texts in Education) — ISBN: 9783319443782 This book is the product of the authors’ teaching introductory biology and related science courses at several different colleges and universities, though primarily at Wesleyan University, Middletown, Connecticut (Baker) and Washington University, St. Louis,...
2nd edition. — River Publishers, 2021. — 268 p. — ISBN: 978-8770223577. Over recent years, many new technologies have been introduced to drive the digital transformation in the building maintenance industry. The current trend in digital evolution involves data-driven decision making which opens new opportunities for an energy centered maintenance model. Artificial Intelligence...
Springer, 2014. — 273 p. — (Frontiers in Probability and the Statistical Sciences). — ISBN: 1493914707, 9781493914708 This book introduces advanced undergraduate, graduate students and practitioners to statistical methods for ranking data. An important aspect of nonparametric statistics is oriented towards the use of ranking data. Rank correlation is defined through the notion...
Wiley-Scrivener, 2022. — 610 p. — ISBN10: 1119879698. This talk will give a brief overview of applications of artificial intelligence (AI), machine learning, and data analytics (DA) methods for different exploration and production problems. Several topics such as big data, soft computing, natural language processing, man-machine interface, and deep learning will be highlighted....
Springer, 2018. — 285 p. — (Advances in Analytics and Data Science). — ISBN: 978-3-319-95663-3. This book introduces text analytics as a valuable method for deriving insights from text data. Unlike other text analytics publications, Practical Text Analytics: Maximizing the Value of Text Data makes technical concepts accessible to those without extensive experience in the field....
Springer, 2018. — 285 p. — (Advances in Analytics and Data Science). — ISBN: 978-3-319-95663-3. This book introduces text analytics as a valuable method for deriving insights from text data. Unlike other text analytics publications, Practical Text Analytics: Maximizing the Value of Text Data makes technical concepts accessible to those without extensive experience in the field....
John Wiley & Sons, 2023. — 435 p. — ISBN: 9781119809135. Optimization for Learning and Control describes how optimization is used in these domains, giving a thorough introduction to unsupervised learning, supervised learning, and reinforcement learning, with an emphasis on optimization methods for large-scale learning and control problems. Several application areas are also...
McGraw-Hill Education, 2020. — 353 p. — ISBN: 1260459144, 9781260459142. Lead your organization to become evidence-driven Data. It’s the benchmark that informs corporate projections, decision-making, and analysis. But, why do many organizations that see themselves as data-driven fail to thrive? In Leading with AI and Analytics, two renowned experts from the Kellogg School of...
Wiley, 2013. – 209 p. – 2nd ed. – ISBN: 1119967546, 9781119967545 Data mining has been defined as the search for useful and previously unknown patterns in large datasets, yet when faced with the task of mining a large dataset, it is not always obvious where to start and how to proceed. This book introduces a visual methodology for data mining demonstrating the application of...
Springer, 2005. — 202 p. — (Multiagent Systems, Artificial Societies, and Simulated Organizations Series 14). — ISBN: 978-0-387-24352-8. This book addresses the arguably challenging problem of generating intelligence from data and transferring it to a separate, possibly autonomous, software entity. In its generality, the definition, generation, and transfer of intelligence is a...
Springer, 2020. — 440 p. — ISBN: 978-3-030-56146-8. This textbook presents the main principles of visual analytics and describes techniques and approaches that have proven their utility and can be readily reproduced. Special emphasis is placed on various instructive examples of analyses, in which the need for and the use of visualisations are explained in detail. The book...
Packt Publishing, 2016. — 396 p. — ISBN: 978-1-78588-440-5. Build world-class enterprise Business Intelligence solutions with MicroStrategy 10. Business intelligence is becoming more important by the day, with cloud offerings and mobile devices gaining wider acceptance and achieving better market penetration. MicroStrategy Reporting Suite is an absolute leader in the BI market...
Springer, 2009. — 588 p. — (Lecture Notes in Electrical Engineering 14). — ISBN: 978-1-4020-8918-3. Advances in Computational Algorithms and Data Analysis contains revised and extended research articles written by prominent researchers participating in a large international conference on Advances in Computational Algorithms and Data Analysis, which was held in UC Berkeley,...
Springer, 2010, -241 p. A large international conference on Advances in Machine Learning and Data Analysis was held in UC Berkeley, CA, USA, October 22–24, 2008, under the auspices of the World Congress on Engineering and Computer Science (WCECS 2008). The WCECS is organized by the International Association of Engineers (IAENG). IAENG is a non-profit international association...
Springer, 2008. — 491 p. The ultimate goal of this book is to bring the fundamental issues of information granularity, inference tools and problem solving procedures into a coherent, unified, and fully operational framework. The objective is to offer the reader a comprehensive, self-contained, and uniform exposure to the subject.The strategy is to isolate some fundamental...
Springer, Cham, 2022. — 198 p. — ISBN: 978-3-030-94379-0. This book reconsiders key issues, such as description and explanation, which affect data analytics. For starters: the soul does not exist. Once released from this cumbersome roommate, we are left with complex biological systems: namely, ourselves, who must configure our environment in terms of worlds that are compatible...
Springer, 2020. — 292 p. — ISBN: 3030439801. This book provides readers with a thorough understanding of various research areas within the field of data science. The book introduces readers to various techniques for data acquisition, extraction, and cleaning, data summarizing and modeling, data analysis and communication techniques, data science tools, deep learning, and...
Springer, 2020. — 288 p. — ISBN: 9783030439804. Arabnia H.R., Daimi K., Stahlbock R., Soviany Cr., Heilig L., Brussau K. (Eds) Data science combines statistical techniques, data analysis methods, and machine learning algorithms and techniques to analyze and understand tangible trends in data. Through data science, one can identify relevant issues, collect data from various data...
O’Reilly Media, 2018. — 179 p. — ISBN10: 1492031852, 13 978-1492031857. EPUB (True/HQ) While tools for analyzing streaming and real-time data are gaining adoption, the ability to visualize these data types has yet to catch up. Dashboards are good at conveying daily or weekly data trends at a glance, though capturing snapshots when data is transforming from moment to moment is...
Boca Raton: CRC Presss, 2023. — 489 p. Introduction to Experimental Methods succinctly explains fundamental engineering concepts in mechanics, dynamics, heat transfer, and fluid dynamics. From conceptualizing an engineering experiment to conducting a comprehensive lab, this book enables students to work through the entire experimental design process. Offering a complete...
Philadelphia: Society for Industrial and Applied Mathematics, 2016. — 310 p. This book places data assimilation (DA) into the broader context of inverse problems and the theory, methods, and algorithms that are used for their solution. It strives to provide a framework and new insight into the inverse problem nature of DA — the book emphasizes “why” and not just “how.” We cover...
Independently published, 2024. — 206 p. — ASIN B0DFQK96Q2. Are you eager to dive into the world of Data Science but unsure where to begin? Do you want to gain the skills to analyze and visualize data like a pro, even if you have no prior experience? Learn Data Science Fundamentals is your comprehensive guide to mastering the foundational concepts of Data Science, equipping you...
Independently published, 2024. — 246 p. Are you eager to dive into the world of Data Science but unsure where to begin? Do you want to gain the skills to analyze and visualize data like a pro, even if you have no prior experience? Learn Data Science Fundamentals is your comprehensive guide to mastering the foundational concepts of Data Science, equipping you with the tools and...
Springer, 2004. — 623 p. — ISBN: 978-1-4419-2353-0, e-ISBN: 978-0-387-21840-3. Series: Springer Series in Statistics. The forward search provides a method of revealing the structure of data through a mixture of model fitting and informative plots. The continuous multivariate data that are the subject of this book are often analyzed as if they come from one or more normal...
Wiley, 2013. — 576 p. — ISBN: 978-1-118-39864-7. Complete guidance for mastering the tools and techniques of the digital revolution With the digital revolution opening up tremendous opportunities in many fields, there is a growing need for skilled professionals who can develop data-intensive systems and extract information and knowledge from them. This book frames for the first...
NYU Press, September 1, 2003. — 202 p. — (Qualitative Studies in Psychology). — ISBN-13: 978-0814706954. Qualitative Data is meant for the novice researcher who needs guidance on what specifically to do when faced with a sea of information. It takes readers through the qualitative research process, beginning with an examination of the basic philosophy of qualitative research,...
CRC Press, 2023. — 231 p. — (Data Science Series). This book describes how to establish Data Science and analytics capabilities in organizations using Emergent Design, an evolutionary approach that increases the chances of successful outcomes while minimizing upfront investment. Based on their experiences and those of several data leaders, the authors provide actionable advice...
IPSpecialist, 2023. — 896 p. Master the AWS certified data analytics specialty exam of AWS in 7 days! This thorough study guide will assist you in evaluating your technical abilities and preparing for the new AWS Certified Data Analytics test. This AWS certification validates your ability to build and implement AWS services to extract value from data. Business analysts and IT...
Springer, 2005. — 545 p. — (International Series in Intelligent Technologies, vol. 20). — ISBN: 978-0-387-23550-9; ISBN: 978-0-387-23535-6 Uncertainty has been a concern to engineers, managers, and scientists for many years. For a long time uncertainty has been considered synonymous with random, stochastic, statistic, or probabilistic. Since the early sixties views on...
CRC Press, 2006. — 400 p. — ISBN: 9781584886440. Provides a systems framework for the analysis and modeling of uncertainty Summarizes methods for encoding data and expressing information Illustrates methods for uncertainty and information synthesis Develops methods for uncertainty measures and related criteria for knowledge construction Examines methods for uncertainty...
N.-Y.: Springer, 1998. - 371 p. Uncertainty has been of concern to engineers, managers and . scientists for many centuries. In management sciences there have existed definitions of uncertainty in a rather narrow sense since the beginning of this century. In engineering and uncertainty has for a long time been considered as in sciences, however, synonymous with random,...
Springer, 2022. — 148 p. — (Synthesis Lectures on Intelligent Technologies). — ISBN: 978-3-031-08584-0. Decision trees are widely used in many areas of Computer Science and related fields as classifiers, as a means for knowledge representation, and as algorithms to solve various problems. They are studied, in particular, in test theory, rough set theory, and exact learning....
Packt Publishing, 2023. — 240 p. Key Features: Install, configure, and optimize the ChatGPT-Elasticsearch plugin with a focus on vector data. Learn how to load transformer models, generate vectors, and implement vector search with Elastic. Develop a practical understanding of vector search, including a review of current vector databases. Book Description: While natural language...
IGI Global 2021. — 276 p. — (Advances in Business Information Systems and Analytics (ABISA)). — ISBN: 9781799857815. As technology continues to advance, it is critical for businesses to implement systems that can support the transformation of data into information that is crucial for the success of the company. Without the integration of data (both structured and unstructured)...
Oxford: Oxford University Press, 2012. — 278 p. — ISBN: 0199767106. An introduction to statistical data mining, Data Analysis and Data Mining is both textbook and professional resource. Assuming only a basic knowledge of statistical reasoning, it presents core concepts in data mining and exploratory statistical models to students and professional statisticians-both those...
Jossey-Bass, 2013. — 96 p. — ISBN: 1118793412, 9781118793411. Do you communicate data and information to stakeholders? This issue is Part 1 of a two-part series on data visualization and evaluation. In Part 1, we introduce recent developments in the quantitative and qualitative data visualization field and provide a historical perspective on data visualization, its potential...
Springer, 2013. — 228 p. — ISBN: 978-1447156062, e-ISBN: 978-1447156079. Advances in Computer Vision and Pattern Recognition This book addresses the challenges of data abstraction generation using a least number of database scans, compressing data through novel lossy and non-lossy schemes, and carrying out clustering and classification directly in the compressed domain. Schemes...
ITexLi, 2024. — 221 p. — ISBN: 0854665080 9780854665082 0854665099 9780854665099 0854665102 9780854665105. Given the current research direction toward ubiquitous information sharing and digitalization, the huge amount of documents in the world’s largest libraries and archives are stored as digital data in big data centers, including those of Google, Apple, Microsoft, Samsung,...
Boca Raton: CRC Press, 2022. — 632 p. Graphs. Such a simple idea. Map a problem onto a graph then solve it by searching over the graph or by exploring the structure of the graph. What could be easier? Turns out, however, that working with graphs is a vast and complex field. Keeping up is challenging. To help keep up, you just need an editor who knows most people working with...
Springer-Verlag, Berlin, Heidelberg, 2013. — 285 p. — (Texts in Computational Science and Engineering 9) — ISBN: 9783642310454 Space-filling curves started their “lives” as mathematical curiosities, at the end of the nineteenth century. The idea that a one-dimensional curve may completely cover an area or a volume was, at that time, completely novel and counterintuitive....
Hoboken: John Wiley & Sons, 2024. — 220 p. — ISBN: 111971799X. An accessible learning resource that develops data analysis skills for natural science students in an efficient style using the R programming language. R-articulate: A Beginner’s Guide to Data Analysis for Natural Scientists is a compact, example-based, and user-friendly statistics textbook without unnecessary...
Springer, 2020. - 296 p. - ISBN: 9783030575915 This textbook explains SQL within the context of data science and introduces the different parts of SQL as they are needed for the tasks usually carried out during data analysis. Using the framework of the data life cycle, it focuses on the steps that are very often given the short shift in traditional textbooks, like data loading,...
CRC Press, 2020. — 273 p. — ISBN: 9780367537418. Good data analytics is the basis for effective decisions. Whoever has the data, has the ability to extract information promptly and effectively to make pertinent decisions. The premise of this handbook is to empower users and tool developers with the appropriate collection of formulas and techniques for data analytics and to...
CRC Press, 2021. — 272 p. — (Systems Innovation Book) — ISBN: 978-0-367-53741-8. Good data analytics is the basis for effective decisions. Whoever has the data, has the ability to extract information promptly and effectively to make pertinent decisions. The premise of this handbook is to empower users and tool developers with the appropriate collection of formulas and...
Wiley, 2014. — 256 p. — (Wiley and SAS Business Series). — ISBN: 1118892704, 9781118892701 The guide to targeting and leveraging business opportunities using big data & analytics By leveraging big data & analytics, businesses create the potential to better understand, manage, and strategically exploiting the complex dynamics of customer behavior. Analytics in a Big Data World...
Wiley, 2015. — 400 p. — (Wiley and SAS business). Detect fraud earlier to mitigate loss and prevent cascading damage Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques is an authoritative guidebook for setting up a comprehensive fraud detection analytics solution. Early detection is a key factor in mitigating fraud damage, but it involves more...
ACM Press, 1999, -517 p. Information retrieval (IR) has changed considerably in recent years with the expansion of the World Wide Web and the advent of modern and inexpensive graphical user interfaces and ma.ss stora.ge devices. As a result, traditional IR textbooks have become quite out of date and this has led to the introduction of new IR books. Nevertheless, we believe that...
IOP Publishing, 2022. — 246 p. — ISBN13: 9780750348195. — ISBN10: 0750348194. Computer vision and image processing-based systems and their applications are already an integral part of modern living and are expected to increase in prevalence and complexity. A vision system provides the ability to handle and examine the large data generated by cameras and make a decision based on...
IOP Publishing, 2022. — 246 p. — ISBN: 978-0-7503-4819-5. Computer vision and image processing-based systems and their applications are already an integral part of modern living and are expected to increase in prevalence and complexity. A vision system provides the ability to handle and examine the large data generated by cameras and make a decision based on situational...
Packt, 2019. — 91 p. Associations and correlations are ways of describing how a pair of variables change together as a result of their connection. By knowing the various available techniques, you can easily and accurately discover and visualize the relationships in your data. This book begins by showing you how to classify your data into the four distinct types that you are...
Wiley, 2023. — 546 p. — ISBN: 9781119933243, 1119933242. Learn to gather and analyze publicly available data for your intelligence needs. In Deep Dive: Exploring the Real-world Value of Open-Source Intelligence, veteran open-source intelligence analyst Rae Baker explains how to use publicly available data to advance your investigative OSINT skills and how your adversaries are...
Wiley, 2023. — 546 p. — ISBN: 9781119933243, 1119933242. Learn to gather and analyze publicly available data for your intelligence needs. In « Deep Dive: Exploring the Real-world Value of Open-Source Intelligence », veteran open-source intelligence analyst Rae Baker explains how to use publicly available data to advance your investigative OSINT skills and how your adversaries...
Wiley, 2023. — 546 p. — ISBN: 9781119933243, 1119933242. Learn to gather and analyze publicly available data for your intelligence needs. In « Deep Dive: Exploring the Real-world Value of Open-Source Intelligence », veteran open-source intelligence analyst Rae Baker explains how to use publicly available data to advance your investigative OSINT skills and how your adversaries...
Massachusetts Institute of Technology, Neural Information Processing Series, 2007. — 360 p. ISBN: 0262026171, 978-0262026178. Machine learning develops intelligent computer systems that are able to generalize from previously seen examples. A new domain of machine learning, in which the prediction must satisfy the additional constraints found in structured data, poses one of...
Springer Cham, 2022. — 248 p. — eBook ISBN: 978-3-031-07865-1. This book discusses the principles and practical applications of data science, addressing key topics including data wrangling, statistics, machine learning, data visualization, natural language processing, and time series analysis. Detailed investigations of techniques used in the implementation of recommendation...
Springer, 2013. – 343 p. – ISBN: 1461441501, 9781461441502 Text Mining with MatLAB provides a comprehensive introduction to text mining using MatLAB. It’s designed to help text mining practitioners, as well as those with little-to-no experience with text mining in general, familiarize themselves with MatLAB and its complex applications. The first part provides an introduction...
Springer, 2022. — 116 p. — ISBN13: 9783030933395. This book reviews the evidence for the existence of information storing states present in specific materials systems called Topological Materials. It discusses how quantum computation, a possible technology for the future, demands unique paradigms where the information storing states are just not disturbed by classical forces....
Springer, 1992. — 351 p. Having been concerned with problems of mathematical statistics in the sixtieth and seventieth, especially with regression analysis and optimal experimental design, we noticed that the hard conditions about the model and the probability law are rarely satisfied and checked in practice, and that classical probability theory usually models and takes into...
In this book, we bring together research articles by active practitioners reporting recent advances in the field of knowledge discovery, where the information is mined from complex data, such as unstructured text from the world-wide web, databases naturally represented as graphs and trees, geoscientific data from satellites and visual images, multimedia data and bioinformatic...
Nova Science Publishers, Inc., 2021. — 190 p. — ISBN: 978-1536192643. When information in the data warehouse is processed, it follows a definite pattern. An unexpected deviation in the data pattern from the usual behavior is called an anomaly. The anomaly in the data is also referred to as noise, outlier, spammer, deviations, novelties and exceptions. Identification of the rare...
Cambridge: Cambridge University Press, 2004. — 541 p. Knowledge management and knowledge-based intelligence are areas of importance in the economy and society, and to exploit them fully and efficiently it is necessary both to represent and reason about knowledge via a declarative interface whose input language is based on logic. In this book, originally published in 2003,...
Cambridge University Press, 2012. Corr. from 25 Feb. 2014. - 672 p. — ISBN: 978-0521518147. Online version of the book, periodically corrected and supplemented by the author. The book has an electronic table of contents and contains color illustrations. Noticed typos (errata) are marked in the text in lilac (magenta) color, additions to the paper edition - in blue. Machine...
New York: O’Reilly Media, Inc., 2021. — 111 p. Applying knowledge in the right context is the most powerful lever businesses can use to become agile, creative, and resilient. Knowledge graphs add context, meaning, and utility to business data. They drive intelligence into data for unparalleled automation and visibility into processes, products, and customers. Businesses use...
Wiesbaden: Springer, 2023. — 233 p. This book offers an introduction to the topic of data science based on the visual processing of data. It deals with ethical considerations in digital transformation and presents a process framework for the evaluation of technologies. It also explains special features and findings on the failure of data science projects and presents...
Springer, 2023. — 220 p. This book is about data fundamentals. The author describes in an accessible manner the fundamentals of what data is, the difference between information and data, and the pragmatic application of abstract data modeling techniques in day-to-day business. The data management techniques are described both from a scientific, theoretical perspective and from...
Chapman and Hall/CRC, 2009. — 472 p. — ISBN: 978-1584889960. Since the initial work on constrained clustering, there have been numerous advances in methods, applications, and our understanding of the theoretical properties of constraints and constrained clustering algorithms. Bringing these developments together, Constrained Clustering: Advances in Algorithms, Theory, and...
Packt Publishing, 2024. — 394 p. Build an actionable, business value-driven case for data governance to obtain executive support and implement with excellence. Key Features. Develop a solid foundation in data governance and increase your confidence in data solutions. Align data governance solutions with measurable business results and apply practical knowledge from real-world...
CRC Press, 2012. — 732 p. Information retrieval systems, especially those accessed over the Internet, are ubiquitous in our globalizing world. Many are wonderfully easy to use, and it is therefore easy to assume that the design and implementation of information systems is a simple and straightforward process. However, systems need to be designed specifically for their intended...
N.-Y.: Springer, 2006. - 275 p. Poor data quality can seriously hinder or damage the efficiency and effectiveness of organizations and businesses. The growing awareness of such repercussions has led to major public initiatives like the "Data Quality Act" in the USA and the "European 2003/98" directive of the European Parliament.Batini and Scannapieco present a comprehensive and...
Springer, 2015. — 454 p. — ISBN: 9783319149974, 9783319149981 This book provides fresh insights into the cutting edge of multimedia data mining, reflecting how the research focus has shifted towards networked social communities, mobile devices and sensors. The work describes how the history of multimedia data processing can be viewed as a sequence of disruptive innovations....
Boca Raton: CRC, 2017. — 582 p. Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world problems with data. Rather than focus exclusively on case studies or programming syntax, this book illustrates how statistical programming in the state-of-the-art R/RStudio computing...
2nd Edition. — CRC Press, 2021. — 631 p. — (Texts in Statistical Science). — ISBN: 9780429200717. From a review of the first edition: "Modern Data Science with R… is rich with examples and is guided by a strong narrative voice. What’s more, it presents an organizing framework that makes a convincing argument that data science is a course distinct from applied statistics" (The...
Nova Science Publishers, 2022. — 156 p. — (Research Methodology and Data Analysis). — ISBN: 979-8-88697-315-0. The purpose of this book is to discuss data mining, which is a subset of Data Science, from a variety of perspectives. With the technological advances of recent years, new software and hardware-based systems are available in most business environments. With these...
IOP Publishing Ltd. , Reprinted with corrections 1991, 223 p. ISBN: 0852742622 Neural computing is one of the most interesting and rapidly growing areas of research, attracting researchers from a wide variety of scientific disciplines. Starting from the basics, Neural Computing covers all the major approaches, putting each in perspective in terms of their capabilities,...
Cambridge University Press, 2021. — 742 p. — ISBN: 978-1-108-48301-8. This textbook provides future data analysts with the tools, methods, and skills needed to answer data-focused, real-life questions; carry out data analysis; and visualize and interpret results to support better decisions in business, economics, and public policy. Data wrangling and exploration, regression...
Cambridge University Press, 2021. — 730 p. — ISBN: 978-1-108-71620-8. This textbook provides future data analysts with the tools, methods, and skills needed to answer data-focused, real-life questions, to choose and apply appropriate methods to answer those questions, and to visualize and interpret results to support better decisions in business, economics, and public policy....
Morgan & Claypool, 2007, -112 p. Latent semantic mapping (LSM) is a generalization of latent semantic analysis (LSA), a paradigm originally developed to capture hidden word patterns in a text document corpus. In information retrieval, LSA enables retrieval on the basis of conceptual content, instead of merely matching words between queries and documents. It operates under the...
Springer, 2008. — 352 p. Since their very inception, both fuzzy and rough set theories have earned a sound, well-deserved reputation owing to their intrinsic capabilities to model uncertainty coming from the real world. The increasing amount of investigations on both subjects reported every year in the literature vouches for the dynamics of the area and its rapid advancements....
Springer, 2019. — 370 p. — (Studies in Big Data). — ISBN: 9783319776033, 9783319776040. Bembenik, R., Skonieczny, Ł., Protaziuk, G., Kryszkiewicz, M., Rybinski, H. (Eds.) The inspiration for this book came from the Industrial Session of the ISMIS 2017 Conference in Warsaw. It covers numerous applications of intelligent technologies in various branches of the industry....
IOP Publishing, 2024. — 277 p. — (IOP Series in Next Generation Computing). — ISBN: 978-0-7503-5593-3. Edge Intelligence: Deep Learning-enabled Edge Computing is a book that targets researchers and practitioners who are interested in applying intelligence without compromising data privacy. The book reveals the existing edge-AI techniques and forecasts future edge-AI integration...
Berlin: de Gruyter, 2021. — 474 p. An increasing complexity of models used to predict real-world systems leads to the need for algorithms to replace complex models with far simpler ones, while preserving the accuracy of the predictions. This three-volume handbook covers methods as well as applications. This third volume focuses on applications in engineering, biomedical...
De Gruyter, 2021. — 356 p. — ISBN: 978-3-11-067140-7. An increasing complexity of models used to predict real-world systems leads to the need for algorithms to replace complex models with far simpler ones, while preserving the accuracy of the predictions. This two-volume handbook covers methods as well as applications. This second volume focuses on applications in engineering,...
NY: InfoQ, 2016. — 43 p. Making best use of data is fast becoming a critical skillset, not only for professional data scientists but also for software developers in general, whether moving into that specialist field or simply wanting to have data science as one tool in the arsenal. As a developer, how can you start to get a handle on data, choose the best tools and libraries,...
New York: Rowman & Littlefield, 2018. — 225 p. Introduction to Information Visualization: Transforming Data into Meaningful Information is for anyone interested in the art and science of communicating data to others. It shows readers how to transform data into something meaningful - information. Applying information visualization in research, service, teaching, and professional...
Stokes-Hamilton, 2020. — 164 p. — ISBN: 978-1085827836. Used in universities and biz schools in Finland, Barcelona, USA, Korea, Canada and the Middle East; and in executive trainings of companies like Halliburton TX, Agilent and PropertyFinder, this book will help you to transform data into not just information, but valuable knowledge. In this book, you will learn by example...
Stokes-Hamilton, 2020. — 164 p. — ISBN: 978-1085827836. Used in universities and biz schools in Finland, Barcelona, USA, Korea, Canada and the Middle East; and in executive trainings of companies like Halliburton TX, Agilent and PropertyFinder, this book will help you to transform data into not just information, but valuable knowledge. In this book, you will learn by example...
Springer,2018. — 192 p. Philipp Bergmeir works on the development and enhancement of data mining and machine learning methods with the aim of analysing automatically huge amounts of load spectrum data that are recorded for large hybrid electric vehicle fleets. In particular, he presents new approaches for uncovering and describing stress and usage patterns that are related to...
Information Today, 2015. — 380 p. "In this era of Big Data, social media, and floods of unreliable information, 'Googling it' is not enough. In the olden days before search engines, search experts like Robert Berkman used tools, techniques, and diverse information sources to perform deep and reliable research. Today, for those who want to go deeper, to find and validate...
Information Today, 2015. — 380 p. "In this era of Big Data, social media, and floods of unreliable information, 'Googling it' is not enough. In the olden days before search engines, search experts like Robert Berkman used tools, techniques, and diverse information sources to perform deep and reliable research. Today, for those who want to go deeper, to find and validate...
2nd Edition. — Academic Press, 2018. — 455 p. — ISBN: 978-0-12-815609-4. This book, Second Edition updates and expands on the first edition, bringing a set of techniques and algorithms that are tailored to Big Data projects. The book stresses the point that most data analyses conducted on large, complex data sets can be achieved without the use of specialized suites of software...
Elsevier, 2016. — 390 p. — ISBN: 0128037814, 9780128037812 Data Simplification: Taming Information With Open-source Tools addresses the simple fact that modern data is too big and complex to analyze in its native form. Data simplification is the process whereby large and complex data is rendered usable. Complex data must be simplified before it can be analyzed, but the process...
Academic Press, 2022. — 444 p. — ISBN: 9780323972581. Classification Made Relevantly explains how classifications and ontologies are designed, and how they are used to analyze scientific information. It is through our description of the relationships among classes of objects that we can simplify knowledge and explore the ways in which individual classified objects behave. The...
Wiley Publishing, Inc. , 2004. - 670 p. The book is still divided into three parts. The first part talks about the business context of data mining, starting with a chapter that introduces data mining and explains what it is used for and why. The second chapter introduces the virtuous cycle of data mining — the ongoing process by which data mining is used to turn data into...
John Wiley & Sons, Inc., 2000. — 480 p. — ISBN: 0471331236. The first chapter, Data Mining in Context, supplies a bit of historical background for the current explosion in both data and data mining and examines the current data mining environment from three viewpoints-business, technical, and societal. The second chapter, Why Master the Art? , addresses the need for companies...
Society for Industrial and Applied Mathematics, 2001, -200 p. As digital libraries and the World Wide Web (WWW) continue to grow exponentially, the ability to find useful information will greatly depend on the associated underlying framework of the indexing infrastructure or search engine. The push to get information on-line must be mediated by the design of automated...
World Scientific, 2006. — 237 p. The continual explosion of information technology and the need for better data collection and management methods has made data mining an even more relevant topic of study. Books on data mining tend to be either broad and introductory or focus on some very specific technical aspect of the field. This book is a series of seventeen edited...
Springer, 2020. — 191 p. — (Unsupervised and Semi-Supervised Learning). — ISBN: 978-3-030-22474-5. This book covers the state of the art in learning algorithms with an inclusion of semi-supervised methods to provide a broad scope of clustering and classification solutions for big data applications. Case studies and best practices are included along with theoretical models of...
2nd revised and extended Edition. — Springer, 2007. — 515 p. ISBN: 3540430601, 978-3540430605. This second and revised edition contains a detailed introduction to the key classes of intelligent data analysis methods. The twelve coherently written chapters by leading experts provide complete coverage of the core issues. The first half of the book is devoted to the discussion of...
2nd Edition. — Springer, 2020. — 427 p. — (Texts in Computer Science). — ISBN: 978-3-030-45573-6. Making use of data is not anymore a niche project but central to almost every project. With access to massive compute resources and vast amounts of data, it seems at least in principle possible to solve any problem. However, successful data science projects result from the...
Springer, 2010. — 394 p. — (Texts in Computer Science). — ISBN: 978-1-84882-259-7. The main motivation to write this book came from all our problems to fin suitable material for a textbook that would really help us to teach the practical aspects of data analysis together with the needed theoretical underpinnings. Many books out there tackle either one or the other of these...
N.-Y.: Wiley, 2012. — 411 p. — ISBN: 978-0-470-66556-5. A state of the art volume on statistical causality. Causality: Statistical Perspectives and Applications presents a wide-ranging collection of seminal contributions by renowned experts in the field, providing a thorough treatment of all aspects of statistical causality. It covers the various formalisms in current use,...
CRC Press, December 20, 2013, 2014. — 378 p. — e-ISBN: 978-1-4398-8033-3. Probability as an Alternative to Boolean Logic While logic is the mathematical foundation of rational reasoning and the fundamental principle of computing, it is restricted to problems where information is both complete and certain. However, many real-world problems, from financial investments to email...
Pierre Bessiere, Emmanuel Mazer, Juan Manuel Ahuactzin, Kamel Mekhnacha. — CRC Press, 2014. — 378 p. — (Machine Learning & Pattern Recognition) — ISBN13: 978-1-4398-8033-3. Probability as an Alternative to Boolean Logic While logic is the mathematical foundation of rational reasoning and the fundamental principle of computing, it is restricted to problems where information is...
Routledge, 2024. — 257 p. — ISBN: 978-1 -032 -16024 -5. Understanding the significance of data analytics is paramount for digital transformation but in many organizations, they are separate units without fully aligned goals. As organizations are applying digital transformations to be adaptive and agile in a competitive environment, data analytics can play a critical role in...
De Gruyter, 2024. — 520 p. — ISBN: 978-3-11-133113-3. The book provides a comprehensive and cognitive approach to building and deploying sophisticated information systems. The book utilizes non-linear optimization techniques, fuzzy logic, and rough sets to model various real-world use cases for the digital era. The hybrid information system modeling handles both qualitative and...
Cambridge University Press, 2019. — 513 p. — ISBN: 978-1-108-72774-7. Written in lucid language, this valuable textbook brings together fundamental concepts of data mining and data warehousing in a single volume. Important topics including information theory, decision tree, Naïve Bayes classifier, distance metrics, partitioning clustering, associate mining, data marts and...
Information Science Reference, 2016. — 337 p. This book evaluates the latest patterns and trending topics in the utilization of data mining tools and filtering practices, featuring emergent research and optimization techniques in the areas of opinion mining, text mining, and sentiment analysis.
IGI Global, 2014. - 405 p. - ISBN: 978-1466660861 Particularly in the fields of software engineering, virtual reality, and computer science, data mining techniques play a critical role in the success of a variety of projects and endeavors. Understanding the available tools and emerging trends in this field is an important consideration for any organization. Data Mining and...
CRC Press, 2018. — 393 p. — ISBN: 978-1-4987-6935-8. Hybrid Intelligent Techniques for Pattern Analysis and Understanding outlines the latest research on the development and application of synergistic approaches to pattern analysis in real-world scenarios. An invaluable resource for lecturers, researchers, and graduates students in computer science and engineering, this book...
Wiley, 2017. — 446 p. — ISBN10: 1119242924, 13 978-1119242925. A synergy of techniques on hybrid intelligence for real-life image analysis Hybrid Intelligence for Image Analysis and Understanding brings together research on the latest results and progress in the development of hybrid intelligent techniques for faithful image analysis and understanding. As such, the focus is on...
Leanpub, 2018. — 371 p. — ISBN 1365732355, 9781365732355. This book covers a variety of topics, including in-memory data grid, highly available service grid, streaming (event processing for IoT and fast data) and in-memory computing use cases from high-performance computing to get performance gains. The book will be particularly useful for those, who have the following use...
New York: Amazon Digital Services LLC , 2018. — 311 p. Up until recent years, large technology companies were the main driving force behind the big data revolution. However, other industries are slowly waking up to the opportunities that big data has to offer, as well as to the threat that these technology giants with their intuitive and pleasing goods and services and the...
New York: Amazon Digital Services LLC , 2018. — 311 p. Up until recent years, large technology companies were the main driving force behind the big data revolution. However, other industries are slowly waking up to the opportunities that big data has to offer, as well as to the threat that these technology giants with their intuitive and pleasing goods and services and the...
ISTE Ltd and John Wiley&Sons, Inc., 2011. — 288 p. — ISBN: 184821233X Graph partitioning is a theoretical subject with applications in many areas, principally: numerical analysis, programs mapping onto parallel architectures, image segmentation, VLSI design. During the last 40 years, the literature has strongly increased and big improvements have been made. This book brings...
119p. ISBN: 0-07-005779-6. This book contains simple examples to provide illustration. The data used in the examples contains information that is not based on any real companies or people. The author and publisher of this book have used their best efforts in preparing this book. The author and publisher make no warranty of any kind, expressed or implied, with regard to the...
McGraw-Hill, 1996. – 238 p. – ISBN: 0070057796, 9780070057791 Is your organization storing huge quantities of data that could be useful-but you don't know where to start? Do you have information about customers, distributors, markets, and competitors that you are not using to full advantage? And are you personally more interested in strategic applications and general overviews...
Hoboken: Wiley, 2020. — 345 p. The theme of this volume centers on clustering methodologies for data which allow observations to be described by lists, intervals, histograms, and the like (referred to as “symbolic” data), instead of single point values (traditional “classical” data). Clustering techniques are frequent participants in exploratory data analyses when the goal is...
Chichester: John Wiley & Sons Ltd., 2007. — 325 p. — ISBN: 0470090162, 9780470090169 With the advent of computers, very large datasets have become routine. Standard statistical methods don't have the power or flexibility to analyze these efficiently, and extract the required knowledge. An alternative approach is to summarize a large dataset in such a way that the resulting...
Academic Press, 2021. — 271 p. — ISBN: 978-0128206010. Artificial Intelligence in Data Mining: Theories and Applications offers a comprehensive introduction to data mining theories, relevant AI techniques, and their many real-world applications. This book is written by experienced engineers for engineers, biomedical engineers, and researchers in neural networks, as well as...
Morgan Kaufmann, 2015. — 685 p. — ISBN: 9780124115194 A comprehensive guide to the art and science of analyzing software data, with best practices generated by leading data scientists, collected from their experience training software engineering students and practitioners on how to master data science.
River Publishers, 2022. — 190 p. — ISBN: 978-1-003-33767-6. The sequential analysis of data and information gathered from past to present is called time series analysis. Time series data are of high dimension, large size, and updated continuously. A time series depends on various factors like trend, seasonality, cycle, and irregular data sets and is basically a series of data...
Packt Publishing, 2019. — 420 p. — ASIN B07LCNZPDX. Explore new and more sophisticated tools that reduce your marketing analytics efforts and give you precise results Key Features Study new techniques for marketing analytics Explore uses of machine learning to power your marketing analyses Work through each stage of data analytics with the help of multiple examples and...
Packt Publishing, 2019. — 420 p. — ASIN B07LCNZPDX. Explore new and more sophisticated tools that reduce your marketing analytics efforts and give you precise results Key Features Study new techniques for marketing analytics Explore uses of machine learning to power your marketing analyses Work through each stage of data analytics with the help of multiple examples and...
Cambridge: Cambridge University Press, 2020. — 422 p. — ISBN: 1108485065. This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks . Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as...
Cambridge University Press, 2020. — 424 p. — ISBN: 978-1108755528. This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular...
Springer, 2000. — 444. This book presents statistical methods for analyzing and visualizing complex, aggregated, relational and higher-level data. It extends classical methods of exploratory data analysis to the case of so-called 'symbolic variables' that may have values such as subsets of categories, intervals of the real line (e.g., minimum/ maximum daily sales), or frequency...
Editors: Mahdi Bohlouli , Bahram Sadeghi Bigham , Zahra Narimani , Mahdi Vasighi , Ebrahim Ansari. — Springer, 2020. — xi, 338 p. — (ecture Notes on Data Engineering and Communications Technologies 45). — ISBN: 978-3-030-37309-2; ISBN: 978-3-030-37308-5. Presents the results of the 7th International Conference on Contemporary Issues in Data Science (CiDaS2019) held from March 6...
Editors: Mahdi Bohlouli, Bahram Sadeghi Bigham, Zahra Narimani, Mahdi Vasighi, Ebrahim Ansari. — Springer, 2020. — xi, 338 p. — (ecture Notes on Data Engineering and Communications Technologies 45). — ISBN: 978-3-030-37308-5. This book presents outstanding theoretical and practical findings in data science and associated interdisciplinary areas. Its main goal is to explore how...
Palgrave Macmillan, 2014, 242 p. eBook ISBN: 978-1-137-40619-4 Hardcover ISBN: 978-1-137-40617-0 Softcover ISBN: 978-1-349-48786-8 This book will help marketing executives, brand managers and IT professional understand what BIG DATA means and how to capture it in a way that is useful for marketing It explains how the marketing function is undergoing fundamental changes Makes...
N.-Y.: Springer, 2015. - 167 p. This book offers a coherent and comprehensive approach to feature subset selection in the scope of classification problems, explaining the foundations, real application problems and the challenges of feature selection for high-dimensional data. The authors first focus on the analysis and synthesis of feature selection algorithms, presenting a...
Springer, 2010, -233 p. Genome classification, construction of phylogenetic trees, became today a major approach in studying evolutionary relatedness of various species in their vast diversity. Although the modern genome clustering delivers the trees which are very similar to those generated by classical means, and basic terminology is the same, the phenotypic traits and...
Wiley, 2018. - 304 p. - ISBN: 978-1119390305 Be prepared for the arrival of automated decision making Once thought of as science fiction, major corporations are already beginning to use cognitive systems to assist in providing wealth advice and also in medication treatment. The use of Cognitive Analytics/Artificial Intelligence (AI) Systems is set to accelerate, with the...
Springer, 2010. — 639 p. — ISBN: 978-3-642-14745-6. Over the last forty years there has been a growing interest to extend probability theory and statistics and to allow for more flexible modeling of imprecision, uncertainty, vagueness and ignorance. The fact that in many real-life situations data uncertainty is not only present in the form of randomness (stochastic uncertainty)...
Springer, 2013. — 377 p. Soft computing, as an engineering science, and statistics, as a classical branch of mathematics, emphasize different aspects of data analysis. Soft computing focuses on obtaining working solutions quickly, accepting approximations and unconventional approaches. Its strength lies in its flexibility to create models that suit the needs arising in...
John Wiley & Sons, Ltd, 2009. — 393 p. — (Wiley Series in Computational Statistics). — ISBN: 978-0-470-72210-7. Graphical models are of increasing importance in applied statistics, and in particular in data mining. Providing a self-contained introduction and overview to learning relational, probabilistic, and possibilistic networks from data, this second edition of Graphical...
Second Edition. — John Wiley, 2009. — 397 p. — ISBN: 978-0-470-72210-7. Although the origins of graphical models can be traced back to the beginning of the 20th century, they have become truly popular only since the mid-eighties, when several researchers started to use Bayesian networks in expert systems. But as soon as this start was made, the interest in graphical models grew...
The MIT Press, 2015. — 416 p. — ISBN 978–0-262–02856–1. "Big Data" is on the covers of Science, Nature, the Economist, and Wired magazines, on the front pages of the Wall Street Journal and the New York Times. But despite the media hyperbole, as Christine Borgman points out in this examination of data and scholarly research, having the right data is usually better than having...
Springer/Publishing House of Electronics Industry, 2023. — 353 p. Rather than presenting Python as Java or C, this textbook focuses on the essential Python programming skills for data scientists and advanced methods for big data analysts. Unlike conventional textbooks, it is based on Markdown and uses full-color printing and a code-centric approach to highlight the 3C...
The MIT Press, 2014. — 312 p. — ISBN: 978-0262526197. In the age of Big Data, the tools of information visualization offer us a macroscope to help us make sense of the avalanche of data available on every subject. This book offers a gentle introduction to the design of insightful information visualizations. It is the only book on the subject that teaches nonprogrammers how to...
SAGE Publications Ltd, 2018. — 662 p. — ASIN B01MZE96SV. 'This book fosters in-depth understanding of the logic underpinning the most common statistical tests within the behavioural sciences. By emphasising the shared ground between these tests, the author provides crucial scaffolding for students as they embark upon their research journey.' —Ruth Horry, Psychology, Swansea...
SAGE Publications Ltd, 2018. — 662 p. — ASIN B01MZE96SV. 'This book fosters in-depth understanding of the logic underpinning the most common statistical tests within the behavioural sciences. By emphasising the shared ground between these tests, the author provides crucial scaffolding for students as they embark upon their research journey.' —Ruth Horry, Psychology, Swansea...
Springer, 2019. — 619 p. — (Information Fusion and Data Science). — ISBN: 3030036421. This book presents a contemporary view of the role of information quality in information fusion and decision making, and provides a formal foundation and the implementation strategies required for dealing with insufficient information quality in building fusion systems for decision making....
Springer, 2019. — 619 p. — (Information Fusion and Data Science). — ISBN: 3030036421. This book presents a contemporary view of the role of information quality in information fusion and decision making, and provides a formal foundation and the implementation strategies required for dealing with insufficient information quality in building fusion systems for decision making....
Artech House, 2007, -393 p. In the heat of battle, a split second can be all the time a military commander has to give orders. Information fusion technology enables commanders to lead decisively and confidently during active conflict. Masses of live information are instantaneously integrated to create a coherent and precise picture of a rapidly evolving situation. This book...
Massachusetts Institute of Technology, Neural Information Processing Series, 2007. — 408 p. ISBN: 0262026252, 978-0262026253. Pervasive and networked computers have dramatically reduced the cost of collecting and distributing large datasets. In this context, machine learning algorithms that scale poorly could simply become irrelevant. We need learning algorithms that scale...
Cambridge University Press, 2019. — 447 p. — (Statistical and Probabilistic Mathematics). — ISBN: 978-1-108-49420-5. Cluster analysis finds groups in data automatically. Most methods have been heuristic and leave open such central questions as: how many clusters are there? Which method should I use? How should I handle outliers? Classification assigns new observations to groups...
Bouveyron Charles, Celeux Gilles, Murphy T. Brendan, Raftery Adrian E. — Cambridge University Press, 2019. — 447 p. — (Statistical and Probabilistic Mathematics). — ISBN: 978-1-108-49420-5. Cluster analysis finds groups in data automatically. Most methods have been heuristic and leave open such central questions as: how many clusters are there? Which method should I use? How...
Chapman&Hall/CRC, 2004 — 595 p. ISBN: 1-58488-344-8 This book contains a collection of selected representative papers of the thematic areas covered during the International Conference on Statistical Data Mining and Knowledge Discovery took place during June 22-25, 2002, including some of the keynote lectures. It is with regret that Usama Fayyad and Naeem Hashmi could not make a...
The Institution of Electrical Engineers, 1999. — 308 p. — ISBN: 0-85296-767-5. Estimating concept difficulty with cross entropy Analysing outliers by searching for plausible hypotheses Attribute-value distribution as a technique for increasing the efficiency of data mining Using background knowledge with attribute-oriented data mining A development framework for temporal data...
Springer, 2011, Softcover reprint of the original 1st ed. 1990 edition. — 237 p. — ISBN: 146127981X. This monograph is concerned with overdetermined systems, inconsistent systems with more equations than unknowns, in scientific data reduction. It is not a text on statistics, numerical methods, or matrix computations, although elements of all three, especially the latter, enter...
New York: A K Peters/CRC Press, 2021. — 421 p. In Data Sketches , Nadieh Bremer and Shirley Wu document the deeply creative process behind 24 unique data visualization projects, and they combine this with powerful technical insights that reveal the mindset behind coding creatively. Exploring 12 different themes – from the Olympics to Presidents & Royals and Movies to Myths &...
New York: A K Peters/CRC Press, 2021. — 421 p. In Data Sketches, Nadieh Bremer and Shirley Wu document the deeply creative process behind 24 unique data visualization projects, and they combine this with powerful technical insights which reveal the mindset behind coding creatively. Exploring 12 different themes – from the Olympics to Presidents & Royals and from Movies to Myths...
Springer, 2014. — 279 p. — (Mathematics and Visualization). — ISBN: 9783319040981, 9783319040998 This collection of peer-reviewed conference papers provides comprehensive coverage of cutting-edge research in topological approaches to data analysis and visualization. It encompasses the full range of new algorithms and insights, including fast homology computation, comparative...
Technical Report, Cambridge University, 2010. — 180 p. Computer programs to find formal proofs of theorems have a history going back nearly half a century. Originally designed as tools for mathematicians, modern applications of automated theorem provers and proof assistants are much more diverse. In particular they are used in formal methods to verify software and hardware...
Springer, 2023. — 393 p. — (Studies in Classification, Data Analysis, and Knowledge Organization). — ISBN: 978-3-031-09033-2. “Classification and Data Science in the Digital Age”, the 17th Conference of the International Federation of Classification Societies (IFCS), is held in Porto, Portugal, from July 19th to July 23rd, 2022, locally organized by the Faculty of Economics of...
Boca Raton: CRC Press, 2024. — 235 p. Fuzzy sets have long been employed to handle imprecise and uncertain information in the real world, but their limitations in dealing with incomplete and inconsistent data led to the emergence of neutrosophic sets. In this thought-provoking book, titled Data-Driven Modeling with Fuzzy Sets: A Neutrosophic Perspective, the authors delve into...
N.-Y.: Wiley Publishing Inc., 2014. — 408 p. — ISBN: 978-1118893173. Delve into your data for the key to success. Data mining is quickly becoming integral to creating value and business momentum. The ability to detect unseen patterns hidden in the numbers exhaustively generated by day-to-day operations allows savvy decision-makers to exploit every tool at their disposal in the...
Boca Raton (FL): CRC Press, 2023. — 266 p. — ISBN: 1032203250. An Introduction to R and Python for Data Analysis helps teach students to code in both R and Python simultaneously. As both R and Python can be used in similar manners, it is useful and efficient to learn both at the same time, helping lecturers and students to teach and learn more, saving time, whilst reinforcing...
CRC Press, 2023. — 249 p. — ISBN: 978-1-003-26324-1. An Introduction to R and Python for Data Analysis helps teach students to code in both R and Python simultaneously. As both R and Python can be used in similar manners, it is useful and efficient to learn both at the same time, helping lecturers and students to teach and learn more, save time, whilst reinforcing the shared...
Early Release. — O’Reilly Media, 2016. — 90 p. — ISBN13: 978-1-491-95289-4. A key component of data science is statistics and machine learning, but only a small proportion of data scientists are actually trained as statisticians. This concise guide illustrates how to apply statistical concepts essential to data science, with advice on how to avoid their misuse. Many courses and...
Early Release. — O’Reilly Media, 2016. — 90 p. — ISBN13: 978-1-491-95289-4. A key component of data science is statistics and machine learning, but only a small proportion of data scientists are actually trained as statisticians. This concise guide illustrates how to apply statistical concepts essential to data science, with advice on how to avoid their misuse. Many courses and...
Early Release. — O’Reilly Media, 2016. — 90 p. — ISBN13: 978-1-491-95289-4. A key component of data science is statistics and machine learning, but only a small proportion of data scientists are actually trained as statisticians. This concise guide illustrates how to apply statistical concepts essential to data science, with advice on how to avoid their misuse. Many courses and...
Early Release. — O’Reilly Media, 2016. — 90 p. — ISBN13: 978-1-491-95289-4. A key component of data science is statistics and machine learning, but only a small proportion of data scientists are actually trained as statisticians. This concise guide illustrates how to apply statistical concepts essential to data science, with advice on how to avoid their misuse. Many courses and...
John Wiley & Sons, Inc., 2024. — 384 p. — ISBN-13: 978-1394253807. Introductory statistics textbook with a focus on data science topics such as prediction, correlation, and data exploration Statistics for Data Science and Analytics is a comprehensive guide to statistical analysis using Python, presenting important topics useful for data science such as prediction, correlation,...
Wiley, 2024. — 384 p. — ISBN-13: 978-1394253807. Introductory statistics textbook with a focus on data science topics such as prediction, correlation, and data exploration Statistics for Data Science and Analytics is a comprehensive guide to statistical analysis using Python, presenting important topics useful for data science such as prediction, correlation, and data...
Springer, 2024. — 196 p. — ISBN: 978-3-031-55181-9. This book presents the fundamentals of vector retrieval. To this end, it delves into important data structures and algorithms that have been successfully used to solve the vector retrieval problem efficiently and effectively. This monograph is divided into four parts. The first part introduces the problem of vector retrieval...
Berlin: Springer, 2004. - 225 p. Objective of the Study Vector autoregressive (VAR) models have become one of the dominant research tools in the analysis of macroeconomic time series during the last two decades. The great success of this modeling class started with Sims' (1980) critique of the traditional simultaneous equation models (SEM). Sims criticized the use of 'too many...
Springer, 2018. — 535 p. — (Springer Series in Statistics). — ISBN: 978-3-030-02912-8. This book explains how to analyze independent data from factorial designs without having to make restrictive assumptions, such as normality of the data, or equal variances. The general approach also allows for ordinal and even dichotomous data. The underlying effect size is the nonparametric...
Cambridge University Press, 2019. — 496 p. — ISBN: 978-1-108-42209-3. Data-driven discovery is revolutionizing the modeling, prediction, and control of complex systems. This textbook brings together machine learning, engineering mathematics, and mathematical physics to integrate modeling and control of dynamical systems with modern methods in data science. It highlights many of...
2nd ed. — Cambridge: Cambridge University Press, 2022. — 615 p. — ISBN: 1009098489. Data-driven discovery is revolutionizing how we model, predict, and control complex systems. Now with Python and MatLAB, this textbook trains mathematical scientists and engineers for the next generation of scientific discovery by offering a broad overview of the growing intersection of...
The MIT Press, 632 p., 2010. This text offers an introduction to the core topics underlying modern search technologies, including algorithms, data structures, indexing, retrieval, and evaluation. The emphasis is on implementation and experimentation; each chapter includes exercises and suggestions for student projects.
Springer, 2011. – 575 p. – ISBN: 3642201911, 9783642201929 Modern statistics deals with large and complex data sets, and consequently with models containing a large number of parameters. This book presents a detailed account of recently developed approaches, including the Lasso and versions of it for various models, boosting methods, undirected graphical modeling, and...
Routledge, 2022. — 299 p. — ISBN: 9781032066813. Up to 70% and even more of corporate Analytics Efforts fail! Even after these corporations have made very large investments, in time, talent, and money, in developing what they thought were good data and analytics programs. Why? Because the executives and decision makers and the entire analytics team have not considered the most...
Leanpub, 2020. — 296 p. From the author of a world bestseller published in eleven languages, The Hundred-Page Machine Learning Book, this new book by Andriy Burkov is the most complete applied AI book out there. It is filled with best practices and design patterns of building reliable machine learning solutions that scale. Andriy Burkov has a Ph.D. in AI and is the leader of a...
New York: Springer, 2018. — 181 p. This book offers an introduction to artificial adaptive systems and a general model of the relationships between the data and algorithms used to analyze them. It subsequently describes artificial neural networks as a subclass of artificial adaptive systems, and reports on the backpropagation algorithm, while also identifying an important...
Springer, 2006, -279 p. Rule-based evolutionary online learning systems, often referred to as Michiganstyle learning classifier systems (LCSs), were proposed nearly thirty years ago (Holland, 1976; Holland, 1977) originally calling them cognitive systems. LCSs combine the strength of reinforcement learning with the generalization capabilities of genetic algorithms promising a...
John Wiley & Sons, Inc., 2017. — 416 p. — ISBN: 9781119092933. A comprehensive overview of data science covering the analytics, programming, and business skills necessary to master the discipline. Finding a good data scientist has been likened to hunting for a unicorn: the required combination of technical skills is simply very hard to find in one person. In addition, good data...
John Wiley & Sons, Inc., 2017. — 416 p. — ISBN: 978-1119092940. A comprehensive overview of data science covering the analytics, programming, and business skills necessary to master the discipline. Finding a good data scientist has been likened to hunting for a unicorn: the required combination of technical skills is simply very hard to find in one person. In addition, good...
Leanpub, 2018. — 149 p. — ISBN: 1365121976. In this concise book you will learn what you need to know to begin assembling and leading a data science enterprise , even if you have never worked in data science before. You'll get a crash course in data science so that you'll be conversant in the field and understand your role as a leader . You'll also learn how to recruit,...
Mercury Learning and Information, 2021. — 451 p. — ISBN: 978-1-68392-733-4. As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to the basic concepts of data science using Python 3 and other computer applications. It is intended to be a fast-paced introduction tosome basic features of data analytics and also covers statistics, data...
Mercury Learning and Information, 2023. — 387 p. — ISBN: 978-1683929529. This book contains a fast-paced introduction to data-related tasks in preparation for training models on datasets. It presents a step-by-step, Python-based code sample that uses the kNN algorithm to manage a model on a dataset. Next, you will see other classification algorithms (on the same dataset), such...
Society for Industrial and Applied Mathematics, 2018. — 121 p. — (MOS-SIAM Series on Optimization). — ISBN13: 9781611975437. This book is about making decisions driven by experience. In this context, a scenario is an observation that comes from the environment, and scenario optimization refers to optimizing decisions over a set of available scenarios. Scenario optimization can...
John Wiley & Sons, 2012. — 347 p. — (Wiley series in agent technology; 3). This book is intended as a reference for researchers practitioners and industry professionals, as well as postgraduate and advanced undergraduate students studying distributed computing, wireless networking, and agent technologies. It provides a clear and concise presentation of major concepts,...
Springer, 2023. — 217 p. — (Advanced Studies in E-Commerce). — ISBN: 978-981-99-3587-1. Give the preliminary introduction of e-commerce and Big Data analysis. Offers guide to building a programming environment for finishing real operation of analyzing e-commerce Big Data. This book seeks to give readers a preliminary but critical introduction and summary of e-commerce and Big...
Springer, 2008. — 308 p. — ISBN: 0387794190, 9780387794204 Data Mining for Business Applications presents state-of-the-art data mining research and development related to methodologies, techniques, approaches and successful applications. The contributions of this book mark a paradigm shift from "data-centered pattern mining" to "domain-driven actionable knowledge discovery...
Springer, 2010. — 265 p. — ISBN: 978-1-4419-5736-8. In the present thriving global economy a need has evolved for complex data analysis to enhance an organization’s production systems, decision-making tactics, and performance. In turn, data mining has emerged as one of the most active areas in information technologies. Domain Driven Data Mining offers state-of the-art research...
Springer, 2018. — 404 p. — ISBN 978-3-319-95092-1. This book explores answers to the fundamental questions driving the research, innovation and practices of the latest revolution in scientific, technological and economic development: how does data science transform existing science, technology, industry, economy, profession and education? How does one remain competitive in the...
Springer, 2018. — 404 p. — ISBN 978-3-319-95092-1. This book explores answers to the fundamental questions driving the research, innovation and practices of the latest revolution in scientific, technological and economic development: how does data science transform existing science, technology, industry, economy, profession and education? How does one remain competitive in the...
Cambridge: Cambridge University Press, 2022. — 233 p. The continued and dramatic rise in the size of data sets has meant that new methods are required to model and analyze them. This timely account introduces topological data analysis (TDA), a method for modeling data by geometric objects, namely graphs, and their higher-dimensional versions: simplicial complexes. The authors...
Morgan & Claypool, 2010, -90 p. Many information retrieval (IR) systems suffer from a radical variance in performance when responding to users’ queries. Even for systems that succeed very well on average, the quality of results returned for some of the queries is poor. Thus, it is desirable that IR systems will be able to identify "difficult" queries so they can be handled...
Wiley, 2004. — 220 p. — ISBN: 0470850558, 978-0470850558. With the advent of the Web along with the unprecedented amount of information available in electronic format, conceptual data analysis is more useful and practical than ever, because this technology addresses important limitations of the systems that currently support users in their quest for information. Concept Data...
Wiley, 2004. — 220 p. — ISBN: 0470850558, 9780470850558, 9780470011287 +OCR With the advent of the Web along with the unprecedented amount of information available in electronic format, conceptual data analysis is more useful and practical than ever, because this technology addresses important limitations of the systems that currently support users in their quest for...
CRC Press, 2010. – 182 p. – ISBN: 142007573X, 9781420075731 After more than 15 years of development drawing on research in cognitive psychology, statistical graphics, computer science, and cartography, micromap designs are becoming part of mainstream statistical visualizations. Bringing together the research of two leaders in this field, Visualizing Data Patterns with Micromaps...
Springer, 2020. — 264 p. — (Mathematics and Visualization). — ISBN: 978-3-030-43035-1. This collection of peer-reviewed workshop papers provides comprehensive coverage of cutting-edge research into topological approaches to data analysis and visualization. It encompasses the full range of new algorithms and insights, including fast homology computation, comparative analysis of...
Springer International Publishing AG, 2017. — 355 p. — (Mathematics and Visualization). — ISBN: 978-3-319-44682-0. This book presents contributions on topics ranging from novel applications of topological analysis for particular problems, through studies of the effectiveness of modern topological methods, algorithmic improvements on existing methods, and parallel computation of...
Facet Publishing, 2023. — 142 p. — ISBN: 978-1-78330-618-3. The past two decades have seen an explosion both in the volume of data we use and our understanding of its management. However, while techniques and technology for manipulating data have advanced rapidly in this time, the concepts around the value of our data have not. This lack of progress has made it increasingly...
CRC Press/Chapman and Hall, 2020. — 545 p. — (Mathematics Series). — ISBN13: 978-0-367-02705-6. Mathematicians have skills that, if deepened in the right ways, would enable them to use data to answer questions important to them and others, and report those answers in compelling ways. Data science combines parts of mathematics, statistics, computer science. Gaining such power...
CRC Press/Chapman and Hall, 2020. — 545 p. — (Mathematics Series). — ISBN13: 978-0-367-02705-6. Mathematicians have skills that, if deepened in the right ways, would enable them to use data to answer questions important to them and others, and report those answers in compelling ways. Data science combines parts of mathematics, statistics, computer science. Gaining such power...
Oxford: Oxford University Press, 2000. — 217 p. This book introduces the growing range of computational methods which arise from research into Artificial Intelligence (AI), and which are coming to be recognised as tools of great potential in modern scientific analysis. These methods offer tremendous potential in the analysis of scientific data: papers reporting the application...
Springer, 2010. — 490 p. The success of companies is partly dependent on the generation of suitable knowledge upon which to base decision-making, and due to the centrality of the marketing function in organizations, marketing-related knowledge is of strategic relevance. In this connection, it is unlikely to reach a full understanding of any set of systems supporting marketing...
O’Reilly Media, 2019. — 317 p. — ISBN: 978-1492036579, 1492036579. If you’re an executive, manager, or anyone interested in leveraging AI within your organization, this is your guide. You’ll understand exactly what AI is, learn how to identify AI opportunities, and develop and execute a successful AI vision and strategy. Alex Castrounis, business consultant and former IndyCar...
Springer, 2016. — 312 p. In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the business perspective and how big data technology can be...
Springer, 2015. — 420 p. — ISBN10: 3319092588, ISBN13: 978-3-319-09258-4. Clustering, the unsupervised classification of patterns into groups, is one of the most important tasks in exploratory data analysis. Primary goals of clustering include gaining insight into, classifying, and compressing data. Clustering has a long and rich history that spans a variety of scientific...
Springer, 2010, -315 p. Who are the strongest European competitors on software ideas? Who is the best doctor to cure insomnia in a nearby hospital? Where can I attend an interesting conference in my field close to a sunny beach? This information is available on the Web, but no software system can accept such queries nor compute the answer. At most, users can identify...
Springer, 2011, -263 p. Searching for information is perhaps the most important application of today’s computing systems. In the new century, all the World’s citizens have become accustomed to thinking of the Web as the source for answering their information needs, and search engines as their Web interface. Websites reporting a movie’s plot, tomorrow’s weather in our next...
Springer, 2012. — 264 p. Search computing, which has evolved from service computing, focuses on building the answers to complex search queries by interacting with a constellation of cooperating search services, using the ranking and joining of results as the dominant factors for service composition. The field is multi-disciplinary in nature and takes advantage of contributions...
Springer, 2013. While information retrieval was developed within the librarians’ community well before the use of computers, its importance boosted at the turn of the century, with the diffusion of the World Wide Web. Big players in the computer industry, such as Google and Yahoo!, were the primary contributors of a technology for fast access to Web information. Searching...
Springer, 2015. — 215 p. — ISBN: 978-3319540238. This book focuses on new and emerging data mining solutions that offer a greater level of transparency than existing solutions. Transparent data mining solutions with desirable properties (e.g. effective, fully automatic, scalable) are covered in the book. Experimental findings of transparent solutions are tailored to different...
Cambridge University Press, 2006. — 403 p. — ISBN13: 978-0-511-19178-7 ; 978-0-521-84108-5 ; ISBN10: 0-511-19178-2 ; 0-521-84108-9. This important text and reference for researchers and students in machine learning, game theory, statistics, and information theory offer a comprehensive treatment of the problem of predicting individual sequences. Unlike standard statistical...
Springer, 2021. - 366 p. - ISBN: 9783030601034 This volume presents the latest advances in statistics and data science, including theoretical, methodological and computational developments and practical applications related to classification and clustering, data gathering, exploratory and multivariate data analysis, statistical modeling, and knowledge discovery and seeking. It...
Boca Raton: CRC Press, 2019. — 147 p. This book emphasizes various image shape feature extraction methods which are necessary for image shape recognition and classification. Focussing on a shape feature extraction technique used in content-based image retrieval (CBIR), it explains different applications of image shape features in the field of content-based image retrieval....
CRC Press, 2019. — 147 p. — ISBN13: 978-0-367-25439-1. This book emphasizes various image shape feature extraction methods which are necessary for image shape recognition and classification. Focussing on a shape feature extraction technique used in content-based image retrieval (CBIR), it explains different applications of image shape features in the field of content-based...
Morgan Kaufmann Publishers, 2009. — 460 p. — ISBN: 978-0123746290. All of the elements about data mining are here together in a single resource written by the best and brightest experts in the field! This book consolidates both introductory and advanced topics, thereby covering the gamut of data mining and machine learning tactics — from data integration and preprocessing to...
San Francisco: Morgan Kaufmann Publishers, 2003. — 364 p. — ISBN: 1-55860-754-4. This book is about finding significant statistical patterns relating hypertext documents, topics, hyperlinks, and queries and using these patterns to connect users to information they seek. TheWeb has become a vast storehouse of knowledge, built in a decentralized yet collaborative manner. It is a...
Springer, 2021. — 390 p. — (Advanced Sciences and Technologies for Security Applications). — ISBN: 978-3-030-72138-1. This book provides information on data-driven infrastructure design, analytical approaches, and technological solutions with case studies for smart cities. This book aims to attract works on multidisciplinary research spanning across the computer science and...
Springer, Cham, 2022. — 196 p. — ISBN: 978-3-030-93088-2. This book is a comprehensive, hands-on guide to the basics of data mining and machine learning with a special emphasis on supervised and unsupervised learning methods. The book lays stress on the new ways of thinking needed to master machine learning based on the Python, R, and Java programming platforms. This book first...
Springer, 2023. — 230 p. — (Data-Intensive Research). — ISBN: 978-981-19-8003-9. This book covers various cutting-edge computing technologies and their applications over data. It discusses in-depth knowledge of big data and cloud computing, quantum computing, cognitive computing, and computational biology concerning different kinds of data analysis and applications. In this...
Independently published, 2020. — 145 p. With the artificial intelligence (AI) age upon us, many organizations (from startups, and nonprofits to large companies) have already started investing in the process to leverage it, allowing them to create competitive advantages never imagined possible before. The difficulty in getting started with AI is what business problems focus on,...
CRC Press, 2017. — 410 p. — ISBN: 0-412-05271-7. This book present graphical methods for analysing data. Some methods are new and some are old, some require a computer and others only paper and pencil; but they are all powerful data analysis tools. In many situations, a set of data even a large set- can be adequately analysed through graphical methods alone. In most other...
CRC Press, 2021. — 188 p. The goal of this book is to present a modeling framework for the Virtual Organization that is focused on process composition. This framework uses Predicate Calculus Knowledge Bases. Petri Net-based modeling is also discussed. In this context, a Data Mining model is proposed, using a fuzzy mathematical approach, aiming to discover knowledge. A...
World Scientific Publishing, 2001. — 925 p. — ISBN: 9789810249731. This is the first handbook to cover comprehensively both software engineering and knowledge engineering - two important fields that have become interwoven in recent years. Over 60 international experts have contributed to the book. Each chapter has been written in such a way that a practitioner of software...
World Scientific Publishing, 2002. — 808 p. — ISBN: 9810249748. This handbook comprehensively covers both software engineering and knowledge engineering, and over 60 international experts have contributed to it. Each chapter explores one topic and can be read independently of other chapters, providing both a general survey of the topic and an in-depth exposition of the state of...
World Scientific Publishing, 2005. — 522 p. — ISBN: 9812562737. The book covers the recent new advances in software engineering and knowledge engineering. It is intended as a supplement to the two-volume handbook of software engineering and knowledge engineering. The editor and authors are well-known international experts in their respective fields of expertise. Each chapter in...
MIT Press, 2006. — 501 p. — ISBN: 978-0-262-03358-9. During the last years, semi-supervised learning has emerged as an exciting new direction in machine learning reseach. It is closely related to profound issues of how to do inference from data, as witnessed by its overlap with transductive inference (the distinctions are yet to be made precise). At the same time, dealing with...
Springer, 2020. — 441 p. — (International Series in Operations Research & Management Science Book 290). – ISBN: 978-3-030-43383-3. This book includes a spectrum of concepts, such as performance, productivity, operations research, econometrics, and data science, for the practically and theoretically important areas of ‘productivity analysis/data envelopment analysis’ and ‘data...
CRC Press, 2024. — 261 p. This book covers various topics related to marketing and business analytics. It explores how organizations can increase their profits by making better decisions promptly through the use of data analytics. This book is meant for students, practitioners, industry professionals, researchers, and academics working in the fields of commerce and marketing,...
Springer, 2007, -472 p. The field of automatic document processing, more than a century old, is quite a mature one. It started with an attempt to automatically read printed text in the era well before the birth of digital computers and has been since continuing on various topics like document image enhancement, document structure and layout analysis, handwritten character...
CRC Press, 2022. — 177 p. — ISBN: 9781032131757. Advancements in the technology and availability of data sources have led to the `Big Data' era. Working with large data offers the potential to uncover more fine-grained patterns and take timely and accurate decisions, but it also creates a lot of challenges such as slow training and scalability of machine learning models. One of...
Chapman and Hall/CRC, 2022. — 322 p. — ISBN: 9781003283249. This book covers the topic of data science in a comprehensive manner and synthesizes both fundamental and advanced topics of a research area that has now reached its maturity. The book starts with the basic concepts of data science. It highlights the types of data and their use and importance, followed by a discussion...
McGraw-Hill Education, 2019. — 256 p. The indispensable guide to data-powered marketing from the team behind the data management platform that helps fuel Salesforce?the #1 customer relationship management (CRM) company in the world A tectonic shift in the practice of marketing is underway. Digital technology, social media, and e-commerce have radically changed the way consumers...
McGraw-Hill Education, 2019. — 256 p. The indispensable guide to data-powered marketing from the team behind the data management platform that helps fuel Salesforce?the #1 customer relationship management (CRM) company in the world A tectonic shift in the practice of marketing is underway. Digital technology, social media, and e-commerce have radically changed the way consumers...
CRC Press, Auerbach Publ., 2022. — 329 p. — ISBN: 978-0-367-70236-6 The strategically sound combination of edge computing and Artificial Intelligence (AI) results in a series of distinct innovations and disruptions enabling worldwide enterprises to visualize and realize next-generation software products, solutions, and services. Businesses, individuals, and innovators are all...
Springer, 2008. — 936 p. — ISBN: 978-3-540-33036-3. Complete overview of data visualization Comprehensive coverage of the field, both in theory and practice Visualizing the data is an essential part of any data analysis. Modern computing developments have led to big improvements in graphic capabilities and there are many new possibilities for data displays. This new volume in...
Springer, 2008. — 936 p. — ISBN: 3540330364 Complete overview of data visualization Comprehensive coverage of the field, both in theory and practice Visualizing the data is an essential part of any data analysis. Modern computing developments have led to big improvements in graphic capabilities and there are many new possibilities for data displays. This new volume in the...
Springer, 2016. — 128 p. — ISBN: 9789811006319 This book offers an overview of traditional big visual data analysis approaches and provides state-of-the-art solutions for several scene comprehension problems, indoor/outdoor classification, outdoor scene classification, and outdoor scene layout estimation. It is illustrated with numerous natural and synthetic color images, and...
Springer, 2013. — 207 p. — ISBN: 978-1461456377, e-ISBN: 978-1461456384. Before Newton-Leibnitzs time, mathematics was basically discrete. Since then, continuous mathematics has dominated the literature. But discrete mathematics has found new life with the appearance and widespread use of the digital computer. However, we still prefer to use the thinking involved in continuous...
New York: Springer, 2016. - 213 p. Explains the most current methods for solving cutting edge problems in data science and big data. Provides problem solving techniques and case studies. Covers a wide range of mathematical problems in data science in detail. Topics: Information Systems and Communication Service. Computer Communication Networks. Mathematics of Computing.
Springer, 2016. — 219 p. — ISBN: 3319251252, 9783319251257 This book describes current problems in data science and Big Data. Key topics are data classification, Graph Cut, the Laplacian Matrix, Google Page Rank, efficient algorithms, hardness of problems, different types of big data, geometric data structures, topological data processing, and various learning methods. For...
Springer, 2022. — 126 p. — (Automation, Collaboration, & E-Services 09). — ISBN13: 9783030964696. This book explains network science and its applications in data analytics for critical infrastructures, engineered systems, and knowledge acquisition. Each chapter describes step-by-step processes of how network science enables and automates data analytics through examples. The...
Kluwer, 2004, -201 p. In the early 1990s, the establishment of the Internet brought forth a revolutionary viewpoint of information storage, distribution, and processing: the World-Wide Web is becoming an enormous and expanding distributed digital library. Along with the development of the Web, image indexing and retrieval have grown into research areas sharing a vision of...
New York: Springer, 2022. — 91 p. Provides various techniques to discover useful knowledge based on different data models of multi-sourced data. Covers both truth discovery and fact discovery based on different data quality properties in detail. Presents optimization methods for developers solving knowledge discovery problems.
ITexLi, 2024. — 124 p. — ISBN: 0854667695 9780854667697 0854667709 9780854667703 0854667717 9780854667710. The book aims to provide a deep dive into state-of-the-art developments and practical uses of edge computing in the current technological scenario. This book summarizes the state-of-the-art developments and future research challenges for researchers, practitioners, and...
CRC Press, 2002. — 228 p. Effective decision support systems (DSS) are quickly becoming key to businesses gaining a competitive advantage, and the effectiveness of these systems depends on the ability to construct, maintain, and extract information from data warehouses. While many still perceive data warehousing as a subdiscipline of management information systems (MIS), in...
NYU Press, 2017. — 320 p. Algorithms are everywhere, organizing the near limitless data that exists in our world. Derived from our every search, like, click, and purchase, algorithms determine the news we get, the ads we see, the information accessible to us and even who our friends are. These complex configurations not only form knowledge and social relationships in the...
IEEE Press/John Wiley, 2007. — 557 p. A learning method is an algorithm (usually implemented in software) that estimates an unknown mapping (dependency) between a system’s inputs and outputs from the available data, namely from known (input, output) samples. Once such a dependency has been accurately estimated, it can be used for prediction of future system outputs from the...
Morgan & Claypool Publ., USA, 2017. — 196 p. — (Synthesis Lectures on Computer Vision 11) — ISBN: 9781627052924. Outlier-contaminated data is a fact of life in computer vision. For computer vision applications to perform reliably and accurately in practical settings, the processing of the input data must be conducted in a robust manner. In this context, the maximum consensus...
Institute of Physics Publishing, 2023. — 234 p. — (IOP ebooks Series) — ISBN: 978-0-7503-5015-0. Research methodology is the core component of any valid research. This book provides a guide to conducting research within the broad field of computing. This book is a survival manual that contains a detailed research procedure from the perspective of different computing disciplines...
Springer, 2021. — 315 p. — ISBN: 978-3-030-66287-5. This book addresses theories and empirical procedures for the application of machine learning and data mining to solve problems in cyber dynamics. It explains the fundamentals of cyber dynamics, and presents how these resilient algorithms, strategies, techniques can be used for the development of the cyberspace environment...
Packt Publishing, 2013. — 162 p. — ISBN: 1782169334, 9781782169338 Data is everywhere and the amount is increasing so much that the gap between what people can understand and what is available is widening relentlessly. There is a huge value in data, but much of this value lies untapped. 80% of data mining is about understanding data, exploring it, cleaning it, and structuring...
Butterworth-Heinemann, 2008. — 295 p. The authors present a practical and highly informative perspective on the elements that are crucial to the success of a marketing campaign. Unlike books that are either too theoretical to be of practical use to practitioners, or too soft to serve as solid and measurable implementation guidelines, this book focuses on the integration of...
Springer, 2014, -157 p. This book explores the concept of artificial intelligence based on knowledge-based algorithms. Given the current hardware and software technologies and artificial intelligence theories, we can think of how efficient to provide a solution, how best to implement a model and how successful to achieve it. This edition provides readers with the most recent...
Springer International Publishing AG, 2017. — 281 p. — (International Series in Operations Research & Management Science 252) — ISBN: 3319535161. This book focuses on optimal control and systems engineering in the big data era. It examines the scientific innovations in optimization, control and resilience management that can be applied to further success. In both business...
NOVA, 2024. — 255 p. Two cutting-edge technologies that are completely changing the way humans interact with digital surroundings are artificial intelligence (AI) and the metaverse. Data engineering-driven AI is a major factor in determining how the metaverse experience is structured. To train AI models, data engineering entails gathering, processing, and evaluating enormous...
Elsevier, 2017. — 321 p. — ISBN: 978-0128097151. Data Analytics for Intelligent Transportation Systems provides in-depth coverage of data-enabled methods for analyzing intelligent transportation systems that includes detailed coverage of the tools needed to implement these methods using big data analytics and other computing techniques. The book examines the major...
N.-Y.: Wiley, 2015(!). - 792 p. Data Mining Algorithms is a practical, technically-oriented guide to data mining algorithms that covers the most important algorithms for building classification, regression, and clustering models, as well as techniques used for attribute selection and transformation, model quality evaluation, and creating model ensembles. The author presents...
Manning Publications, 2016. — 320 p. — ISBN: 978-1633430037. Many companies need developers with data science skills to work on projects ranging from social media marketing to machine learning. Discovering what you need to learn to begin a career as a data scientist can seem bewildering. This book is designed to help you get started. Introducing Data ScienceIntroducing Data...
Manning Publications, 2016. — 320 p. — ISBN: 978-1633430037. Many companies need developers with data science skills to work on projects ranging from social media marketing to machine learning. Discovering what you need to learn to begin a career as a data scientist can seem bewildering. This book is designed to help you get started. Introducing Data ScienceIntroducing Data...
Manning Publications, 2016. — 320 p. — ISBN10: 1633430030, ISBN13: 9781633430037. Many companies need developers with data science skills to work on projects ranging from social media marketing to machine learning. Discovering what you need to learn to begin a career as a data scientist can seem bewildering. This book is designed to help you get started. Introducing Data...
Springer Science+Business Media, LLC, 2007. — 600 p. Data mining and knowledge discovery process . What is data mining? How does data mining differ from other approaches? Summary and bibliographical notes. Exercises. The knowledge discovery process . What is the knowledge discovery process? Knowledge discovery process models. Research issues. Summary and bibliographical notes....
The Institution of Engineering and Technology, 2019. — 349. — (IET Control, Robotics and Sensors Series 117). — ISBN: 978-1-78561-584-9. The Internet-of-Things revolution is coming to reality and most of real-life scenarios are experiencing the pervasive presence of network-enabled devices, in most cases sensors. The deployment of heterogeneous sensors at several locations...
New York: ITExLi, 2018. — 300 p. This book explores a broad set of ideas and presents some of the state-of-the-art research in this field. The book provides researchers and practitioners working in the field of ontology and information science an opportunity to share their theories, methodologies, experiences, and experimental results related to ontology development and...
Springer Science+Business Media, 2009. — 786 p. — ISBN: 978-0387981345, e-ISBN: 978-0387981352. This book is a thorough introduction to the most important topics in data mining and machine learning. It begins with a detailed review of classical function estimation and proceeds with chapters on nonlinear regression, classification, and ensemble methods. The final chapters focus...
Springer, 2019. — 486 p. — ISBN: 3030177661. This textbook will familiarize students in economics and business, as well as practitioners, with the basic principles, techniques, and applications of applied statistics, statistical testing, and multivariate data analysis. Drawing on practical examples from the business world, it demonstrates the methods of univariate, bivariate,...
Winton Clem, 2024. — 87 p. — ASIN: B0D64KW2HH. Embark on a journey to master the art and science of data with "Data Analysis and Data Science." This comprehensive guide equips you with the knowledge and skills to extract meaningful insights from data, drive informed decision-making, and fuel innovation in your field. Combining theoretical foundations with practical...
Wiley, 2019. — 386 p. — ISBN: 978-1-119-48825-5. Standardizes the definition and framework of analytics ABOK stands for Analytics Body of Knowledge. Based on the authors’ definition of analytics — which is “a process by which a team of people helps an organization make better decisions (the objective) through the analysis of data (the activity)”— this book from Institute for...
Springer, 2002, -118 p. This volume is based on a workshop held on September 13, 2001 in New Orleans, LA, USA as part of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. The title of the workshop was: Information Retrieval Techniques for Speech Applications. Interest in speech applications dates back a number of decades....
Isaac D. Cody, 2016. — 262 p. — ISBN: 1541333306. This is a 3 book bundle related to data analytics and hacking computers and hacking mobile devices, apps, and game consoles! What's included in this 3 book bundle manuscript: Data Analytics: Practical Data Analysis and Statistical Guide to Transform and Evolve Any Business, Leveraging the power of Data Analytics, Data Science,...
Isaac D. Cody, 2016. — 262 p. — ISBN: 1541333306. This is a 3 book bundle related to data analytics and hacking computers and hacking mobile devices, apps, and game consoles! What's included in this 3 book bundle manuscript: Data Analytics: Practical Data Analysis and Statistical Guide to Transform and Evolve Any Business, Leveraging the power of Data Analytics, Data Science,...
Isaac D. Cody, 2016. — 262 p. — ISBN: 1541333306. This is a 3 book bundle related to data analytics and hacking computers and hacking mobile devices, apps, and game consoles! What's included in this 3 book bundle manuscript: Data Analytics: Practical Data Analysis and Statistical Guide to Transform and Evolve Any Business, Leveraging the power of Data Analytics, Data Science,...
Isaac D. Cody, 2016. — 262 p. — ISBN: 1541333306. This is a 3 book bundle related to data analytics and hacking computers and hacking mobile devices, apps, and game consoles! What's included in this 3 book bundle manuscript: Data Analytics: Practical Data Analysis and Statistical Guide to Transform and Evolve Any Business, Leveraging the power of Data Analytics, Data Science,...
CreateSpace Independent Publishing, 2016. — 200 p. Data Analytics and Linux Operating System. Beginners Guide to Learn Data Analytics, Predictive Analytics and Data Science with Linux Operating System (Hacking Freedom Data Driven) This is a 2 book bundle related to Data Analytics and beginning your quest to understand the Linux Command Line Operating System Two manuscripts for...
New York: Springer, 2017. — 491 p. This book offers a concise introduction and comprehensive overview of the state of the art in the field of decision-making and consensus modeling, with a special emphasis on fuzzy methods. It consists of a collection of authoritative contributions reporting on the decision-making process from different perspectives: from psychology to social...
CRC Press, 2023. — 414 p. — ISBN: 978-1-032-34097-5. The subject of this textbook is to act as an introduction to data science/data analysis applied to finance, using R and its most recent and freely available extension libraries. The targeted academic level is undergrad students with a major in data science and/or finance and graduate students and of course...
Addison-Wesley Professional, 2012. — 360 p. — ISBN: 032150481X, 9780321504814 Using Agile methods, you can bring far greater innovation, value, and quality to any data warehousing (DW), business intelligence (BI), or analytics project. However, conventional Agile methods must be carefully adapted to address the unique characteristics of DW/BI projects. In Agile Analytics, Agile...
Academic Press, 2019. — 382 p. — (Intelligent Data-Centric Systems). — ISBN: 978-0-12-813189-3. This book explores the state-of-the -art software tools and innovative strategies to provide better understanding of positioning and navigation in indoor environments using fingerprinting techniques. The book provides the different problems and challenges of indoor positioning and...
Springer, 2021. — 357 p. — ISBN: 978-3030668907. This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some successful applications of advanced...
Wiley, 2015. — 288 p. — ISBN: 9781118893760 The goal of this book is to define the notion of an activity model learned from sensor data and to present the key algorithms that form the core of the field. While many current efforts have contributed to the ability to automatically recognize known activities, there are other aspects of activity learning that we want to include in...
Wiley, 2006. — 500 p. — ISBN: 0471731900, 9780471731900 This text takes a focused and comprehensive look at mining data represented as a graph, with the latest findings and applications in both theory and practice provided. Even if you have minimal background in analyzing graph data, with this book you’ll be able to represent data as graphs, extract patterns and concepts from...
Springer, 2013. — 116 p. The amount and the complexity of the data gathered by current enterprises are increasing at an exponential rate. Consequently, the analysis of Big Data is nowadays a central challenge in Computer Science, especially for complex data. For example, given a satellite image database containing tens of Terabytes, how can we find regions aiming at identifying...
Springer, 2019. — 131 p. This book reflects the author’s years of hands-on experience as an academic and practitioner. It is primarily intended for executives, managers and practitioners who want to redefine the way they think about artificial intelligence (AI) and other exponential technologies. Accordingly the book, which is structured as a collection of largely...
London, UK: CPI Group (UK) Ltd., 2018. — 209 p. — ISBN: 178330278X. Research Data Management (RDM) has become a professional topic of great importance internationally following changes in scholarship and government policies about the sharing of research data. Exploring Research Data Management provides an accessible introduction and guide to RDM with engaging tasks for the...
John Wiley & Sons, 2024. — 480 p. — ISBN: 1394213247. Introduction to essential concepts and techniques of the fundamentals of R and Python needed to start data science projects. Organized with a strong focus on open data, Data Science Fundamentals with R, Python, and Open Data discusses concepts, techniques, tools, and first steps to carry out data science projects, with a...
Springer, 1998. — 332 p. In recent years, there have been several attempts to define a logic for information retrieval (IR). The aim was to provide a rich and uniform representation of information and its semantics with the goal of improving retrieval effectiveness. The basis of a logical model for IR is the assumption that queries and documents can be represented effectively...
Boca Raton: CRC Press, 2013. — 433 p. Data-intensive science has the potential to transform scientific research and quickly translate scientific progress into complete solutions, policies, and economic success. But this collaborative science is still lacking the effective access and exchange of knowledge among scientists, researchers, and policy makers across a range of...
Springer, 2023. — 486 p. — ISBN: 978-3-031-39128-6. Building upon the knowledge introduced in The Data Science Framework, this book provides a comprehensive and detailed examination of each aspect of Data Analytics, both from a theoretical and practical standpoint. The book explains representative algorithms associated with different techniques, from their theoretical...
Packt Publishing, 2013. — 339 p. — ISBN: 978-1-78328-099-5. Transform, model, and visualize your data through hands-on projects, developed in open-source tools. Overview 1) Explore how to analyze your data in various innovative ways and turn them into insight. 2) Learn to use the D3js visualization tool for exploratory data analysis. 3) Understand how to work with graphs and...
Wiley-IEEE Press, 2024. — 925 p. — eBook ISBN: 978-1-394-22966-6. Learn to bridge the gap between machine learning and metaheuristic methods to solve problems in optimization approaches. Few areas of technology have greater potential to revolutionize the globe than artificial intelligence. Two key areas of artificial intelligence, machine learning, and metaheuristic...
Springer, 2022. — 367 p. — ISBN: 9783030986360. This open-access book aims to educate data space designers to understand what is required to create a successful data space. It explores the cutting-edge theory, technologies, methodologies, and best practices for data spaces for both industrial and personal data and provides the reader with a basis for understanding the design,...
Springer, 2016. — 204 p. — ISBN: 978-3-319-38868-7. This book brings together a rich selection of studies in mathematical modeling and computational intelligence, with application in several fields of engineering, like automation, biomedical, chemical, civil, electrical, electronic, geophysical and mechanical engineering, on a multidisciplinary approach. Authors from five...
Springer, 2014. — 94 p. Data mining has emerged as a new science — the exploration, algorithmically and systematically, of data in order to extract patterns that can be used as a means of supporting organizational decision making. Data mining has evolved from machine learning and pattern recognition theories and algorithms for modeling data and extracting patterns. The...
Springer Science+Business Media, LLC, — 317 p. — ISBN: 978-1-4614-1902-0, e-ISBN: 978-1-4614-1903-7. With the rapid development of data mining and knowledge discovery, a key issue that could significantly affect the real-world applications of data mining is the reliability issues of knowledge discovery. Naturally, people will ask if the discovered knowledge is reliable. Why do...
2nd Edition. — O’Reilly Media, 2022. — 550 p. — ISBN: 978-1-098-11180-9. (9th Release). How do you turn raw, unprocessed, or malformed data into dynamic, interactive web visualizations? In this practical book, author Kyran Dale shows data scientists and analysts – as well as Python and JavaScript developers – how to create the ideal toolchain for the job. By providing engaging...
Second Edition. — Technics Publications, 2017. — 644 p. — ISBN: 978-1634622349. The Data Management Body of Knowledge (DAMA-DMBOK2) presents a comprehensive view of the challenges, complexities, and value of effective data management. Today's organizations recognize that managing data is central to their success. They recognize data has value and they want to leverage that...
Technics Publications, 2017. — 644 p. — ISBN: 978-1634622349. The Data Management Body of Knowledge (DAMA-DMBOK2) presents a comprehensive view of the challenges, complexities, and value of effective data management. Today's organizations recognize that managing data is central to their success. They recognize data has value and they want to leverage that value. As our ability...
Technics Publications, 2009. — 430 p. — ISBN: 9781935504023. The first edition of the DAMA Guide to the Data Management Body of Knowledge (DAMA-DMBOK) remains an important reference for CDMP. It provides data management and IT professionals, executives, knowledge workers, educators, and researchers with a framework to manage their data and mature their information...
Springer, 2020. — 382 p. — ISBN: 978-3-030-14251-3. This book provides a step-by-step guidance on how to implement analytical methods in project risk management. The text focuses on engineering design and construction projects and as such is suitable for graduate students in engineering, construction, or project management, as well as practitioners aiming to develop, improve,...
Packt Publishing, 2017. — 450 p. — ISBN: 978-1-78829-575-8. Complex statistics in Machine Learning worry a lot of developers. Knowing statistics helps you build strong Machine Learning models that are optimized for a given problem statement. This book will teach you all it takes to perform complex statistical computations required for Machine Learning. You will gain information...
Boston: Artech House, 2008. — 404 p. Master cutting-edge Level 2 fusion techniques that help you develop powerful situation assessment services with eye-popping capabilities and performance with this trail-blazing resource. The book explores object and situation fusion processes with appropriate handling of uncertainties, ad applies cutting-edge artificial intelligence and...
John Wiley & Sons, 2003. — 203 p. — (Wiley Series in Probability and Statistics). — ISBN: 978-0-471-26851-2. Written for practitioners of data mining, data cleaning and database management. Presents a technical treatment of data quality including process, metrics, tools and algorithms. Focuses on developing an evolving modeling strategy through an iterative data exploration...
2nd edition. — Independently published, 2021. — 584 p. — ASIN B095J177P4. Have you already taken a CDMP (Certified Data Management Professional) Data Management Fundamentals course from a Registered Training Provider? Or Have you self-studied using the DAMA DMBOK2? Are you still not quite confident that you are ready to take the certification exam? If so, you've come to the...
CRC, 2016. — 184 p. — ISBN: 978-1-4822-3832-7. Several statistical techniques are used for the design of materials through extraction of knowledge from existing data banks. These approaches are getting more attention with the application of computational intelligence techniques. This book illustrates the alternative but effective methods of designing materials, where models are...
Boca Raton: CRC Press, 2014. — 300 p. — ISBN: 978-1-4822-1587-8. This book presents a philosophical study of statistics via the concept of data approximation. Developed by the well-regarded author, this approach discusses how analysis must take into account that models are, at best, an approximation of real data. It is, therefore, closely related to robust statistics and...
CRC Press, 2023. — 403 p. — (Data Science Series). Introduction to Environmental Data Science focuses on data science methods in the R language applied to environmental research, with sections on exploratory data analysis in R including data abstraction, transformation, and visualization; spatial data analysis in vector and raster models; statistics and modeling ranging from...
McGraw-Hill, 2023. — 235 p. — ISBN: 978-1-26-428541-9. When managing massive amounts of information is part of your job and daily life, how do you transform a feeling of being overwhelmed into a sense of abundance and empowerment? This groundbreaking guide delivers the practical insights and strategies you need to build a positive relationship with information and excel at work...
Princeton University Press, 2021. — 400 p. — ISBN-10 0691214360; ISBN-13 978-0691214368. An engaging introduction to data science that emphasizes critical thinking over statistical techniques. An introduction to data science or statistics shouldn’t involve proving complex theorems or memorizing obscure terms and formulas, but that is exactly what most introductory quantitative...
Princeton University Press, 2021. — 400 p. — ISBN: 978-0-691-21501-3. An introduction to data science or statistics shouldn’t involve proving complex theorems or memorizing obscure terms and formulas, but that is exactly what most introductory quantitative textbooks emphasize. In contrast, Thinking Clearly with Data focuses, first and foremost, on critical thinking and...
Chichester: Wiley, 2007. - 457 p. A comprehensive, coherent, and in depth presentation of the state of the art in fuzzy clustering. Fuzzy clustering is now a mature and vibrant area of research with highly innovative advanced applications. Encapsulating this through presenting a careful selection of research contributions, this book addresses timely and relevant concepts and...
Wiley, 2018. — 393 p. — ISBN: 978-1-119-48208-9. Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations. Readers will learn...
Berlin: Springer, 2008. — 347 p. The question, how to combine probability and logic with learning, is getting an increased attention in several disciplines such as knowledge representation, reasoning about uncertainty, data mining, and machine learning simultaneously. This results in the newly emerging subfield known under the names of statistical relational learning and...
Academic Press, 2022. — 292 p. The book explores advances in the latest data mining tools, methods, algorithms, and architectures being developed specifically for social computing and social network analysis. The book reviews major emerging trends in technology that are supporting current advancements in social networks, including data mining techniques and tools. It also aims...
Leanpub, 2023-04-16. — 81 p. Most of the analytics tools available focus on assessing customer clicks, but have you ever thought about how little we know about what happens in between clicks? In this book, we present methods, tools, and applications so that you can start uncovering the value of multiple interaction data available when people interact with computing systems....
Manning Publications, 2025. — 392 p. — ISBN-13: 978-1633439658. When you know the cause of an event, you can affect its outcome. This accessible introduction to causal inference shows you how to determine causality and estimate effects using statistics and machine learning. A/B tests or randomized controlled trials are expensive and often unfeasible in a business environment....
N.-Y.: Wiley, 2014. — 289 p. — ISBN: 978-1118618042. With big data analytics comes big insights into profitability. Big data is big business. But having the data and the computational power to process it isn't nearly enough to produce meaningful results. Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and Practitioners is a complete resource for...
CRC Press, 2021. — 233 p. — ISBN: 978-0-367-75254-5. Soft computing techniques are no longer limited to the arena of computer science. The discipline has an exponentially growing demand in other branches of science and engineering and even into health and social science. This book contains theory and applications of soft computing in engineering, health, and social and applied...
Morgan & Claypool, 2013. — 191 p. Graphical models (e.g., Bayesian and constraint networks, influence diagrams, and Markov decision processes) have become a central paradigm for knowledge representation and reasoning in both artificial intelligence and computer science in general. These models are used to perform many reasoning tasks, such as scheduling, planning and learning,...
Cham: Springer International Publishing, 2019 - 242 p. - ISBN: 978-3-030-01872-6 This book highlights research in linking and mining data from across varied data sources. The authors focus on recent advances in this burgeoning field of multi-source data fusion, with an emphasis on exploratory and unsupervised data analysis, an area of increasing significance with the pace of...
New York: Springer, 2015. — 122 p. This book provides a comprehensive tutorial on similarity operators. The authors systematically survey the set of similarity operators, primarily focusing on their semantics, while also touching upon mechanisms for processing them effectively. The book starts off by providing introductory material on similarity search systems, highlighting the...
John Wiley & Sons, Wiley Series in Computational Statistics, 2012. — 344 p. ISBN: 0470195150, 978-0470195154. Explore the multidisciplinary nature of complex networks through machine learning techniques. Statistical and Machine Learning Approaches for Network Analysis provides an accessible framework for structurally analyzing graphs by bringing together known and novel...
CRC Press, 2017. — 393 p. — ISBN: 9781498799324. A broad definition of Data Science describes the process of analyzing data to transform data into insights. This also involves asking philosophical, legal and social questions in the context of data generation and analysis. In fact, Big Data also belongs to this universe as it comprises data gathering, data fusion and analysis...
Springer, 2009. — 121 p. This monograph is devoted to theoretical and experimental study of inhibitory decision and association rules. Inhibitory rules contain on the right-hand side a relation of the kind "attribut does not equal value". The use of inhibitory rules instead of deterministic (standard) ones allows us to describe more completely information encoded in decision or...
New York: Springer, 2000. — 169 p. — (CISM Courses and Lectures 408). — ISBN: 978-3-211-83326-1. The book aims to merge Computational Intelligence with Data Mining, which are both hot topics of current research and industrial development, Computational Intelligence, incorporates techniques like data fusion, uncertain reasoning, heuristic search, learning, and soft computing. A....
Springer, 2024. — 299 p. — ISBN: 978-3-031-55638-8. This book introduces readers to Big Data analytics. It covers the background to and the concepts of Big Data, Big Data analytics, and cloud computing, along with the process of setting up, configuring, and getting familiar with the Big Data analytics working environments in the first two chapters. The third chapter provides...
Wiley, 2020. — 384 p. — ISBN: 9781119549932. A practical source for performing essential statistical analyses and data management tasks in R Univariate, Bivariate, and Multivariate Statistics Using R offers a practical and very user-friendly introduction to the use of R software that covers a range of statistical methods featured in data analysis and data science. The author —...
Springer, 2018. — 299 p. — (Annals of Information Systems 21). — ISBN: 9783319580968, 9783319580975. Amit V. Deokar, Ashish Gupta, Lakshmi S. Iyer, Mary C. Jones (eds.) This book explores emerging research and pedagogy in analytics and data science that have become core to many businesses as they work to derive value from data. The chapters examine the role of analytics and...
Berlin: Springer Vieweg, 2021. — 215 p. This book includes a novel motif discovery for time series, KITE (ill-Known motIf discovery in Time sEries data), to identify ill-known motifs transformed by affine mappings such as translation, uniform scaling, reflection, stretch, and squeeze mappings. Additionally, such motifs may be covered with noise or have variable lengths. Besides...
Springer, 2019. — 832 p. — ISBN: 9783319975474. This book features 29 peer-reviewed papers presented at the 9th International Conference on Soft Methods in Probability and Statistics (SMPS 2018), which was held in conjunction with the 5th International Conference on Belief Functions (BELIEF 2018) in Compiègne, France on September 17–21, 2018. It includes foundational,...
CRC Press, 2021. — 266 p. — (Artificial Intelligence (AI): Elementary to Advanced Practices). — ISBN: 9781000179538. Artificial Intelligence (AI), when incorporated with machine learning and deep learning algorithms, has a wide variety of applications today. This book focuses on the implementation of various elementary and advanced approaches in AI that can be used in various...
Academic Press, Elsevier, 2019. — 276 p. — ISBN: 978-0-12-815458-8. Social Network Analytics: Computational Research Methods and Techniques focuses on various technical concepts and aspects of social network analysis. The book features the latest developments and findings in this emerging area of research. In addition, it includes a variety of applications from several domains,...
Cambridge: Cambridge University Press, 2022. — 455 p. Topological data analysis (TDA) has emerged recently as a viable tool for analyzing complex data, and the area has grown substantially both in its methodologies and applicability. Providing a computational and algorithmic foundation for techniques in TDA, this comprehensive, self-contained text introduces students and...
Springer – 2012, 464 p. ISBN: 3642210368 The theme of the meeting was Statistical Methods for the Analysis of Large Data-Sets. In recent years there has been increasing interest in this subject; in fact a huge quantity of information is often available but standard statistical techniques are usually not well suited to managing this kind of data. The conference serves as an...
Springer, 2020. — x, 217 p. This book analyzes techniques that use the direct and inverse fuzzy transform for image processing and data analysis. The book is divided into two parts, the first of which describes methods and techniques that use the bi-dimensional fuzzy transform method in image analysis. In turn, the second describes approaches that use the multidimensional fuzzy...
Springer, 2011. — 464 p. — ISBN: 978-3-642-17347-9. Self-organisation, self-regulation, self-repair and self-maintenance are promising conceptual approaches for dealing with complex distributed interactive software and information-handling systems. Self-organising applications dynamically change their functionality and structure without direct user intervention, responding to...
2nd Edition. — Edward Elgar Publishing, 2023. — 347 p. — ISBN: 978-1-80392-985-9. Taking the Fear Out of Data Analysis provides readers with the necessary knowledge and skills to understand, perform, and interpret quantitative data analysis effectively. Acknowledging that people often dislike statistics and quantitative methods, this book illustrates that statistical reasoning...
Wiley-ISTE, 2020. — 245 p. — (Big Data, Artificial Intelligence and Data Analysis Set, Volume 4). — ISBN: 978-1-119-69496-0 January 2020 Data science unifies statistics, data analysis and machine learning to achieve a better understanding of the masses of data which are produced today, and to improve prediction. Special kinds of data (symbolic, network, complex, compositional)...
Wiley-Interscience – 2008, 476 p. ISBN: 0470018836, 9780470018835 Symbolic data analysis is a relatively new field that provides a range of methods for analyzing complex datasets. Standard statistical methods do not have the power or flexibility to make sense of very large datasets, and symbolic data analysis techniques have been developed in order to extract knowledge from...
Wiley-ISTE, 2021. — 297 p. — ISBN: 978-1-78630-673-9. Data analysis is a scientific field that continues to grow enormously, most notably over the last few decades, following rapid growth within the tech industry, as well as the wide applicability of computational techniques alongside new advances in analytic tools. Modeling enables data analysts to identify relationships, make...
Wiley-ISTE, 2024. — 401 p. This book is a collective work by several leading scientists, analysts, engineers, mathematicians, and statisticians who have been working at the forefront of data analysis and related applications, arising from data science, operations research, engineering, machine learning, or statistics. The chapters of this collaborative work represent a...
San Rafael: Morgan & Claypool, 2021. — 257 p. This book provides a comprehensive and accessible introduction to knowledge graphs, which have recently garnered notable attention from both industry and academia. Knowledge graphs are founded on the principle of applying a graph-based abstraction to data and are now broadly deployed in scenarios that require integrating and...
Springer, 2019. — 268 p. — ISBN 978-3-030-00733-1. This book equips readers to handle complex multi-view data representation, centered around several major visual applications, sharing many tips and insights through a unified learning framework. This framework is able to model most existing multi-view learning and domain adaptation, enriching readers’ understanding from their...
Springer, 2019. — 268 p. — ISBN 978-3-030-00733-1. This book equips readers to handle complex multi-view data representation, centered around several major visual applications, sharing many tips and insights through a unified learning framework. This framework is able to model most existing multi-view learning and domain adaptation, enriching readers’ understanding from their...
De Gruyter, 2021. - 490 p. - ISBN: 9783110697803 The amount of new information is constantly increasing, faster than our ability to fully interpret and utilize it to improve human experiences. Addressing this asymmetry requires novel and revolutionary scientific methods and effective human and artificial intelligence interfaces. By lifting the concept of time from a positive...
Springer, 2009. — 412 p. Multimedia content analysis has progressed from low-level feature based algorithms to finding application in a variety of products and systems today. The practical applications have in turn thrown up new problems for further research in both algorithms and applications. This book therefore addresses a timely need by capturing the state of the art and...
2nd Edition. — Chapman & Hall/CRC texts in statistical science series, 2002. — 221 p. The original purpose ofthe book was to present a unified theoretical and conceptual framework for statistical modeling in a way that was accessible to undergraduate students and researchers in other fields. This new edition has been expanded to include nominal (or multinomial) and ordinal...
Wiley, 2019. — 304 p. — ISBN: 1119550505. “Life on earth is filled with many mysteries, but perhaps the most challenging of these is the nature of Intelligence.” – Prof. Terrence J. Sejnowski, Computational Neurobiologist The main objective of this book is to create awareness about both the promises and the formidable challenges that the era of Data-Driven Decision-Making and...
Wiley, 2019. — 304 p. — ISBN: 1119550505. “Life on earth is filled with many mysteries, but perhaps the most challenging of these is the nature of Intelligence.” – Prof. Terrence J. Sejnowski, Computational Neurobiologist The main objective of this book is to create awareness about both the promises and the formidable challenges that the era of Data-Driven Decision-Making and...
Morgan & Claypool Publishers, 2019. - 148 p. - ISBN: 9781681735047 This book presents pattern-based problem-solving methods for a variety of machine learning and data analysis problems. The methods are all based on techniques that exploit the power of group differences. They make use of group differences represented using emerging patterns (aka contrast patterns), which are...
CRC Press, 2013. — 428 p. — ISBN: 1439854327, 9781439854327 — eISBN: 9781439854334 A Fruitful Field for Researching Data Mining Methodology and for Solving Real-Life Problems Contrast Data Mining: Concepts, Algorithms, and Applications collects recent results from this specialized area of data mining that have previously been scattered in the literature, making them more...
Springer International Publishing AG, 2017. — 109 p. — (SpringerBriefs in Complexity) — ISBN10: 3319538853. This brief presents readers with a summary of classic, modern, and state-of-the-art methods for discovering the roles of entities in networks (including social networks) that range from small to large-scale. It classifies methods by their mathematical underpinning,...
Springer, 2023. — 593 p. — (Studies in Big Data 112). – — ISBN: 978-3-031-08410-2. This book broadly covers the given spectrum of disciplines in Computational Life Sciences, transforming it into a strong helping hand for teachers, students, practitioners, and researchers. In Life Sciences, problem-solving and data analysis often depend on biological expertise combined with...
Amazon Digital Services LLC, 2019. — 87 p. — ISBN N\A. A Perfect book to stock your personal e-library. Accelerate your understanding of R, MatLAB, SPSS or Excel with this must have reference book! As you might be aware, the internet contains lots of excellent R, MatLAB, SPSS and Microsoft Excel teaching and learning materials for students, lecturers, statisticians, data...
3rd Edition. — Tickling Keys, 2022. — 277 p. — ISBN: 978-1-61547-074-7. Guerrilla Data Analysis Using Microsoft Excel: Excel Skirmishes and Conquering Crap Data Third Ed. goes beyond Excel tips & tricks and includes real-world warnings and case studies.?When asked about the motivation for this book, Oz replied: “This is for the person who’s been thrown into the fire with Excel...
Wiley, 2008. — 291 p. Based around eleven international real life case studies and including contributions from leading experts in the field this groundbreaking book explores the need for the grid-enabling of data mining applications and provides a comprehensive study of the technology, techniques and management skills necessary to create them. This book provides a simultaneous...
CreateSpace Independent Publishing Platform, 2016. — 387 p. — ISBN: 1530655277, 9781530655274 If you have a question about Data Science this is the book with the answers. Data Science: Questions and Answers takes some of the best questions and answers asked on the datascience.stackexchange.com website. You can use this book to look up commonly asked questions, browse questions...
O’Reilly Media, 2024. — 257 p. — ISBN-13: 978-1098154837. Real-time applications are becoming the norm today. However building a model that works properly requires real-time data from the source, in-flight stream processing, and low latency serving of its analytics. With this practical book, data engineers, data architects, and data analysts will learn how to use streaming...
O’Reilly Media, Inc., 2024. — 260 p. — (Final Release). — ISBN: 978-1-098-15483-7. Real-time applications are becoming the norm today. However building a model that works properly requires real-time data from the source, in-flight stream processing, and low latency serving of its analytics. With this practical book, data engineers, data architects, and data analysts will learn...
Wiley, 2021. — 514 p. — ISBN: 9781119654742. Currently many different application areas for Big Data (BD) and Machine Learning (ML) are being explored. These promising application areas for BD/ML are the social sites, search engines, multimedia sharing sites, various stock exchange sites, online gaming, online survey sites and various news sites, and so on. To date, various...
Elsevier, 2021. — 312 p. — ISBN: 978-0128179765. Data Science Applied to Sustainability Analysis focuses on the methodological considerations associated with applying this tool in analysis techniques such as lifecycle assessment and materials flow analysis. As sustainability analysts need examples of applications of big data techniques that are defensible and practical in...
New York: O’Reilly, 2014. — 66 p. Looking Toward the Future The Shape of Anomaly Detection Finding “Normal” If you enjoy math, read this description of a probabilistic model of “normal”… Human Insight Helps Finding Anomalies Once again, if you like math, this description of anomalies is for you… Take-Home Lesson: Key Steps in Anomaly Detection A Simple Approach: Threshold...
New York: O’Reilly Media, 2014. — 81 p. Time series data is of growing importance, especially with the rapid expansion of the Internet of Things. This concise guide shows you effective ways to collect, persist, and access large-scale time series data for analysis. You’ll explore the theory behind time series databases and learn practical methods for implementing them. Authors...
O’Reilly Media, 2014. — 56 p. — ISBN: 9781491915387. Apache Mahout committers Ted Dunning and Ellen Friedman walk you through a design that relies on careful simplification. You’ll learn how to collect the right data, analyze it with an algorithm from the Mahout library, and then easily deploy the recommender using search technology, such as Apache Solr or Elasticsearch....
Springer, 2009. — 276 p. The book brings together aspects of statistics and machine learning to provide a comprehensive guide to evaluate, interpret and understand biometric data. This professional book naturally leads to topics including data mining and prediction, widely applied to other fields but not rigorously to biometrics. This volume places an emphasis on the various...
Academic Press/Elsevier, 2023. — 330 p. Data Analysis for Social Microblogging Platforms explores the nature of microblog datasets, also covering the larger field focusing on information, data, and knowledge in the context of natural language processing (NLP). The book investigates a range of significant computational techniques which enable data and computer scientists to...
Cham: Springer, 2023. — 260 p. This book provides an overview of a wide range of relevant applications and reveals how to solve them. Many of the latest applications in finance, technology, education, medicine, and other important and relevant fields are data-driven. The volumes of data are enormous. Specific methods need to be developed or adapted to solve a particular...
Springer, 2019. — 121 p. — (Springer Briefs in Advanced Information and Knowledge Processing). — ISBN: 3030243664. Data science addresses the need to extract knowledge and information from data volumes, often from real-time sources in a wide variety of disciplines such as astronomy, bioinformatics, engineering, science, medicine, social science, business, and the humanities ....
Morgan Kaufmann, 2011. - 712 p., ISBN: 978-0-12-372512-7 Search has been vital to artificial intelligence from the very beginning as a core technique in problem solving. The authors present a thorough overview of heuristic search with a balance of discussion between theoretical analysis and efficient implementation and application to real-world problems. Current developments in...
CompreQuest Books, 2024. — 483 p. — (Mastering Database Management Series). Discover the Power of Databases. Unlock the potential of your data with "Database Fundamentals: Strategies for Efficient Access to Information and Enhanced Decision-Making." This comprehensive guide is your gateway to mastering database management, a crucial skill in today’s data-driven world. Whether...
Springer, 2017. - 386 p. - ISBN: 978-3319415727 This volume conveys some of the surprises, puzzles and success stories in high-dimensional and complex data analysis and related fields. Its peer-reviewed contributions showcase recent advances in variable selection, estimation and prediction strategies for a host of useful models, as well as essential new developments in the...
Springer International Publishing, 2019. — 198 p. This volume features selected, refereed papers on various aspects of statistics, matrix theory, and its applications to statistics, as well as related numerical linear algebra topics and numerical solution methods, which are relevant for problems arising in statistics and in big data. The contributions were originally presented...
CRC Press, 2023. — 311 p. — ISBN: 978-1-032-19707-4. "Artificial intelligence and the use of computational methods to extract information from data are providing adequate tools to monitor and predict water pollutants and water quality issues faster and more accurately. Smart sensors and machine learning models help detect and monitor the dispersion and leakage of pollutants...
Wiley-Scrivener, 2024. — 384 p. The combination of cognitive analytics and Reinforcement Learning is a transformational force in the field of modern technological breakthroughs, reshaping the decision-making, problem-solving, and innovation landscape; this book offers an examination of the profound overlap between these two fields and illuminates its significant consequences...
Wiley, 2016. — 314 p. — (Methods and Applications in Data Mining). — ISBN: 9781118998236 This book discusses the insights, challenges, issues, expectations, and practical implementation of data mining (DM) within educational mandates. Initial series of chapters offer a general overview of DM, Learning Analytics (LA), and data collection models in the context of educational...
N.-Y.: Wiley, 2014. - 432 p. Construct a robust end-to-end solution for analyzing and visualizing streaming data Real-time analytics is the hottest topic in data analytics today. In Real-Time Analytics: Techniques to Analyze and Visualize Streaming Data, expert Byron Ellis teaches data analysts technologies to build an effective real-time analytics platform. This platform can...
2nd Edition. — De Gruyter, 2022. — 422 p. — ISBN: 978-3-11-079588-2. The book aims to help students become data scientists. Since this requires a series of courses over a considerable period, the book intends to accompany students from the beginning to an advanced understanding of the knowledge and skills that define a modern data scientist. The book presents a comprehensive...
Kogan Page, 2018. — 272 p. Data science is the most exciting skill you can master. Data has dramatically changed how our world works. From entertainment to politics, from technology to advertising and from science to the business world, data is integral and its only limit is our imagination. If you want to have a vibrant and valuable professional life, being skilled with data...
New York: Prentice Hall, 2016. — 235 p. — ISBN: 0134291077 , 9780134291079. Big Data Science Fundamentals offers a comprehensive, easy-to-understand, and up-to-date understanding of Big Data for all business professionals and technologists. Leading enterprise technology author Thomas Erl introduces key Big Data concepts, theory, terminology, technologies, key analysis/analytics...
Eryurek E., Gilad U., Lakshmanan V., Kibunguchy-Grant A., Ashdown J. — O’Reilly Media, 2021. — 240 p. — ISBN: 9781492063490. 2021-03-08: First Release As you move data to the cloud, you need to consider a comprehensive approach to data governance, along with well-defined and agreed-upon policies to ensure your organization meets compliance requirements. Data governance...
Springer, 2020. — 263 p. — (Behaviormetrics: Quantitative Approaches to Human Behavior, Volume 3). — ISBN: 978-981-15-2551-3. This book reconsiders statistical methods from the point of view of entropy, and introduces entropy-based approaches for data analysis. Further, it interprets basic statistical methods, such as the chi-square statistic, t-statistic, F-statistic and the...
5th edition. — New York: Pearson, 2013. — 543 p. — ISBN: 978-0-273-76822-7. A pragmatic approach to statistics, data analysis and decision modeling. Statistics, Data Analysis & Decision Modeling focuses on the practical understanding of its topics, allowing readers to develop conceptual insight on fundamental techniques and theories. Evans’ dedication to present material in a...
Springer, 2023. This book describes the probability theory associated with frequently used statistical procedures and the relation between probability theory and statistical inference. The first third of the book is dedicated to probability theory including topics relating to events, random variables, and the Central Limit Theorem. Statistical topics then include parameter...
Information Science Reference, 2009. — 344 p. As data mining is one of the most rapidly changing disciplines with new technologies and concepts continually under development, academicians, researchers, and professionals of the discipline need access to the most current information about the concepts, issues, trends, and technologies in this emerging field. The book serves as a...
O’Reilly Media, Inc., 2022. — 89 p. This book is an introduction to Causal Inference in Python, but it is not an introductory book in general. It’s introductory because I’ll focus on application, rather than rigorous proofs and theorems of causal inference; additionally, when forced to choose, I’ll opt for a simpler and intuitive explanation, rather than a complete and complex...
Arcler Press, 2021. — 218 p. — ISBN: 978-1-77407-621-7. This book explores the principles underpinning data science. It considers the how and why of modern data science. The book goes further than existing books by applying data to decision making. Not only is the book useful for undergraduates, but it can also help business owners in improving their decision making. Using real...
Kluwer, 1996. — 154 p. The problem on target is the searching of large multimedia databases by content. For example, 'given a collection of color images, find the ones that look like a sunset'. Research on a specific domain (eg., machine vision, voice processing, text, retrieval) typically focuses on feature extraction and similarity functions, with little regard to the...
CRC, 2020. — 775 p. — ISBN: 9781466510845. Statistical Foundations of Data Science gives a thorough introduction to commonly used statistical models, contemporary statistical machine learning techniques and algorithms, along with their mathematical insights and statistical theories. It aims to serve as a graduate-level textbook and a research monograph on high-dimensional...
N.-Y.: Chapman and Hall/CRC, 2015. - 297 p. Robust Methods for Data Reduction gives a non-technical overview of robust data reduction techniques, encouraging the use of these important and useful methods in practical applications. The main areas covered include principal components analysis, sparse principal component analysis, canonical correlation analysis, factor analysis,...
Academic Press, 2019. — 1209 p. — ISBN: 978-0-12-811216-8. This book covers both statistics and operations research while most competing textbooks focus on one or the other. As a result, the book more clearly defines the principles of business analytics for those who want to apply quantitative methods in their work. Its emphasis reflects the importance of regression,...
Academic Press, 2019. — 1209 p. — ISBN: 978-0-12-811216-8. Data Science for Business and Decision-Making covers both statistics and operations research while most competing textbooks focus on one or the other. As a result, the book more clearly defines the principles of business analytics for those who want to apply quantitative methods in their work. Its emphasis reflects the...
Academic Press, 2019. — 1209 p. — ISBN: 978-0-12-811216-8. Data Science for Business and Decision-Making covers both statistics and operations research while most competing textbooks focus on one or the other. As a result, the book more clearly defines the principles of business analytics for those who want to apply quantitative methods in their work. Its emphasis reflects the...
Academic Press, 2023. — 621 p. — ISBN: 978-0-12-824271-1. Data Science, Analytics, and Machine Learning with R explain the principles of data mining and machine learning techniques and accentuate the importance of applied and multivariate modeling. The book emphasizes the fundamentals of each technique, with step-by-step codes and real-world examples with data from areas such...
Uiz Paulo Favero, Patrícia Belfiore, Rafael de Freitas Souza. — Academic Press/Elsevier, 2023. — 662 p. — ISBN: 978-0-12-824271-1. Data Science, Analytics, and Machine Learning with R explains the principles of data mining and Machine Learning techniques and accentuates the importance of applied and multivariate modeling. The book emphasizes the fundamentals of each technique,...
Hoboken: Wiley, 2023. — 332 p. Fuzzy Systems Modeling in Environmental and Health Risk Assessment Demonstrates the successful application of fuzzy systems modeling to real-world environmental and health problems. In Fuzzy Systems Modeling in Environmental and Health Risk Assessment, a team of distinguished researchers delivers an up-to-date collection of the most successful and...
IGI, 2008. — 394 p. — ISBN13: 9781599045283; ISBN10: 1599045281; EISBN13 9781599045306. The field of data mining has seen a demand in recent years for the development of ideas and results in an integrated structure. Mathematical Methods for Knowledge Discovery & Data Mining focuses on the mathematical models and methods that support most data mining applications and solution...
Springer, 2003. — 495 p. Multimedia information technologies, which provide comprehensive and intuitive information for a broad range of applications, have strong impact on modem life, and have changed our way of learning and thinking. Over the past two decades, there has been an explosive growth in the use of digital multimedia (including audio, video, images and graphics)...
Dieter Fensel, Umutcan Şimşek, Kevin Angele, Elwin Huaman, Elias Kärle, Oleksandra Panasiuk, Ioan Toma, Jürgen Umbrich, Alexander Wahler. — Springer, 2020. — 156 p. — ISBN: 978-3-030-37438-9. This book describes methods and tools that empower information providers to build and maintain knowledge graphs, including those for manual, semi-automatic, and automatic construction;...
Dieter Fensel, Umutcan Şimşek, Kevin Angele, Elwin Huaman, Elias Kärle, Oleksandra Panasiuk, Ioan Toma, Jürgen Umbrich, Alexander Wahler. — Springer, 2020. — 156 p. — ISBN: 978-3-030-37438-9. This book describes methods and tools that empower information providers to build and maintain knowledge graphs, including those for manual, semi-automatic, and automatic construction;...
Bentham Science Publishers, 2015. — 268 p. — ASIN: B00LUDABNM Introduction to Computer Data Representation introduces readers to the representation of data within computers. Starting from basic principles of number representation in computers, the book covers the representation of both integer and floating point numbers, and characters or text. It comprehensively explains the...
New York: New York University Press, 2017. — 266 p. The consequences of big data and algorithm-driven policing and its impact on law enforcement In a high-tech command center in downtown Los Angeles, a digital map lights up with 911 calls, television monitors track breaking news stories, surveillance cameras sweep the streets, and rows of networked computers link analysts and...
Microsoft Press, 2015. — 592 p. — ISBN: 978-0735698352. This comprehensive and authoritative guide will teach you the DAX language for business intelligence, data modeling, and analytics. Leading Microsoft BI consultants Marco Russo and Alberto Ferrari help you master everything from table functions through advanced code and model optimization. You’ll learn exactly what happens...
Microsoft Press, 2015. — 592 p. — ISBN: 978-0735698352. This comprehensive and authoritative guide will teach you the DAX language for business intelligence, data modeling, and analytics. Leading Microsoft BI consultants Marco Russo and Alberto Ferrari help you master everything from table functions through advanced code and model optimization. You’ll learn exactly what happens...
Springer, 2023. — 197 p. — ISBN: 978-3-031-23343-2. This book explores the most recent Edge and Distributed Cloud computing research and industrial advances, settling the basis for Advanced Swarm Computing developments. It features the Swarm computing concepts and realizes it as an Ad-hoc Edge Cloud architecture. Unlike current techniques in Edge and Cloud computing that solely...
Kluwer Academic Publishers, 1987. — 556 p. — ISBN: 978-1-4612-9186-2. The summer school on VLSf GAD Tools and Applications was held from July 21 through August 1, 1986, at Beatenberg in the beautiful Bernese Oberland in Switzerland. The meeting was given under the auspices of IFIP WG 10. 6 VLSI, and it was sponsored by the Swiss Federal Institute of Technology Zurich,...
Cambridge University Press, 2006, -498 p. A sample is not only a concept from statistics that has penetrated common sense but also a metaphor that has inspired much research and theorizing in current psychology. The sampling approach emphasizes the selectivity and biases inherent in the samples of information input with which judges and decision makers are fed. Because...
London: Palgrave Macmillan UK, 2014. — 248 p. — ISBN: 978-1-349-47868-2 This in-depth guide provides managers with a solid understanding of data and data trends, the opportunities that it can offer to businesses, and the dangers of these technologies. Written in an accessible style, Steven Finlay provides a contextual roadmap for developing solutions that deliver benefits to...
O’Reilly Media, 2017. — 168 p. — ISBN: 978-1-491-92846-2. You have a mound of data front of you and a suite of computation tools at your disposal. Which parts of the data actually matter? Where is the insight hiding? If you’re a data scientist trying to navigate the murky space between data and insight, this practical book shows you how to make sense of your data through...
O’Reilly, 2018. — 168 p. — ISBN: 978-1-491-92846-2 You have a mound of data front of you and a suite of computation tools at your disposal. Which parts of the data actually matter? Where is the insight hiding? If you’re a data scientist trying to navigate the murky space between data and insight, this practical book shows you how to make sense of your data through high-level...
O’Reilly, 2018. — 168 p. — ISBN: 978-1-491-92846-2. You have a mound of data front of you and a suite of computation tools at your disposal. Which parts of the data actually matter? Where is the insight hiding? If you’re a data scientist trying to navigate the murky space between data and insight, this practical book shows you how to make sense of your data through high-level...
John Wiley & Sons, Inc., 2020. — 290 p. — ISBN: 978‐1‐119‐69341‐3. Organizations can make data science a repeatable, predictable tool, which business professionals use to get more value from their data Enterprise data and AI projects are often scattershot, underbaked, siloed, and not adaptable to predictable business changes. As a result, the vast majority fail. These expensive...
Springer, 2016. — 321 p. — ISBN: 3319400207, 9783319400204 In the chapters in Part I of this textbook the author introduces the fundamental ideas of artificial intelligence and computational intelligence. In Part II he explains key AI methods such as search, evolutionary computing, logic-based reasoning, knowledge representation, rule-based systems, pattern recognition, neural...
Springer, 2018. — 269 p. — ISBN: 978-3-319-68992-0. This book contains practical steps business users can take to implement data management in a number of ways, including data governance, data architecture, master data management, business intelligence, and others. It defines data strategy, and covers chapters that illustrate how to align a data strategy with the business...
Wiley, 2021. — 304 p. — ISBN: 978-1119741756. Explore the most serious prevalent ethical issues in data science with this insightful new resource The increasing popularity of data science has resulted in numerous well-publicized cases of bias, injustice, and discrimination. The widespread deployment of “Black box” algorithms that are difficult or impossible to understand and...
Wiley, 2013. — 432 p. Data science gets thrown around in the press like it’s magic. Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. Seemingly meaningless data can be transformed into valuable insight to drive smart business decisions. And in Data Smart, MailChimp's Chief Scientist, John Foreman,...
Wiley, 2022. — 192 p. — ISBN13: 978-1119866169. Data Sanitization: A Complete Guide to Managing Data Erasure provides everything an organization needs to put in place a compliant program for data end-of-life, the ultimate protection for your data. There are many technical means for destroying data, some mechanical, some logical. This book will guide you in your decisions:...
Mercury Learning and Information, 2023. — 291 p. — ISBN: 978-1-68392675-7. With many recent advances in data science, we have many more tools and techniques available for data analysts to extract information from data sets. This book aims to assist data analysts to move up from simple tools such as Excel for descriptive analytics to answering more sophisticated questions using...
Springer, 2001. — 275 p. Since the invention of the transistor in the 1947, the semiconductor industry has passed from manufacture of a single component to that of a device, containing more than a billion transistors, integrated in a few square centimeters of silicon. In the last 25 years, there has been an annual reduction of 26 per cent in the price of a bit; nowadays, memory...
Cambridge: Cambridge University Press, 2022. — 339 p. This text provides deep and comprehensive coverage of the mathematical background for data science, including machine learning, optimal recovery, compressed sensing, optimization, and neural networks. In the past few decades, heuristic methods adopted by big tech companies have complemented existing scientific disciplines to...
CRC Press, 2016. — 639 p. — (Devices circuits and systems). — ISBN: 9781482263749 Multisensor Data Fusion: From Algorithms and Architectural Design to Applications covers the contemporary theory and practice of multisensor data fusion, from fundamental concepts to cutting-edge techniques drawn from a broad array of disciplines. Featuring contributions from the world’s leading...
Boca Raton: CRC Press, 2017. — 607 p. There has been an increasing interest in multi-disciplinary research on multisensor attitude estimation technology driven by its versatility and diverse areas of application, such as sensor networks, robotics, navigation, video, biomedicine, etc. Attitude estimation consists of the determination of rigid bodies’ orientation in 3D space....
Cham: Springer International Publishing, 2019. — 337 p. — ISBN: 978-3-030-04921-8. This book presents an overview of techniques for discovering high-utility patterns (patterns with a high importance) in data. It introduces the main types of high-utility patterns, as well as the theory and core algorithms for high-utility pattern mining, and describes recent advances,...
Cham: Springer International Publishing, 2019. — 337 p. — ISBN: 978-3-030-04921-8. This book presents an overview of techniques for discovering high-utility patterns (patterns with a high importance) in data. It introduces the main types of high-utility patterns, as well as the theory and core algorithms for high-utility pattern mining, and describes recent advances,...
Cambridge University Press, 2016. — 548 p. — ISBN: 978-1-107-12577-3. Network data are produced automatically by everyday interactions - social networks, power grids, and links between data sets are a few examples. Such data capture social and economic behavior in a form that can be analyzed using powerful computational tools. This book is a guide to both basic and advanced...
Springer, 2018. — 185 p. — ISBN: 978-3319729527. The quantity, diversity and availability of transport data is increasing rapidly, requiring new skills in the management and interrogation of data and databases. Recent years have seen a new wave of "big data", "Data Science", and "smart cities" changing the world, with the Harvard Business Review describing Data Science as the...
Springer, 2018. — 185 p. — ISBN: 978-3319729527. The quantity, diversity and availability of transport data is increasing rapidly, requiring new skills in the management and interrogation of data and databases. Recent years have seen a new wave of "big data", "Data Science", and "smart cities" changing the world, with the Harvard Business Review describing Data Science as the...
Amsterdam: Elsevier, 1994. — 365 p. — ISBN: 0-444-816593. Organizing knowledge is another way to contribute to its development. The value of such an attempt is in its capability for training, education and providing deepening insights. Separating the organization from the production of knowledge is arbitrary. Both are essential to the advancement of a field. How many times have...
MIT Press, 1998. — 204 p. A variety of problems in machine learning and digital communication deal with complex but structured natural or artificial systems. Natural patterns that we wish to automatically classify are a consequence of a hierarchical causal physical process. Learning about the world in which we live requires that we extract useful sensory features and abstract...
Chapman & Hall/CRC, 2011. — 417 p. ISBN: 1584886226, 978-1584886228, e-ISBN: 978-1420011289. Utility-Based Learning from Data provides a pedagogical, self-contained discussion of probability estimation methods via a coherent approach from the viewpoint of a decision maker who acts in an uncertain environment. This approach is motivated by the idea that probabilistic models are...
3rd edition. — SAGE Publications, 2019. — 345 p. — ISBN: 978-1-5264-5892-6. Now updated to cover the latest versions and featuring instructions for both Mac and Windows users, this book is still the go-to source of support for getting to grips with qualitative data analysis using ATLAS.ti.With over twenty years of experience using, developing, and teaching ATLAS.ti, Susanne...
CreateSpace Independent Publishing, 2015. — 256 p. — ISBN13: 978-1514750971. Is this you? Have you heard about the craze and buzz of data today, but don’t know what’s it’s all about, or what’s in it for you? Are you currently cash strapped and wish your situation was different. Do you constantly check your bank account every day, hoping you had a career that paid a little more?...
CreateSpace Independent Publishing, 2015. — 256 p. — ISBN13: 978-1514750971. Is this you? Have you heard about the craze and buzz of data today, but don’t know what’s it’s all about, or what’s in it for you? Are you currently cash strapped and wish your situation was different. Do you constantly check your bank account every day, hoping you had a career that paid a little more?...
CreateSpace Independent Publishing, 2015. — 256 p. — ISBN13: 978-1514750971. Is this you? Have you heard about the craze and buzz of data today, but don’t know what’s it’s all about, or what’s in it for you? Are you currently cash strapped and wish your situation was different. Do you constantly check your bank account every day, hoping you had a career that paid a little more?...
Cengage, 2022. - 418 p. - ISBN: 035763134X DATA VISUALIZATION: Exploring and Explaining with Data is designed to introduce best practices in data visualization to undergraduate and graduate students. This is one of the first books on data visualization designed for college courses. The book contains material on effective design, choice of chart type, effective use of color, how...
New York: Morgan Kaufmann, 2016. — 275 p. The Data and Analytics Playbook: Proven Methods for Governed Data and Analytic Quality explores the way in which data continues to dominate budgets, along with the varying efforts made across a variety of business enablement projects, including applications, web and mobile computing, big data analytics, and traditional data integration....
Cham: Springer, 2017. — 229 p. — (Advanced Information and Knowledge Processing). — ISBN 978-3-319-60175-5. This book introduces the concepts and models of robust representation learning, and provides a set of solutions to deal with real-world data analytics tasks, such as clustering, classification, time series modeling, outlier detection, collaborative filtering, community...
InTech, 2011, -454 p. Data mining, a branch of computer science and artificial intelligence, is the process of extracting patterns from data. Data mining is seen as an increasingly important tool to transform a huge amount of data into a knowledge form giving an informational advantage. Reflecting this conceptualization, people consider data mining to be just one step in a...
Rijeka: InTech, 2011. — 596 p. — ISBN: 978-953-307-547-1. Data mining, a branch of computer science and artificial intelligence, is the process of extracting patterns from data. Data mining is seen as an increasingly important tool to transform a huge amount of data into a knowledge form giving an informational advantage. Reflecting this conceptualization, people consider data...
Springer, 2010. — 397 p. — ISBN: 978-3642027871, e-ISBN: 978-3642027888. With the evolution in data storage, large databases have stimulated researchers from many areas, especially machine learning and statistics, to adopt and develop new techniques for data analysis in different fields of science. In particular, there have been notable successes in the use of statistical,...
Springer, 2013 2014. — 112 p. — ISBN: 9783319027104 — Series: Studies in Big Data, Vol. 2 Owing to continuous advances in the computational power of handheld devices like smartphones and tablet computers, it has become possible to perform Big Data operations including modern data mining processes onboard these small devices. A decade of research has proved the feasibility of...
2nd Edition. — Springer Nature, 2024. — 145 p. — ISBN: 978-3-031-46865-0. This book provides an industry-oriented data analytics approach for process engineers, including data acquisition methods and sources, exploratory data analysis and sensitivity analysis, data-based modeling for prediction, data-based modeling for monitoring and control, and data-based optimization of...
Springer, 2017. — 88 p. — (SpringerBriefs in Computer Science). — ISBN10: 3319728881, 13 978-3319728889. This book provides a gentle introduction to redescription mining, a versatile data mining tool that is useful to find distinct common characterizations of the same objects and, vice versa, to identify sets of objects that admit multiple shared descriptions. It is intended...
Springer, 2017. — 109 p. — (SpringerBriefs in Computer Science). — ISBN10: 3319728881, 13 978-3319728889. This book provides a gentle introduction to redescription mining, a versatile data mining tool that is useful to find distinct common characterizations of the same objects and, vice versa, to identify sets of objects that admit multiple shared descriptions. It is intended...
Chapman & Hall/CRC Press, 2010. — 247 p. This book is the first book to didactically cover in a clear, comprehensive and mathematically rigorous way the main machine learning related aspects of this relevant research field. The book not only presents the main fundamentals important to fully understand data streams, but also describes important applications. The book also...
Chapman & Hall/CRC, 2011. - 497 p. Language: English Data clustering is a highly interdisciplinary field, the goal of which is to divide a set of objects into homogeneous groups such that objects in the same group are similar and objects in different groups are quite distinct. Thousands of theoretical papers and a number of books on data clustering have been published over the...
Society for Industrial and Applied Mathematics, 2007, -489 p. Cluster analysis is an unsupervised process that divides a set of objects into homogeneous groups. There have been many clustering algorithms scattered in publications in very diversified areas such as pattern recognition, artificial intelligence, information technology, image processing, biology, psychology, and...
Springer 2022. — 124 p. — (EAI/Springer Innovations in Communication and Computing). — ISBN: 978-3-030-78302-0. This book discusses recent research and applications about intelligent processing practices and tools for e-commerce data, information, and knowledge. The authors first explain how advances in the intelligent processing of data, information, and knowledge that has...
Springer, 2015. — 320 p. — ISBN: 9783319102467, 9783319102474 Data Preprocessing for Data Mining addresses one of the most important issues within the well-known Knowledge Discovery from Data process. Data directly taken from the source will likely have inconsistencies, errors or most importantly, it is not ready to be considered for a data mining process. Furthermore, the...
Cham: Springer, 2022. — 421 p. Nowadays, data analysis is becoming an appealing topic due to the emergence of new data types, dimensions, and sources. This motivates the development of probabilistic/statistical approaches and tools to cope with these data. Different communities of experts, namely statisticians, mathematicians, computer scientists, engineers, econometricians,...
Apple Academic Press/CRC Press, 2022. — 272 p. — ISBN: 978-1771889681. In the current competitive and technology-driven world, Artificial Intelligence (AI) has emerged as growing technology that applies to many fields. As transactions and other business functions move online and grow more popular every year, the finance and banking industries face increasingly complex data...
Routledge, 2024. — 270 p. — ISBN-13: 978-1032372631. We are drowning in data but are starved for knowledge. Data Analytics is the discipline of extracting actionable insights by structuring, processing, analyzing, and visualizing data using methods and software tools. Hence, we gain knowledge by understanding the data. A roadmap to achieve this is encapsulated in the knowledge...
Routledge, 2022. — 705 p. — ISBN: 978-0-367-62427-9. Data Analytics for the Social Sciences is an introductory, graduate-level treatment of data analytics for social science. It features applications in the R language, arguably the fastest-growing and leading statistical tool for researchers. The book starts with an ethics chapter on the uses and potential abuses of data...
World Scientific, 2008. — 216 p. Real-world machine learning problems, however, are often such that the objects that we want to learn about have no natural representation in attribute-value form. An example of such a problem is to estimate the activity of chemical compounds against an illness. In this application one very natural representation of such chemical compounds is...
O'Reily Media Inc., 2017. — 87 p. The Role of a Modern Data Warehouse in the Age of AI. Framing Data Processing with ML and AI. The Data Warehouse Has Changed The Path to the Cloud Historical Data Building Real-Time Data Pipelines Combining Real Time with Machine Learning Building the Ideal Stack for Machine Learning.
Singapore: Springer, 2022. — 268 p. This book provides a practical and fairly comprehensive review of Data Science through the lens of dimensionality reduction, as well as hands-on techniques to tackle problems with data collected in the real world. State-of-the-art results and solutions from statistics, computer science, and mathematics are explained from the point of view of...
Springer, 2019. — 302 p. — (Association forWomen in Mathematics Series 17). — ISBN: 978-3-030-11565-4. This edited volume on data science features a variety of research ranging from theoretical to applied and computational topics. Aiming to establish the important connection between mathematics and data science, this book addresses cutting edge problems in predictive modeling,...
Springer, 2019. — 302 p. — (Association forWomen in Mathematics Series 17). — ISBN: 978-3-030-11565-4. This edited volume on data science features a variety of research ranging from theoretical to applied and computational topics. Aiming to establish the important connection between mathematics and data science, this book addresses cutting edge problems in predictive modeling,...
Springer, 1996. — 471 p. The subject of this book is the incorporation and integration of mathematical and statistical techniques and information science topics into the field of classification, data analysis, and knowledge organization. Readers will find survey papers as well as research papers and reports on newest results. The papers are a combination of theoretical issues...
Cambridge: Cambridge University Press, 2014. — 357 p. Knowledge representation and reasoning is the foundation of artificial intelligence, declarative programming, and the design of knowledge-intensive software systems capable of performing intelligent tasks. Using logical and probabilistic formalisms based on answer set programming (ASP) and action languages, this book shows...
Cambridge: Cambridge University Press, 2006. — 648 p. — (Analytical Methods for Social Research). — ISBN: 978-0-511-26878-6. Data Analysis Using Regression and Multilevel/Hierarchical Models is a comprehensive manual for the applied researcher who wants to perform data analysis using linear and nonlinear regression and multilevel models. The book introduces a wide variety of...
Series: Synthesis Lectures on Artificial Intelligence and Machine Learning. — Morgan and Claypool Publishers, 2010. — 98 p. ISBN: 978-1598297416, e-ISBN: 978-1598297423. Data integration is a critical problem in our increasingly interconnected but inevitably heterogeneous world. There are numerous data sources available in organizational databases and on public information...
Wiley, 2014. — 717 p. — ISBN: 1118436636, 9781118436639 Data Center Handbook provides the fundamentals, technologies, and best practices in designing, constructing and managing mission critical, energy efficient data centers. The most comprehensive single source guide ever published in this field, with 36 chapters and over 350 illustrations written by 50 world class authors...
2nd edition. — Wiley, 2021. — 755 p. — ISBN: 978-1119597506. Written by 59 experts and reviewed by a seasoned technical advisory board, the Data Center Handbook is a thoroughly revised, one-stop resource that clearly explains the fundamentals, advanced technologies, and best practices used in planning, designing, building and operating a mission-critical, energy-efficient,...
CRC Press, 2025. — 263 p. — ISBN: 978-1-032-61025-2. This book presents up-to-date research developments and novel methodologies on multi-sensor filtering fusion (MSFF) for a class of complex systems subject to censored data under a constrained network environment. The contents of this book are divided into two parts covering centralized and distributed MSFF design...
Springer, 2013. — 359 p. Dealing with large amounts of data and reasoning in real time are some of the challenges that our everyday life poses to us. The answer to these questions can be given by advanced methods in signal processing and data mining which is the scope of this book. The book presents theoretical and application achievements on some of the most efficient...
Massachusetts Institute of Technology, Adaptive Computation and Machine Learning series, 2007. — 608 p. — ISBN: 0262072882, 978-0262072885. Handling inherent uncertainty and exploiting compositional structure are fundamental to understanding and designing large-scale systems. Statistical relational learning builds on ideas from probability theory and statistics to address...
Springer, 2023. — 617p. — ISBN: 978-3-031-10601-9. Dimensionality reduction, also known as Manifold Learning, is an area of Machine Learning used for extracting informative features from data for better representation of data or separation between classes. With the explosion of interest and advances in Machine Learning (ML), there has been a corresponding increased need for...
Boca Raton: CRC Press, 2025. — 197 p. This book comprehensively discusses basic data-driven intelligent systems, the methods for processing the data, and cloud computing with Artificial Intelligence (AI). It presents fundamental and advanced techniques used for handling large user data and for the data stored in the cloud. It further covers data-driven decision-making for smart...
Springer Science & Business Media, 2005. — 266 p. Data mining (DM) consists of extracting interesting knowledge from re- world, large & complex data sets; and is the core step of a broader process, called the knowledge discovery from databases (KDD) process. In addition to the DM step, which actually extracts knowledge from data, the KDD process includes several preprocessing...
InTech, 2008, -332 p. Data mining is the research area involving powerful processes and tools that allow an effective analysis and exploration of usually large amounts of data. In particular, data mining techniques have found application in numerous different scientific fields with the aim of discovering previously unknown patterns and correlations, as well as predicting trends...
New York: Apress, 2021. — 239 p. From deepfakes to GPT-3, deep learning is now powering a new assault on our ability to tell what’s real and what’s not, bringing a whole new algorithmic side to fake news. On the other hand, remarkable methods are being developed to help automate fact-checking and the detection of fake news and doctored media. Success in the modern business...
Packt Publishing, 2024. — 246 p. Key Features: Learn how to work with real-time data using Delta Live Tables. Unlock insights into the performance of data pipelines using Delta Live Tables. Apply your knowledge to the Unity Catalog for robust data security and governance. Book Description: With so many tools to choose from in today’s data engineering development stack, as well...
The MIT Press, 2013. — 196 p. We live in the era of Big Data, with storage and transmission capacity measured not just in terabytes but in petabytes (where peta- denotes a quadrillion, or a thousand trillion). Data collection is constant and even insidious, with every click and every "like" stored somewhere for something. This book reminds us that data is anything but "raw,"...
2nd Edition. — Wiley, 2009. — 249 p. — ISBN: 0470058870, 978-0470058879. The increasing availability of data in our current, information overloaded society has led to the need for valid tools for its modeling and analysis. Data mining and applied statistical methods are the appropriate tools to extract knowledge from such data. This book provides an accessible introduction to...
Giudici, Paolo - Applied Data Mining, Statistical Methods for Business and Industry, John Wiley & Sons Ltd, -373 p. Statistical data mining Uncertainty measures and inference Probability Statistical models Statistical inference Non-parametric modeling The normal linear model Main inferential results Application Generalised linear models The exponential family Definition of...
Springer, 2013. — 290 p. 85 illus., 49 illus. in color — ISBN: 3642288936, 9783642288944 This volume contains both methodological papers showing new original methods, and papers on applications illustrating how new domain-specific knowledge can be made available from data by clever use of data analysis methods. The volume is subdivided in three parts: Classification and Data...
Springer, 2014. — 290 p. — ISBN: 1461492416 This edited book collects state-of-the-art research related to large-scale data analytics that has been accomplished over the last few years. This is among the first books devoted to this important area based on contributions from diverse scientific areas such as databases, data mining, supercomputing, hardware architecture, data...
Springer – 2010, 158 p. ISBN: 1441965688, 9781441965691 Privacy and security risks arising from the application of different data mining techniques to large institutional data repositories have been solely investigated by a new research domain, the so-called privacy preserving data mining. Association rule hiding is a new technique on data mining, which studies the problem of...
Kluwer, 1998. — 402 p. This book explores the meta-heuristic approach called tabu search, which is dramatically changing our ability to solve problems of practical significance. In recent years, journals in a wide variety of fields have published tutorial articles, computational studies and applications documenting successes by tabu search in extending the frontier of problems...
Wiley, 2009. — 295 p. — ISBN: 978-0-470-02762-2. The present book attempts the tricky task of combining the breadth of vision of multiple authors with the coherence of a single integrated work. The richness of the field is apparent in the range of chapters: from formal mathematical modeling to user context, from parallel computation to semantic search. The topics covered also...
ITexLi, 2018. — 149 p. — ISBN: 1789843952 9781789843958 1838813543 9781838813543. In this limited volume, authors try to cover as many different and multidisciplinary fields in statistics as possible and aim to present recent developments and applications of statistical analysis. Since data grows faster than ever, the role of statistics becomes more and more crucial nowadays,...
NOWPress, 2009. — 96 p. — (Foundations and Trends in Machine Learning). Networks are ubiquitous in science and have become a focal point for discussion in everyday life. Formal statistical models for the analysis of network data have emerged as a major topic of interest in diverse areas of study, and most of these involve a form of graphical representation. Probability models...
2nd edition. — Wiley, 2024. — 445 p. — ISBN: 9781119931386. In the newly revised second edition of Data Smart: Using Data Science to Transform Information into Insight, accomplished data scientist and speaker Jordan Goldmeier delivers an approachable and conversational approach to data science using Microsoft Excel’s easily understood features. The author also walks readers...
2nd Edition. — John Wiley & Sons Australia, Ltd., 2024. — 448 p. — ISBN: 978-1-119-93139-3. A straightforward and engaging approach to data science that skips the jargon and focuses on the essentials. In the newly revised second edition of Data Smart: Using Data Science to Transform Information into Insight, accomplished data scientist and speaker Jordan Goldmeier delivers an...
IGI Global, 2008, -371 p. The existence of large volumes of globally distributed information and the availability of various computing devices, many of which are mobile, present the possibility of anywhere-anytime access to information. This enables individuals and organizations to coordinate and improve their knowledge over various autonomous locations. However, the amount and...
True PDF Morgan Kaufmann, 2018. — 569 p. — ISBN: 9780081006597. This book provides readers with a refreshing look at the basic models and algorithms of machine learning, with an emphasis on current topics of interest that includes neural networks and kernel machines. The book presents the information in a truly unified manner that is based on the notion of learning from...
Springer, 2011, -370 p. Data Mining represents a complex of technologies that are rooted in many disciplines: mathematics, statistics, computer science, physics, engineering, biology, etc., and with diverse applications in a large variety of different domains: business, health care, science and engineering, etc. Basically, data mining can be seen as the science of exploring...
Chapman and Hall/CRC, 2021. — 346 p. — ISBN: 978-0367756826. Applied User Data Collection and Analysis Using JavaScript and PHP is designed to provide the technical skills and competency to gather a wide range of user data from web applications in both active and passive methods. This is done by providing the reader with real-world examples of how a variety of different...
John Wiley & Sons ; ISTE, 2009. — 327 p. — ISBN: 978-1-84821-098-1. Statistical analysis has traditionally been separated into two phases: an exploratory phase, drawing on a set of descriptive and graphical techniques, and a decisional phase, based on probabilistic models. Some of the tools employed as part of the exploratory phase belong to descriptive statistics, whose...
Springer, 2012. — 342 p. — ISBN: 978-1-4614-4017-8 ISBN: 978-1-4614-4018-5 (eBook) Missing data have long plagued those conducting applied research in the social, behavioral, and health sciences. Good missing data analysis solutions are available, but practical information about implementation of these solutions has been lacking. The objective of Missing Data: Analysis and...
CRC Press, 2020. — 559 p. — ISBN: 0367415429. Surrogates: a graduate textbook, or professional handbook, on topics at the interface between machine learning, spatial statistics, computer simulation, meta-modeling (i.e., emulation), design of experiments, and optimization. Experimentation through simulation, "human out-of-the-loop" statistical support (focusing on the science),...
Springer, 2015, -268 p. The authors start their book with basic question: Why is randomization beneficial in the context of algorithms? Or, say it another way: When random choice is better than deterministic one? This more general problem relates to a lot of situations beyond the mathematical framework. One can remember that random decisions were performed in ancient times, and...
CRC Press, 2018. — 248 p. — (ASA-CRC Series on Statistical Reasoning in Science and Society). — ISBN: 978-1138707603. This is the age of data. There are more innovations and more opportunities for interesting work with data than ever before, but there is also an overwhelming amount of quantitative information being published every day. Data visualisation has become big...
CRC Press, 2018. — 248 p. This is the age of data. There are more innovations and more opportunities for interesting work with data than ever before, but there is also an overwhelming amount of quantitative information being published every day. Data visualisation has become big business, because communication is the difference between success and failure, no matter how clever...
Mercury Learning & Information, 2020. - 206 p. - ISBN: 9781683925835 In the world of data science there are myriad tools available to analyze data. This book describes some of the popular software application tools along with the processes for downloading and using them in the most optimum fashion. The content includes data analysis using Microsoft Excel, KNIME, R, and...
Morgan & Claypool, 2010, -141 p. We are poised at a major turning point in the history of information management via computers. Recent evolutions in computing, communications, and commerce are fundamentally reshaping the ways in which we humans interact with information, and generating enormous volumes of electronic data along the way. As a result of these forces, what will...
New York: Springer, 2019. — 200 p. This book of peer-reviewed contributions presents the latest findings in classification, statistical learning, data analysis and related areas, including supervised and unsupervised classification, clustering, statistical analysis of mixed-type data, big data analysis, statistical modeling, graphical models and social networks. It covers both...
Apress Media LLC, 2024. — 225 p. — ISBN-13: 978-1-4842-9965-4. In today’s fast-paced digital landscape, organizations face an ever-increasing volume of data that holds immense potential for driving business success. However, many businesses struggle to harness this potential due to a lack of understanding and effective utilization of data within their culture. This book is a...
Apress Media LLC, 2024. — 225 p. — ISBN-13: 978-1-4842-9965-4. In today’s fast-paced digital landscape, organizations face an ever-increasing volume of data that holds immense potential for driving business success. However, many businesses struggle to harness this potential due to a lack of understanding and effective utilization of data within their culture. This book is a...
New York: Springer, 2020. — 246 p. This book examines some of the underlying processes behind different forms of information management, including how we store information in our brains, the impact of new technologies such as computers and robots on our efficiency in storing information, and how information is stored in families and in society. The editors brought together...
2nd Edition. — Springer, 2014. — 344 p. — (The Kluwer International Series on Information Retrieval). — ISBN: 978-1-4020-3004-8. Interested in how an efficient search engine works? Want to know what algorithms are used to rank resulting documents in response to user requests? The authors answer these and other key information retrieval design and implementation questions. This...
Massachusetts Institute of Technology, Adaptive Computation and Machine Learning series, 2007. — 703 p. — ISBN: 0262072815, 978-0262072816. The minimum description length (MDL) principle is a powerful method of inductive inference, the basis of statistical modeling, pattern recognition, and machine learning. It holds that the best explanation, given a limited set of observed...
Springer, 2022. — 170 p. The gathering and storage of data indexed in space and time are experiencing unprecedented growth, demanding advanced and adapted tools to analyze them. This thesis deals with the exploration and modeling of complex high-frequency and non-stationary spatio-temporal data. It proposes an efficient framework in modeling with machine learning algorithms...
New York: Springer, 2007. — 313 p. — ISBN: 3-540-44911-6. Data mining analyzes large amounts of data to discover knowledge relevant to decision making. Typically, numerous pieces of knowledge are extracted by a data mining system and presented to a human user, who may be a decision-maker or a data-analyst. The user is confronted with the task of selecting the pieces of...
Apress Media, LLC, 2025. — 549 p. — ISBN-13: 979-8-8688-1182-1. Ensuring data usability is paramount to unlocking a company’s full potential and driving informed decision-making. Part of author Saurav Bhattacharya’s trilogy that covers the essential pillars of digital ecosystems — security, reliability, and usability — this book offers a comprehensive exploration of the...
Apress Media, LLC, 2025. — 549 p. — ISBN-13: 979-8-8688-1183-8. Ensuring data usability is paramount to unlocking a company’s full potential and driving informed decision-making. Part of author Saurav Bhattacharya’s trilogy that covers the essential pillars of digital ecosystems — security, reliability, and usability — this book offers a comprehensive exploration of the...
Cambridge: Cambridge University Press, 2022. — 231 p. Discover this multi-disciplinary and insightful work, which integrates machine learning, edge computing, and big data. Presents the basics of training machine learning models, key challenges and issues, as well as comprehensive techniques including edge learning algorithms, and system design issues. Describes architectures,...
Special issue on Scaling Data Mining Algorithms, Applications, and Systems to Massive Data Sets by Applying High Performance Computing Technology Guest Editors: Yike Guo, Robert Grossman This issue contains four papers. They cover important classes of data mining algorithms: classification, clustering, association rule discovery, and learning Bayesian networks. The paper by...
CRC Press, 2018. — 419 p. — ISBN: 1138744387. Feature engineering plays a vital role in big data analytics. Machine learning and data mining algorithms cannot work without data. Little can be achieved if there are few features to represent the underlying data objects, and the quality of results of those algorithms largely depends on the quality of the available features....
Morgan & Claypool, 2011, -143 p. With the proliferation of citizen reporting, smart mobile devices, and social media, an increasing number of people are beginning generate information about events they observe and participate in. A significant fraction of this information contain multimedia data to share the experience with their audience. A systematic information modeling and...
Wiley, 2020. — 418 p. — (Intelligent Signal and Data Processing). — ISBN: 978-1-119-54446-3. This book focuses on methods and tools for intelligent data analysis, aimed at narrowing the increasing gap between data gathering and data comprehension, and emphasis will also be given to solving of problems which result from automated data collection, such as analysis of...
Springer Singapore, 2022. — 835 p. — (Lecture Notes in Electrical Engineering. Volume 888). — ISBN: 978-981-19-1520-8. This book covers the latest advancements in the areas of machine learning, computer vision, pattern recognition, computational learning theory, big data analytics, network intelligence, signal processing, and their applications in the real-world. The topics...
Singapore: Springer, 2022. — 165 p. This book presents a set of soft computing approaches and their application in data analytics, classification model, and control. The basics of fuzzy logic implementation for advanced hybrid fuzzy-driven optimization methods have been covered in the book. The various soft computing techniques, including Fuzzy Logic, Rough Sets, Neutrosophic...
Packt Publishing, 2016. — 326 p. — ISBN: 9781784391409 Enterprise has been striving hard to deal with the challenges of data arriving in real time or near real time. Although there are technologies such as Storm and Spark (and many more) that solve the challenges of real-time data, using the appropriate technology/framework for the right business use case is the key to success....
Apress, 2014. — 348 p. — ISBN: 978-1430265986. Data Scientists at Work is a collection of interviews with sixteen of the world's most influential and innovative data scientists from across the spectrum of this hot new profession. "Data scientist is the sexiest job in the 21st century," according to the Harvard Business Review. By 2018, the United States will experience a...
Bloomsbury Publishing, 2022. — 280 p. — ISBN: 978-1-350-13325-9. For many outsides of the scientific community, big data and the forms it takes, such as statistical lists, spreadsheets, and graphs, often seem abstract and unintelligible. This book investigates how digital fabrication and traditional making approaches are being used to present data in newly engaging and...
2nd Edition. — De Gruyter, 2023. — 222 p. This is an introductory course on loss data analysis. By that, we mean the determination of the density of the probability of cumulative losses. Even though the main motivations come from applications to the insurance, banking, and financial industries, the mathematical problem that we shall deal with appears in many applications in...
De Gruyter, 2018. — 211 p. — ISBN: 3110516047, 9783110516043. This volume deals with two complementary topics. On one hand the book deals with the problem of determining the the probability distribution of a positive compound random variable, a problem which appears in the banking and insurance industries, in many areas of operational research and in reliability problems in the...
New York: Amazon.com Services LLC, 2020. — 113 p. In this guidebook, we are going to spend some time exploring the basics of data science, and how we can go through each of the steps to get this process to work for you. From exploring the raw data to data munging, data mining, data preprocessing, and data visualization, you will be able to get started on your own data analysis...
IBM Press, 2015. — 608 p. — ISBN: 0133991024, 9780133991024 Master Data Analytics Hands-On by Solving Fascinating Problems You’ll Actually Enjoy! Harvard Business Review recently called data science “The Sexiest Job of the 21st Century.” It’s not just sexy: For millions of managers, analysts, and students who need to solve real business problems, it’s indispensable....
Routledge, 2023. — 179 p. — ISBN: 978-0-367-28148-9. Interest in applying analytics, Machine Learning (ML), and Artificial Intelligence (AI) to sales and marketing have grown dramatically, with no signs of slowing down. This book provides essential guidance to apply advanced analytics and data mining techniques to real-world business applications. The foundation of this text is...
Springer International Publishing, 2019. — 354 p. This book collects the contributions presented at AGOP 2019, the 10th International Summer School on Aggregation Operators, which took place in Olomouc (Czech Republic) in July 2019. It includes contributions on topics ranging from the theory and foundations of aggregation functions to their various applications. Aggregation...
Cham: Springer, 2022. — 153 p. This text highlights the difference between analytics and data science, using predictive analytic techniques to analyze different historical data, including aviation data and concrete data, interpreting the predictive models, and highlighting the steps to deploy the models and the steps ahead. The book combines the conceptual perspective and a...
Springer, 2012, -322 p. In the foreword of his seminal book on artificial intelligence and on problem solving by man and machine, Jean-Louis Laurière pointed out that one of the main goals of research was to understand how a system (man or machine) may learn, analyze knowledge, transpose and generalize it in order to face real situations and finally solve problems. Therefore,...
Springer, 2016. — 142 p. The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for...
Springer, 2016. — 194 p. This, the 25th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains five fully revised selected papers focusing on data and knowledge management systems. Topics covered include a framework consisting of two heuristics with slightly different characteristics to compute the action rating of data stores, a theoretical and...
Springer, 2016. — 119 p. The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for...
Springer, 2016. — 220 p. This, the 27th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains extended and revised versions of 12 papers presented at the Big Data and Technology for Complex Urban Systems symposium, held in Kauai, HI, USA in January 2016. The papers explore the use of big data in complex urban systems in the areas of politics,...
Springer, 2016. — 140 p. This, the 30th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains six in-depth papers focusing on the subject of cloud computing. Topics covered within this context include cloud storage, model-driven development, informative modeling, and security-critical systems.
Springer, 2017. — 121 p. The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for...
Springer, 2017. — 194 p. The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for...
Springer, 2017. — 194 p. This volume, the 34th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, constitutes a special issue consisting of seven papers on the subject of Consistency and Inconsistency in Data-Centric Applications. The volume opens with an invited article on basic postulates for inconsistency measures. Three of the remaining six papers...
Springer, 2017. — 141 p. This volume, the 35th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains five fully-revised selected regular papers focusing on data quality, social-data artifacts, data privacy, predictive models, and e-health. Specifically, the five papers present and discuss a data-quality framework for the Estonian public sector; a...
Springer, 2015. — 169 p. The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for...
Palgrave Macmillan, 2023. — 441 p. — (Palgrave Advances in the Economics of Innovation and Technology). — ISBN: 978-3-031-35878-4. This book is a comprehensive guide that explores the intersection of Artificial Intelligence (AI) and forecasting, providing the latest insights and trends in this rapidly evolving field. The evolution of forecasting methodology exhibits similar...
Palgrave Macmillan, 2023. — 441 p. This book is a comprehensive guide that explores the intersection of Artificial Intelligence (AI) and forecasting, providing the latest insights and trends in this rapidly evolving field. The evolution of forecasting methodology exhibits similar surges interspersed with periods of calm or occasional retreats. However, unlike the ocean, the...
Academic Press, 2001. — 550 p. This book explores the concepts and techniques of data mining, a promising and ourishing frontier in database systems and new database applications. Data mining, also popularly referred to as knowledge discovery in databases (KDD), is the automated or convenient extraction of patterns representing knowledge implicitly stored in large databases,...
Academic Press, 2001. — 550 p. This book explores the concepts and techniques of data mining, a promising and ourishing frontier in database systems and new database applications. Data mining, also popularly referred to as knowledge discovery in databases (KDD), is the automated or convenient extraction of patterns representing knowledge implicitly stored in large databases,...
Second Edition. — Morgan Kaufmann, 2006. — 743 p. This book explores the concepts and techniques of data mining, a promising and ourishing frontier in database systems and new database applications. Data mining, also popularly referred to as knowledge discovery in databases (KDD), is the automated or convenient extraction of patterns representing knowledge implicitly stored in...
Morgan Kaufmann, 2011. - 703 p. - ISBN: 0123814790 (Third Edition) Since the previous edition’s publication, great advances have been made in the field of data mining. Not only does the third of edition of Data Mining: Concepts and Techniques continue the tradition of equipping you with an understanding and application of the theory and practice of discovering patterns hidden...
4th Edition. — Morgan Kaufmann, 2023. — 752 c. — ISBN: 978-0-12-811760-6. Data Mining: Concepts and Techniques, Fourth Edition provides the theories and methods for processing gathered data or information to be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data, known as KDD. It focuses on the...
NY: Auerbach Publications, CRC Press, 2011. — 304 p. — ISBN: 978-1-4398-6837-9. Used by corporations, industry, and government to inform and fuel everything from focused advertising to homeland security, data mining can be a very useful tool across a wide range of applications. Unfortunately, most books on the subject are designed for the computer scientist and statistical...
Cambridge: The MIT Press, 2001. — 546 p. — ISBN: 026208290X. The rapid growth and integration of databases provides scientists, engineers, and business people with a vast new resource that can be analyzed to make scientific discoveries, optimize industrial systems, and uncover financially valuable patterns. To undertake these large data analysis projects, researchers and...
Leanpub, 2022. — 196 p. Learn about the 10 percent of things that make 90 percent of impact in your Machine Learning projects. In this book, I have tried to address the most common issues that can change the outcome of a Machine Learning project: feature engineering, feature selection, and model explanation. The interplay between these 3 methods. I have been teaching Data...
Packt Publishing, 2015. - 194 p. Natural Language Processing (NLP) is the field of artificial intelligence and computational linguistics that deals with the interactions between computers and human languages. With the instances of human-computer interaction increasing, it's becoming imperative for computers to comprehend all major natural languages. Natural Language Toolkit...
Boston: The MIT Press, 2019. — 386 p. How to create an Internet of Trusted Data in which insights from data can be extracted without collecting, holding, or revealing the underlying data. Trust in Digital Societies Towards an Internet of Trusted Data Core Identities for Future Transaction Systems Building a Data-Rich Society The New Deal on Data The Rise of Decentralized...
MIT Connection Science & Engineering, 2019. — 386 p. — ISBN13: 978-0262043212. How to create an Internet of Trusted Data in which insights from data can be extracted without collecting, holding, or revealing the underlying data. Trusted Data describes a data architecture that places humans and their societal values at the center of the discussion. By involving people from all...
2nd Edition. — Springer International Publishing, Switzerland, 2016. — 245 p. — ISBN: 3319416421 This new edition offers a comprehensive introduction to the analysis of data using Bayes rule. It generalizes Gaussian error intervals to situations in which the data follow distributions other than Gaussian. This is particularly useful when the observed parameter is barely above...
Hoboken: Wiley, 2016. — 296 p. A comprehensive compilation of new developments in data linkage methodology The increasing availability of large administrative databases has led to a dramatic rise in the use of data linkage, yet the standard texts on linkage are still those which describe the seminal work from the 1950-60s, with some updates. Linkage and analysis of data across...
Elsevier, 2021. — 322 p. — ISBN: 978-0-12-819365-5. This book tackles multivariate challenges in process monitoring by merging the advantages of univariate and traditional multivariate techniques to enhance their performance and widen their practical applicability. The book proceeds with merging the desirable properties of shallow learning approaches – such as a one-class...
Chapman and Hall/CRC, 2014. — 576 p. — ISBN: 9781466582415, 9781466582408 Linked Data Management presents techniques for querying and managing Linked Data that is available on today’s Web. The book shows how the abundance of Linked Data can serve as fertile ground for research and commercial applications. The text focuses on aspects of managing large-scale collections of Linked...
John Wiley, 1975. — 369 p. The origin of this book was the generai methodology lecture on clustering, given at the invitation of Dr. S. Greenhouse to the December 1970 meeting of the American Statistica] Association. The notes for the lecture were used in a seminar series at Yale in early 1971 and later for a number of seminars given on behalf of the Institute of Advanced...
Independently published, 2021. — 389 p. — ISBN: 9781783528646. Data is humanity’s most important new resource. It has the capacity to provide insight into every aspect of our lives, the planet and the universe at large; it changes not only what we know but also how we know it. Exploiting the value of data could improve our existence as much as – if not more than – previous...
BCS, The Chartered Institute for IT, 2024. — 507 p. Digital transformation and data projects are not new and yet, for many, they are a challenge. Driving Data Projects is a compelling guide that empowers data teams and professionals to navigate the complexities of data projects, fostering a more data-informed culture within their organizations. With practical insights and...
MechatronicsLAB, 2025. — 240 p. — ASIN B0DY1KCCYM. "Hands-On Python Seaborn: A Practical Guide to Data Visualization" is your essential guide to mastering data visualization with Seaborn, one of the most powerful and user-friendly Python libraries for creating stunning plots. This book is perfect for data scientists, analysts, and Python developers who want to learn how to...
Springer, 2018. — 502 p. — (Studies in Big Data 33). — ISBN: 9783319636382, 9783319636399. This book highlights practical quantum key distribution systems and research on the implementations of next-generation quantum communication, as well as photonic quantum device technologies. It discusses how the advances in quantum computing and quantum physics have allowed the building,...
University of California at Berkeley, 2016. — 361 p. The Lasso for Linear Models. Generalized Linear Models. Generalizations of the Lasso Penalty. Optimization Methods. Statistical Inference. Matrix Decompositions, Approximations, and Completion. Sparse Multivariate Methods. Graphs and Model Selection. Signal Approximation and Compressed Sensing. Theoretical Results for the...
CRC Press, 2015. — 367 p. — ISBN: 1498712169, 9781498712163. Discover New Methods for Dealing with High-Dimensional Data. A sparse statistical model has only a small number of nonzero parameters or weights therefore, it is much easier to estimate and interpret than a dense model. Statistical Learning with Sparsity: The Lasso and Generalizations presents methods that exploit...
CRC Press, 2024. — 344 p. — ISBN: 9781032799520. Would you like to know how you can benefit from generative artificial intelligence (AI)? Then this book will be of great help to you. It shows you how AI can make your life easier, and it will teach you what added value the current application scenarios of ChatGPT, Midjourney, and various other AI tools offer and where their...
Springer, 2007. — 230 p. — ISBN13: 978-3-540-70822-3. Enabling insight into large and complex datasets is a prevalent theme in visualization research for which different approaches are pursued. Topology-based methods are built on the idea of abstracting characteristic structures such as the topological skeleton from the data and to construct the visualizations accordingly....
By Andy Hayes, 2016. – 147 p. The book is an unstructured data mining quest, which takes the reader through different features of unstructured data mining while unfolding the practical facets of Big Data. It emphasizes more on machine learning and mining methods required for processing and decision-making. The text begins with the introduction to the subject and explores the...
By Andy Hayes, 2016. — 147 p. The book is an unstructured data mining quest, which takes the reader through different features of unstructured data mining while unfolding the practical facets of Big Data. It emphasizes more on machine learning and mining methods required for processing and decision-making. The text begins with the introduction to the subject and explores the...
Wiley-IEEE Press, 2013. — 216 p. — ISBN: 1118074629, 978-1118074626. The first book of its kind to review the current status and future direction of the exciting new branch of machine learning/data mining called imbalanced learning . Imbalanced learning focuses on how an intelligent system can learn when it is provided with imbalanced data. Solving imbalanced learning problems...
CRC Press, 2022. — 495 p. — ISBN: 9781032136899. Multiple Imputation of Missing Data in Practice: Basic Theory and Analysis Strategies provide a comprehensive introduction to the multiple imputation approach to missing data problems that are often encountered in data analysis. Over the past 40 years or so, multiple imputations have gone through rapid development in both...
Spreinger, 2008. — 194 p. — (Mathematics and Visualization). — ISBN: 978-3-540-88605-1. Visualization research aims to provide insight into large, complicated data sets and the phenomena behind them. While there are different methods of reaching this goal, topological methods stand out for their solid mathematical foundation, which guides the algorithmic analysis and its...
D. Jude Hemanth, Brij B. Gupta, Mohamed Elhoseny, Swati Vijay Shinde. — Academic Press/Elsevier, 2023. — 399 p. — ISBN: 978-0-323-99412-5. Intelligent Edge Computing for Cyber-Physical Applications introduces state-of-the-art research methodologies, tools and techniques, challenges, and solutions with further research opportunities in the area of edge-based cyber-physical...
MIT Press, 2001. — 371 p. Machine learning has witnessed a resurgence of interest over the last few years, which is a consequence of the rapid development of the information industry. Data is no longer a scarce resource — it is abundant. Methods for "intelligent" data analysis to extract relevant information are needed. The goal of this book is to give a self-contained overview...
MIT Press, 2001. — 371 p. Machine learning has witnessed a resurgence of interest over the last few years, which is a consequence of the rapid development of the information industry. Data is no longer a scarce resource — it is abundant. Methods for "intelligent" data analysis to extract relevant information are needed. The goal of this book is to give a self-contained overview...
Cybellium Ltd, 2023-09-25. — 324 p. — ASIN: B0CJVWDM27. Unleash the Power of Insights from Data Are you ready to embark on a transformative journey into the world of data science? "Mastering Data Science" is your comprehensive guide to unlocking the full potential of data for extracting valuable insights and driving informed decisions. Whether you're an aspiring data scientist...
Springer, 2016. — 200 p. This book offers a comprehensive review of multilabel techniques widely used to classify and label texts, pictures, videos and music in the Internet. A deep review of the specialized literature on the field includes the available software needed to work with this kind of data. It provides the user with the software tools needed to deal with multilabel...
Amazon Digital Services, 2018. — 67 p. Do you want to know about Machine Learning even as a beginner?You have come to the right place. Machine learning is one of the hottest topics in this century - for good reasons. A neural network is often mentioned but covers only a small part of machine learning. There is much more to explore. There are a lot of interested people out there...
Chapman & Hall/CRC Press, 2006. — 522 p. Researchers in fields ranging from biology and medicine to the social sciences, law, and economics regularly encounter variables that are discrete or categorical in nature. While there is no dearth of books on the analysis and interpretation of such data, these generally focus on large sample methods. When sample sizes are not large or...
The MIT Press, 2023. — 325 p. — ISBN: 978-0262374156. Why healthcare cannot — and should not — become data-driven, despite the many promises of intensified data sourcing. In contemporary healthcare, everybody seems to want more data, of higher quality, on more people, and to use this data for a wider range of purposes. In theory, such pervasive data collection should lead to a...
Springer, 2010. — 180 p. Humans have been “manually” extracting patterns from data for centuries, but the increasing volume of data in modern times has called for more automatic approaches. Early methods of identifying patterns in data include Bayes’ theorem (1700s) and Regression analysis (1800s). The proliferation, ubiquity and increasing power of computer technology has...
De Gruyter, 2023. — 216 p. The book offers a hands-on guide for the scientific processing of data for the practitioner. It covers the range from "getting hands-on" experimental results to ensuring their use for addressing possible future questions unknown at the time of analysis. Code snippets are provided to adjust the proposed workstream to the specific needs of the reader.
Chapman and Hall/CRC, 2013. — 518 p. — (Chapman & Hall/CRC Data Mining and Knowledge Discovery). — ISBN: 9781482205503, 9781482205497 Powerful, Flexible Tools for a Data-Driven World As the data deluge continues in today’s world, the need to master data mining, predictive analytics, and business analytics has never been greater. These techniques and tools provide unprecedented...
Springer, 2012. — 380 p. — ISBN: 978-3-642-23150-6 There are many invaluable books available on data mining theory and applications. However, in compiling a volume titled DATA MINING: Foundations and Intelligent Paradigms: Volume 3: Medical, Health, Social, Biological and other Applications we wish to introduce some of the latest developments to a broad audience of both...
Springer, 2006. — 285 p. Machine learning is currently one of the most rapidly growing areas of research in computer science. In compiling this volume we have brought together contributions from some of the most prestigious researchers in this field. This book covers the three main learning systems; symbolic learning, neural networks and genetic algorithms as well as providing...
Swindon: BCS, The Chartered Institute for IT, 2020. — 148 p. Every week brings news of an organization that has distributed data that shouldn't have been shared or has lost out to a competitor who is using data to drive business innovatively. Data is fundamentally changing the nature of businesses and organizations and the mechanisms for delivering products and services. This...
Wiley, 2018. — 301 p. — ISBN: 9781119302827. A new approach to the issue of data quality in pattern recognition Detailing foundational concepts before introducing more complex methodologies and algorithms, this book is a self-contained manual for advanced data analysis and data mining. Top-down organization presents detailed applications only after methodological issues have...
World Scientific Publishing Co. Pte. Ltd. 2007. — 353 p. ISBN: 9812704612 Quantitative biomedical data analysis is a fast-growing interdisciplinary area of applied and computational mathematics, statistics, computer science, and biomedical science, leading to new fields such as bioinformatics, biomathematics, and biostatistics. In addition to traditional statistical techniques...
Springer, 2022. — 297 p. — (Studies in Big Data 113). — ISBN: 978-3-031-10868-6. This edited book covers ongoing research in both theory and practical applications of using deep learning for social media data. Social networking platforms are overwhelmed by different contents, and their huge amounts of data have enormous potential to influence business, politics, security,...
N.-Y.: draft edition, 2014. — 419 p. While traditional areas of computer science are still important and highly skilled individuals are needed in these areas, the majority of researchers will be involved with using computers to understand and make usable massive data arising in applications, not just how to make computers useful on speci c well-defi ned problems. With this in...
Wiley, 2023. — 240 p. — (Wiley and SAS Business series). — ISBN: 978-1119851431. Discover what does — and doesn’t — work when designing and building a data governance program. In A Practitioner’s Guide to Operationalizing Data Governance, veteran SAS and data management expert Mary Anne Hopper walks readers through the planning, design, operationalization, and maintenance of an...
Boca Raton: CRC Press, 2022. — 176 p. In what is certain to be a seminal work on metadata, John Horodyski masterfully affirms the value of metadata while providing practical examples of its role in our personal and professional lives. He does more than tell us that metadata matters--he vividly illustrates why it matters. --Patricia C. Franks, Ph.D., CA, CRM, IGP, CIGO, FAI,...
Viking, 2019. — 272 p. — ISBN: 0525560882. A Wharton professor and tech entrepreneur examines how algorithms and artificial intelligence are starting to run every aspect of our lives, and how we can shape the way they impact us Through the technology embedded in almost every major tech platform and every web-enabled device, algorithms and the artificial intelligence that...
Viking, 2019. — 272 p. — ISBN: 0525560882. A Wharton professor and tech entrepreneur examines how algorithms and artificial intelligence are starting to run every aspect of our lives, and how we can shape the way they impact us Through the technology embedded in almost every major tech platform and every web-enabled device, algorithms and the artificial intelligence that...
Viking, 2019. — 272 p. — ISBN: 0525560882. A Wharton professor and tech entrepreneur examines how algorithms and artificial intelligence are starting to run every aspect of our lives, and how we can shape the way they impact us Through the technology embedded in almost every major tech platform and every web-enabled device, algorithms and the artificial intelligence that...
Springer, 2021. — 373 p. — ISBN: 978-3-030-83499-9. This book is a result of a workshop, the 8th of the successful TopoInVis workshop series, held in 2019 in Nyköping, Sweden. The workshop regularly gathers some of the world’s leading experts in this field. Thereby, it provides a forum for discussions on the latest advances in the field with a focus on finding practical...
Springer, 2023. — 218 p. — (Texts in Computer Science). — ISBN: 3031190734. This textbook aims to point out the most important principles of data analysis from the mathematical point of view. Specifically, it selected these questions for exploring: Which are the principles necessary to understand the implications of an application, and which are necessary to understand the...
Cambridge University Press, 2023. — 649 p. — ISBN: 978-1-107-06555-0. Statistical and Machine Learning methods have many applications in the environmental sciences, including prediction and data analysis in meteorology, hydrology, and oceanography; pattern recognition for satellite images from remote sensing; management of agriculture and forests; assessment of climate change;...
Springer, 2008. — 241 p. Knowledge processing with interval methods has intrinsic merit. First, qualitative properties are often presented as ranges of data attributes rather than specific points. For example, one’s blood pressure is normal if within the normal range (i. e. normal interval). By grouping attribute values into meaningful intervals, we can omit insignificant...
Morgan & Claypool, 2019. — 208 p. — (Synthesis Lectures on Data Management 61). — ISBN: 9781681735955. Communities serve as basic structural building blocks for understanding the organization of many real-world networks, including social, biological, collaboration, and communication networks. Recently, community search over graphs has attracted significantly increasing...
The MIT Press, 2023. — 336 p. A comprehensive and cutting-edge introduction to quantitative methods of causal analysis, including new trends in machine learning. Reasoning about cause and effect — the consequence of doing one thing versus another — is an integral part of our lives as human beings. In an increasingly digital and data-driven economy, the importance of...
Wiley – 2011, 235 p. ISBN: 1118010647, 9781118010648 This book explores the many provocative questions concerning the fundamentals of data analysis. It is based on the time-tested experience of one of the gurus of the subject matter. Why should one study data analysis? How should it be taught? What techniques work best, and for whom? How valid are the results? How much data...
Boca Raton: CRC Press, 2023. — 403 p. This book aims to increase the visibility of data science in real-world, which differs from what you learn from a typical textbook. Many aspects of day-to-day data science work are almost absent from conventional statistics, machine learning, and data science curricula. Yet these activities account for a considerable share of the time and...
Dordrecht: Springer. − 2007. – 382 p. In the last three decades, important trends of research in artificial intelligence have been devoted to the design and the study of inference systems that exhibit humanlike reasoning capabilities, with special emphasis on tolerance toward incomplete information and uncertainty. This program, which can be also related to cognitive psychology...
Lora Oehlberg, Samuel Huron, Till Nagel, Wesley Willett. — A K Peters/CRC Press, 2022. — 392 p. — ISBN13: 978-1032182223. Making With Data: Physical Design and Craft in a Data-Driven World provides a snapshot of the practices used by contemporary designers, researchers, and artists who are creating objects, spaces, and experiences imbued with data. Creators of physical...
Lora Oehlberg, Samuel Huron, Till Nagel, Wesley Willett. — A K Peters/CRC Press, 2022. — 392 p. — ISBN13: 978-1032182223. Making With Data: Physical Design and Craft in a Data-Driven World provides a snapshot of the practices used by contemporary designers, researchers, and artists who are creating objects, spaces, and experiences imbued with data. Creators of physical...
Morgan & Claypool Publishers, 2023. — 131 p. Our society has entered a data-driven era, one in which not only are enormous amounts of data being generated daily but there are also growing expectations placed on the analysis of this data. Some data have become simply too large to be displayed and some have too short a lifespan to be handled properly with classical visualization...
Singapore: World Scientific Publishing Company, 2013. - 304 p. The need for optimal partition arises from many real-world problems involving the distribution of limited resources to many users. The "clustering" problem, which has recently received a lot of attention, is a special case of optimal partitioning. This book is the first attempt to collect all theoretical...
Alan R. Simon, Allen G. Taylor, Jack A. Hyman, John Paul Mueller, Jonathan Reichental, Joseph Schmuller, Lillian Pierson, Luca Massaron, Paul McFedries. — John Wiley & Sons, 2024. — 832 p. — (For Dummies). — ISBN-13: 978-1394244096. Install data analytics into your brain with this comprehensive introduction Data Analytics & Visualization All-in-One For Dummies collects the...
John Wiley & Sons, 2024. — 832 p. — (For Dummies). — ISBN-13: 978-1-394-24410-2. Install data analytics into your brain with this comprehensive introduction. Data Analytics & Visualization All-in-One For Dummies collects the essential information on mining, organizing, and communicating data, all in one place. Clocking in at around 850 p., this time of a reference delivers...
N.-Y.: Wiley-ISTE, 2015. — 88 p. A pragmatic approach to Big Data by taking the reader on a journey between Big Data (what it is) and the Smart Data (what it is for). Today’s decision making can be reached via information (related to the data), knowledge (related to people and processes), and timing (the capacity to decide, act and react at the right time). The huge increase in...
SAGE Publications, 2017. — 344 p. — ISBN: 978-1506337005. Students in social science courses communicate, socialize, shop, learn, and work online. When they are asked to collect data for course projects they are often drawn to social media platforms and other online sources of textual data. There are many software packages and programming languages available to help students...
Engineering Science Reference, 2018. — 410 p. — ISBN: 1522556494. Fog computing is rapidly expanding in its applications and capabilities through various parts of society. Utilizing different types of virtualization technologies can push this branch of computing to even greater heights. Fog Computing: Breakthroughs in Research and Practice contains a compendium of the latest...
Springer, 2011. — 609 p. — ISBN: 3642113621, 9783642113628, e-ISBN: 9783642113635 This volume provides recent research results in data analysis, classification and multivariate statistics and highlights perspectives for new scientific developments within these areas. Particular attention is devoted to methodological issues in clustering, statistical modeling and data mining....
Taylor Graham, 2002. — 256 p. — ISBN: 0-947568-54-9. Information retrieval covers the problems relating to the effective storage, access, and searching of information required by individuals. Currently, information is continuing to grow exponentially, diversifying into many forms and media. In this complex retrieval labyrinth there is a definite need for increased effort aimed...
Lawrence Erlbaum Associates, Taylor & Francis e-Library, 2008. — 317 p. — ISBN13: 9781410609991. James Inman explores the landscape of the contemporary computers and writing community. Six chapters engage critical issues, including redefining the community's generally accepted history, connecting its contemporary innovators with its long-standing spirit of innovation. Abstract:...
Elsevier, 2015. — 342 p. Today, the world is trying to create and educate data scientists because of the phenomenon of Big Data. And everyone is looking deeply into this technology. But no one is looking at the larger architectural picture of how Big Data needs to fit within the existing systems (data warehousing systems). Taking a look at the larger picture into which Big Data...
2nd ed. — Elseiver, 2019. — 633 p. — ISBN: 9780128169179. Over the past 5 years, the concept of big data has matured, data science has grown exponentially, and data architecture has become a standard part of organizational decision-making. Throughout all this change, the basic principles that shape the architecture of data have remained the same. There remains a need for people...
Technics Publications, 2017. — 256 p. — ISBN: 978-1634622424. This course defines data management, describes the functions of data managers, provides the business case for data management and introduces the student to concepts and tools used by data managers. Whether you are an actuary, a claims professional, business analyst, or almost any of the other key functions, knowledge...
Springer, 2003. — 302 p. After 20 years of pursuing rough set theory and its applications a look on its present state and further prospects is badly needed. The monograph Rough Set Theory and Granular Computing edited by Masahiro Inuiguchi, Shoji Hirano and Shusaku Tsumoto meets this demand. It presents the newest developments in this area and gives fair picture of the state of...
Springer, 2016. — 265. Machine learning is currently a vast area of research with applications in a broad range of fields such as computer vision, bioinformatics, information retrieval, natural language processing, audio processing, data mining, and many others. Among the variety of state-of-the-art machine learning approaches for such applications are the similarity-based...
Leanpub, 2019. — 722 p. The demand for skilled data science practitioners in industry, academia, and government is rapidly growing. This book introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression, and machine learning. It also helps you develop skills such as R...
CRC, 2019. — 258 p. - ISBN: 9780367357986 The demand for skilled data science practitioners in industry, academia, and government is rapidly growing. This book introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression and machine learning. It also helps you develop...
Chapman and Hall/CRC, 2019-11-08. — 713 p. — ISBN-13: 978-0-367-35798-6. Introduction to Data Science: Data Analysis and Prediction Algorithms with R introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression, and machine learning. It also helps you develop skills...
New York: Wiley-VCH, 2019. — 304 p. Provides everything readers need to know for applying the power of informatics to materials science There is a tremendous interest in materials informatics and application of data mining to materials science. This book is a one-stop guide to the latest advances in these emerging fields. Bridging the gap between materials science and...
Wiley, 2018. — 421 p. — ISBN: 9781119129752. Turn unstructured data into valuable business insight Unstructured Data Analytics provides an accessible, non-technical introduction to the analysis of unstructured data. Written by global experts in the analytics space, this book presents unstructured data analysis (UDA) concepts in a practical way, highlighting the broad scope of...
Springer, 2018. — 126 p. — ISBN: 978-3319755076. This thesis proposes machine learning methods for understanding scenes via behaviour analysis and online anomaly detection in video. The book introduces novel Bayesian topic models for detection of events that are different from typical activities and a novel framework for change point detection for identifying sudden behavioural...
Springer, 2018. — 126 p. — ISBN: 978-3319755076. This thesis proposes machine learning methods for understanding scenes via behaviour analysis and online anomaly detection in video. The book introduces novel Bayesian topic models for detection of events that are different from typical activities and a novel framework for change point detection for identifying sudden behavioural...
Ivezic Z., Connolly A.J., VanderPlas J.T., Gray A. Princeton University Press, 2014. — 559 p. — ISBN: 0691151687, 9780691151687 As telescopes, detectors, and computers grow ever more powerful, the volume of data at the disposal of astronomers and astrophysicists will enter the petabyte domain, providing accurate measurements for billions of celestial objects. This book provides...
New York: John Wiley & Sons, 2019. — 354 p. — (For Dummies (Computer/Tech)). — ISBN: 1119566258. All the answers to your data science questions! Over half of all businesses are using data science to generate insights and value from big data. How are they doing it? Data Science Strategy For Dummies answers all your questions about how to build a data science capability from...
Prentice Hall, 1988, -334 p. Cluster analysis is an importanllechnique in the rapidly growing field known as exploratory data analysis and is being applied in a variety of engineering and scientific disciplines such as biology, psychology. medicine, marketing, computer vision. and remote sensing. Cluster analysis organizes data by abstracting underlying structure either as a...
Rd Edition. — Independently published, 2022. — 557 p. This book will take you through basic to advanced data structures and algorithms. Data structures define how data is arranged in memory for fast and efficient access. An algorithm is a finite set of unambiguous instructions to solve problems by manipulating various data structures. Designing an efficient algorithm is a very...
Springer, 2015. — 330 p. — (Advanced Information and Knowledge Processing). — ISBN: 3319252305, 978331925230 This book explores an approach to social robotics based solely on autonomous unsupervised techniques and positions it within a structured exposition of related research in psychology, neuroscience, HRI, and data mining. The authors present an autonomous and developmental...
CRC Press, Taylor & Francis Group, LLC, 2020. — 163 p. — ISBN: 978-0-367-44313-9. This book is an attempt to establish in the readers the importance of creating interoperable data stores and writing rules for handling this data. It also covers extracts from a few project dissertations and a research-funded project that the author had supervised. Describes the power of...
Springer, 2002. — 459 p. — ISBN: 978-3-540-43691-1, e-ISBN: 978-3-642-56181-8. Series: Studies in Classification, Data Analysis, and Knowledge Organization. The book presents a long list of useful methods for classification, clustering and data analysis. By combining theoretical aspects with practical problems, it is designed for researchers as well as for applied statisticians...
Jones & Bartlett Learning, 2021. — 668 p. — ISBN: 1284180905. Data Mining and Analytics provide a broad and interactive overview of a rapidly growing field. The exponentially increasing rate at which data is generated creates a corresponding need for professionals who can effectively handle its storage, analysis, and translation. With a dual focus on concepts and operations,...
Springer, 2017. — 663 p. The book outlines selected projects conducted under the supervision of the author. Moreover, it discusses significant relations between Interactive Granular Computing (IGrC) and numerous dynamically developing scientific domains worldwide, along with features characteristic of the author’s approach to IGrC. The results presented are a continuation and...
2nd edition. — O’Reilly Media, Inc., 2021. — 250 p. — ISBN: 978-1-492-08791-5. 2021-08-17: First Release This thoroughly revised guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You'll learn how to combine small yet powerful command-line tools to quickly obtain, scrub, explore, and model your data. To...
InTech, 2008, -294 p. Digest of articles In real-world optimization applications, stakeholders require multiple and complex constraints, which are difficult to satisfy and make complicated to find satisfactory solutions. In the most cases, we face over-constrained optimization problems (no satisfactory solution can be found) because of the stakeholders’ multiple requirements...
CRC Press, 2023. — 363 p. — ISBN: 978-0-367-75008-4. A key challenge in science and engineering is to provide a quantitative description of the systems under investigation, leveraging the noisy data collected. Such a description may be a complete mathematical model or a mechanism to return controllers corresponding to new, unseen inputs. Recent advances in the theories are...
Singapore, World Scientific Publishing Co. Pte. Ltd., 2016. — 165 p. — (East China Normal University Scientific Reports: Subseries on Data Science and Engineering №03). — ISBN: 9813108789. Data uncertainty widely exists in many applications, and an uncertain data stream is a series of uncertain tuples that arrive rapidly. However, traditional techniques for deterministic data...
Springer, 2002. — 218 p. Text classification, or the task ofautomatically assigning semantic categories to natural language text, has become one of the key methods for organizing online information. Since hand-coding such classification rules is costly or even impractical, most modem approaches employ machine learning techniques to automatically learn text classifiers from...
Springer, 2002. — 218 p. Text classification, or the task of automatically assigning semantic categories to natural language text, has become one of the key methods for organizing online information. Since hand-coding such classification rules is costly or even impractical, most modem approaches employ machine learning techniques to automatically learn text classifiers from...
Independently published, 2024. — 196 p. — ASIN: B0CZMX1C1L. “SQL for Data Analysis: A Middle-Level Guide to Integrating SQL with Data Science Tools” is the perfect bridge for professionals who have grasped the basics of SQL and are ready to elevate their data analysis skills to new heights. This comprehensive guide is tailored for those poised at the intersection of SQL...
Linkoping universitet, 2007. — 272 p. In this thesis, two novel algorithms based on Genetic Programming are suggested. The first algorithm (GEMS) is used for ensemble creation, and the second (G-REX) is used for rule extraction from opaque models. The main property of GEMS is the ability to combine smaller ensembles and individual models in an almost arbitrary way. Moreover,...
Springer, 2023. — 286 p. — (Mathematics of Data, 2). — ISBN: 3031334396. This book explores and demonstrates how geometric tools can be used in data analysis. Beginning with a systematic exposition of the mathematical prerequisites, covering topics ranging from category theory to algebraic topology, Riemannian geometry, operator theory, and network analysis, it goes on to...
New York: Libraries Unlimited, 2018. — 255 p. Many librarians' job responsibilities increasingly require them to understand and handle data. Learn how to be an effective data librarianeven if you never expected to need data skills. Acquaints readers with the fast-growing field of data librarianship Teaches librarians the fundamental skills needed to be a data librarian Offers...
2nd Ed. — ITAvE, 2016. — 298 p. — ISBN: 953510862X. This issue is about how the original self-organizing map as well as variants and extensions of it can be applied in different fields. A wide range of applications is discussed - the analysis of financial stability, the fault diagnosis of plants, the creation of well-composed heterogeneous teams and the application of the...
InTech – 2012, 298 p. ISBN: 9535108627, 9789535108627 This book is about such applications, i.e. how the original self-organizing map as well as variants and extensions of it can be applied in different fields. In fourteen chapters, a wide range of such applications is discussed. To name a few, these applications include the analysis of financial stability, the fault diagnosis...
Morgan Kaufmann, 1997, -594 p. Following their genesis in library-based systems for searching bibliographic records, information retrieval, or IR, systems are now used for searching a vast range of text databases. This Reader provides a comprehensive introduction to the research that has been carried out to develop and to test the models and the techniques that can be exploited...
Springer, 1998. — 623 p. Graphical models are a marriage between probability theory and graph theory. They provide a natural tool for dealing with two problems that occur throughout applied mathematics and engineering – uncertainty and complexity – and in particular they are playing an increasingly important role in the design and analysis of machine learning algorithms....
Springer, 1998. — 623 p. Graphical models are a marriage between probability theory and graph theory. They provide a natural tool for dealing with two problems that occur throughout applied mathematics and engineering – uncertainty and complexity – and in particular they are playing an increasingly important role in the design and analysis of machine learning algorithms....
IGI Global, 2012. — 561 p. With the rapid growth of web-based applications, such as search engines, Facebook, and Twitter, the development of effective and personalized information retrieval techniques and of user interfaces is essential. The amount of shared information and of social networks has also considerably grown, requiring metadata for new sources of information, like...
2nd Edition. — Routledge, 2008. — 329 p. — ISBN: 978-0-8058-3388-1. This completely rewritten classic text features many new examples, insights and topics including mediational, categorical, and multilevel models. Substantially reorganized, this edition provides a briefer, more streamlined examination of data analysis. Noted for its model-comparison approach and unified...
New York: Productivity Press, 2021. — 123 p. Data is an intrinsic part of our daily lives. Everything we do is a data point. Many of these data points are recorded with the intent to help us lead more efficient lives. We have apps that track our workouts, sleep, food intake, and personal finance. We use the data to make changes to our lives based on goals we have set for...
Springer, 2006. — 261 p. This research monograph proposes a unified, cross-fertilizing approach for knowledge-representation and modeling based on lattice theory. The emphasis is on clustering, classification, and regression applications. It presents novel tools and useful perspectives for effective pattern classification. The material is multi-disciplinary based on on-going...
Springer, 2007. — 381 p. This book presents the latest applications of lattice theory in Computational Intelligence (CI). The book focuses on neural computation, mathematical morphology, machine learning, and (fuzzy) inference/logic. The book comes out of a special session held during the World Council for Curriculum and Instruction World Conference (WCCI 2006). The articles...
Springer, 2015. — 1633 p. — ISBN: 978-3-662-43504-5 We are honored and happy to be able to make available this Springer Handbook of Computational Intelligence, a large and comprehensive account of both the state-ofthe- art of the research discipline, complemented with some historical remarks, main challenges, and perspectives of the future. To follow a predominant tradition, we...
Springer, 2023. — 91 p. This book is meant for readers who want to understand GANs without the need for a strong mathematical background. Moreover, it covers the practical applications of GANs, making it an excellent resource for beginners. A Primer on Generative Adversarial Networks is suitable for researchers, developers, students, and anyone who wishes to learn about GANs....
New York: Springer, 2016. - 358 p. Provides readers with the necessary tools for making inference with fuzzy data Extends all the main aspects of classical statistical decision-making to its fuzzy counterpart Includes relevant numerical examples and case studies This book offers a comprehensive reference guide to fuzzy statistics and fuzzy decision-making techniques. It...
ITexLi, 2023. — 110 p. — ISBN: 1837695911 9781837695911 183769592X 9781837695928 1837695938 9781837695935. Data is often open to all users and sharers. Governments provide data on publicly available websites and this data may pertain to specific regions or be aggregate data on national or international issues. Data that is in the public domain but not in a machine-readable...
ITexLi, 2022. — 77 p. — ISBN: 1839683163 9781839683169 1839683155 9781839683152 1839683171 9781839683176. This book describes how data retrieved from public open data repositories can improve the learning qualities of digital networking, particularly performance and reliability. Chapters address such topics as knowledge extraction, Open Government Data (OGD), public dashboards,...
Elsevier Science & Technology, 2023. — 336 p. — ISBN: 978-0-323-91778-0. Fundamentals of Data Science: Theory and Practice presents basic and advanced concepts in data science along with real-life applications. The book provides students, researchers, and professionals at different levels with a good understanding of the concepts of data science, machine learning, data mining,...
Academic Press, 2023. — 336 p. — ISBN: 978-032391778X. Fundamentals of Data Science: Theory and Practice presents basic and advanced concepts in data science along with real-life applications. The book provides students, researchers, and professionals at different levels with a good understanding of the concepts of data science, machine learning, data mining, and analytics....
New York: Springer, 2020. — 464 p. Inverse problems such as imaging or parameter identification deal with the recovery of unknown quantities from indirect observations, connected via a model describing the underlying context. While traditionally inverse problems are formulated and investigated in a static setting, we observe a significant increase of interest in time-dependence...
SIAM, 2009. — 304 p. echnological advances are enabling scientists to collect vast amounts of data in fields such as medicine, remote sensing, astronomy, and high-energy physics. These data arise not only from experiments and observations, but also from computer simulations of complex phenomena. They are often complex, with both spatial and temporal components. As a result, it...
CRC Press, 2022. — 278 p. — ISBN: 978-1-032-11203-9. This book concentrates on mining networks, a subfield within data science. Data science uses scientific and computational tools to extract valuable knowledge from large data sets. Once data is processed and cleaned, it is analyzed and presented to support decision-making processes. Data science and machine learning tools have...
Apress Berkeley, 2023. — 264 p. — eBook ISBN: 978-1-4842-9505-2. As a society, we’re in a constant struggle to control uncertainty and predict the unknown. Quite often, we think of scientific fields and theories as being separate from each other. But a more careful investigation can uncover the common thread that ties many of those together. From ChatGPT to Amazon’s Alexa, to...
Automaton, 2007, -352 p. This book aims to assist social scientists to analyze their problems using fuzzy models. The basic and essential fuzzy matrix theory is given. The book does not promise to give the complete properties of basic fuzzy theory or basic fuzzy matrices. Instead, the authors have only tried to give those essential basically needed to develop the fuzzy model....
New Jersey: Wiley-IEEE Press, 2019. — 638 p. — ISBN 978-1119516040, 1119516048, ASIN B07ZKW957S. 3 edition. Presents the latest techniques for analyzing and extracting information from large amounts of data in high-dimensional data spaces The revised and updated third edition of Data Mining contains in one volume an introduction to a systematic approach to the analysis of large...
New Jersey: John Wiley & Sons, Inc., 2011. — 534 p. — ISBN: 978-0-470-89045-5. This book reviews state-of-the-art methodologies and techniques for analyzing enormous quantities of raw data in high-dimensional data spaces, to extract new information for decision making. The goal of this book is to provide a single introductory source, organized in a systematic way, in which we...
John Wiley & Sons, 2003. — 304 p. — ISBN: 0471228524. Traditionally, analysts have performed the task of extracting useful information from recorded data. But, the increasing volume of data in modern business and science calls for computer-based approaches. As data sets have grown in size and complexity, there has been an inevitable shift away from direct hands-on data analysis...
3rd Edition. — Wiley-IEEE Press, 2020. — 638 p. — ISBN: 978-1119516040. Presents the latest techniques for analyzing and extracting information from large amounts of data in high-dimensional data spaces The revised and updated third edition of Data Mining contains in one volume an introduction to a systematic approach to the analysis of large data sets that integrates results...
Springer, 2021. — 225 p. — (Learning Materials in Biosciences). — ISBN: 978-3-030-62489-7. This textbook provides step-by-step protocols and detailed explanations for RNA Sequencing, ChIP-Sequencing and Epigenetic Sequencing applications. The reader learns how to perform Next Generation Sequencing data analysis, how to interpret and visualize the data, and acquires knowledge on...
De Gruyter, 2019. — 398 p. — ISBN: 978-3-11-049636-9. This graduate text covers a variety of mathematical and statistical tools for the analysis of big data coming from biology, medicine and economics. Neural networks, Markov chains, tools from statistical physics and wavelet analysis are used to develop efficient computational algorithms, which are then used for the processing...
De Gruyter, 2019. — 398 p. — ISBN: 978-3-11-049635-2. This graduate text covers a variety of mathematical and statistical tools for the analysis of big data coming from biology, medicine and economics. Neural networks, Markov chains, tools from statistical physics and wavelet analysis are used to develop efficient computational algorithms, which are then used for the processing...
Rijeka: InTeOp, 2012. — 429 p. — ISBN: 9535107484, 9789535107484. This book aims to help data miners, researchers, scholars, and Ph.D. students who wish to apply data mining techniques. The primary contribution of this book is highlighting frontier fields and implementations of the knowledge discovery and data mining. This book presents knowledge discovery and data mining...
InTech, 2012. — 336 p. — ISBN: 978-953-51-0720-0. Data mining generally covers areas of statistics, machine learning, data management and databases, pattern recognition, artificial intelligence, etc. In this book, most of the areas are covered by describing different applications. This is why you will find here why and how Data Mining can also be applied to the improvement of...
CRC Press, 2024. — 354 p. — ISBN: 978-1-032-50949-5. Since 2011, the Fourth Industrial Revolution (IR4.0) has played a significant role in education, research, and industry. There are nine pillars under the framework of IR4.0 namely Big Data and Analytics, Robotics, Simulation, Horizontal and Vertical Integration, Internet of Things (IoT), Cybersecurity, Cloud Computing,...
Springer, 2022. — 439 p. — ISBN: 978-3-030-79605-1. This book creates the emergence of disruptive technologies that have led to a significant change in the role of mathematics and statistics for problem-solving, with the use of sophisticated software and hardware in solving complex systems and processes. In the era of digital technology, mathematics and statistics need to be...
Springer, 2003. — 300 p. The last two decades have witnessed an enormous growth with regard to applications of information theoretic framework in areas of physical, biological, engineering and even social sciences. In particular, growth has been spectacular in the field of information technology,soft computing, nonlinear systems and molecular biology. Claude Shannon in 1948...
New York: Wiley-ISTE, 2019. — 211 p. In recent years, there has been a proliferation of opinion-heavy texts on the Web: opinions of Internet users, comments on social networks, etc. Automating the synthesis of opinions has become crucial to gaining an overview on a given topic. Current automatic systems perform well on classifying the subjective or objective character of a...
Karthikeyan A.K., 2020. — 288 p. This book should be seen as my attempt to explain Data Science to myself and nothing more. Will this book rose to professional stature is yet to be seen. I was emboldened to write this book after my video series called Data Science With Julia got some traction. That too after a tweet about Decision Tree was liked by Julia Language itself.
Independently published, 2021. — 410 p. I was emboldened to write this book after my video series called Data Science With Julia got some traction. That too after a tweet about Decision Tree was liked by Julia Language itself. So I thought why not give it more? This book should be seen as my attempt to explain Data Science to myself and nothing more. Will this book rose to...
Wiley, 2021. — 364 p. — ISBN: 1119558638. A practical guide for anyone who aspires to become data analytics–savvy Data analytics has become central to the operation of most businesses, making it an increasingly necessary skill for every manager and for all functions across an organisation. Data Analytics for Organisational Development: Unleashing the Potential of Your Data...
Oakville, Canada: Arcler Press, 2019. — 300 p. — ISBN: 978-1-77361-250-8. Applications of Data Mining in Engineering, Management and Medicine has been broadly divided into four sections. According to some industry specialists, ‘Data is the new gold’ and has numerous applications in each and every field of industry, be it the engineering, medicine or management. The need of data...
MIT Press, 1994. — 216 p. In the Fall term of 1990, we jointly taught a graduate seminar in computational learning theory in the computer science department of the University of California at Berkeley. The material that is presented here has its origins in that course, both in content and exposition. Rather than attempt to give an exhaustive overview of this rapidly expanding...
MIT Press, 1994. — 216 p. In the Fall term of 1990, we jointly taught a graduate seminar in computational learning theory in the computer science department of the University of California at Berkeley. The material that is presented here has its origins in that course, both in content and exposition. Rather than attempt to give an exhaustive overview of this rapidly expanding...
New York: Springer, 2019. — 115 p. In recent years, knowledge graphs (KGs) have emerged as a major area in Artificial Intelligence (AI). Graphs have always been pervasive in the broader AI literature, but with the advent of large quantities of data on the Web ("Big Data") and in the broader commercial sphere, there emerged a need to enable machines to ‘understand’ and make use...
The MIT Press, 2021. — 568 p. — ISBN: 978-0262045094. A rigorous and comprehensive textbook covering the major approaches to knowledge graphs, an active and interdisciplinary area within artificial intelligence. The field of knowledge graphs, which allows us to model, process, and derive insights from complex real-world data, has emerged as an active and interdisciplinary area...
Boston: The MIT Press, 2018. — 282 p. — ISBN: 9780262535434 A concise introduction to the emerging field of data science, explaining its evolution, relation to machine learning, current uses, data infrastructure issues, and ethical challenges. The goal of data science is to improve decision making through the analysis of data. Today data science determines the ads we see...
MDPI, 2019. — 262 p. Entropies and entropy-like quantities play an increasing role in modern non-linear data analysis. Fields that benefit from this application range from biosignal analysis to econophysics and engineering. This issue is a collection of papers touching on different aspects of entropy measures in data analysis, as well as theoretical and computational analyses....
New York: Springer, 2015. - 82 p. The key idea of this book is that hinging hyperplanes, neural networks and support vector machines can be transformed into fuzzy models, and interpretability of the resulting rule-based systems can be ensured by special model reduction and visualization techniques. The first part of the book deals with the identification of hinging...
Wiley, 2019. — 120 p. — ISBN: 1119570700. The essential guide for data scientists and for leaders who must get more from their data science teams. It is no secret that “data,” broadly defined, is all the rage. And “data science,” including traditional statistics, Bayesian statistics, business intelligence, predictive analytics, Big Data, Machine Learning (ML), and Artificial...
Wiley, 2019. — 120 p. — ISBN: 1119570700. The essential guide for data scientists and for leaders who must get more from their data science teams. It is no secret that “data,” broadly defined, is all the rage. And “data science,” including traditional statistics, Bayesian statistics, business intelligence, predictive analytics, Big Data, Machine Learning (ML), and Artificial...
AUP, 2020. - 464 p. - ISBN: 9789463722902 Today we are witnessing an increased use of data visualization in society. Across domains such as work, education and the news, various forms of graphs, charts and maps are used to explain, convince and tell stories. In an era in which more and more data are produced and circulated digitally, and digital tools make visualization...
Palgrave Macmillan, 2016. — 270 p. In this book, Helen Kennedy argues that as social media data mining becomes more and more ordinary, as we post, mine and repeat, new data relations emerge. These new data relations are characterised by a widespread desire for numbers and the troubling consequences of this desire, and also by the possibility of doing good with data and...
NY: Taylor&Francis, 1992. — 584 p. — ISBN: 0805810935, 978-0805810936. This book constitutes a considerable and elaborated revision of Statistical and Methodological Issues in Psychology and Social Sciences Research published in 1982. Some chapters from the previous book have been substantially revised (these are marked in the table of contents by an asterisk). A few chapters...
Manning Publications, 2025. — 416 p. — ISBN: 1633438414. Learn the technical and soft skills you need to succeed in your career as a data analyst. In Effective Data Analysis you’ll learn skills for succeeding at data analysis including: Maximizing the value of your analytics projects and deliverables. Identifying data sources that enhance your organization's insights....
Manning Publications, 2025. — 416 p. — ISBN-13: 978-1633438415. Learn the technical and soft skills you need to succeed in your career as a data analyst. You’ve learned how to use Python, R, SQL, and the statistical skills needed to get started as a data analyst — so, what’s next? Effective Data Analysis bridges the gap between foundational skills and real-world application....
River Publisher, 2024. — 128 p. — ISBN: 8770047170. This practical book introduces open-source intelligence (OSINT) and explores how it can be executed in different intelligence scenarios. It covers varying supporting topics, such as online tracking techniques, privacy best practices for OSINT researchers, and practical examples of OSINT investigations. The book also delves...
Packt Publishing, 2015. — 296 p. Gephi is an open-source, user-friendly network visualization and analysis tool that provides numerous powerful features, making it easy for novices to get to grips with graph analysis quickly. This book is your one-stop guide to learning Gephi's interactive networking and visualization, alongside the graph theory concepts that drive them. Each...
Springer, 2000. — 428. This volume contains a selection of papers presented at the Seventh Conference of the International Federation of Classification Societies (IFCS-2000), which was held in Namur, Belgium, July 11-14, 2000. From the originally submitted papers, a careful review process involving two reviewers per paper, led to the selection of 65 papers that were considered...
BCS Learning & Development Ltd, 2020. — 161 p. — ISBN: 978-1-78017-4594. Data is an increasingly important business asset and enabler for organisational activities. Data quality is a key aspect of data management and failure to understand it increases organisational risk and decreases efficiency and profitability. This book explains data quality management in practical terms,...
2nd ed. — Sage Publications Ltd., 2019. — 328 p. — ISBN: 978-1526468932 (hardback), ISBN: 978-1526468925 (paperback). With over 200 images and extensive how-to and how-not-to examples, this new edition has everything students and scholars need to understand and create effective data visualisations. Combining 'how to think' instruction with a 'how to produce' mentality, this...
New York: Springer, 2020. — 178 p. This book deals with "Computer Aided Writing", CAW for short. The contents of that is a sector of Knowledge based technics and Knowledge Management. The role of Knowledge Management in social media, education and Industry 4.0 is out of question. More important is the expectation of combining Knowledge Management and Cognitive Technology, which...
Birmingham: Packt Publishing, 2019. — 373 p. — ISBN: 1838551026. Key Features Learn techniques to use data to identify the exact problem to be solved. Visualize data using different graphs. Identify how to select an appropriate algorithm for data extraction. Book Description Data Science Projects with Python is designed to give you practical guidance on industry-standard data...
Packt Publishing, 2019. — 373 p. — ISBN: 978-1-83855-102-5. Gain hands-on experience with industry-standard data analysis and machine learning tools in Python Data Science Projects with Python is designed to give you practical guidance on industry-standard data analysis and machine learning tools in Python, with the help of realistic data. The book will help you understand how...
Packt Publishing, 2019. — 315 p. — ISBN: 978-1-83855-102-5. Gain hands-on experience with industry-standard data analysis and machine learning tools in Python Data Science Projects with Python is designed to give you practical guidance on industry-standard data analysis and machine learning tools in Python, with the help of realistic data. The book will help you understand how...
Packt Publishing, 2019. — 315 p. — ISBN: 978-1-83855-102-5. Gain hands-on experience with industry-standard data analysis and machine learning tools in Python Data Science Projects with Python is designed to give you practical guidance on industry-standard data analysis and machine learning tools in Python, with the help of realistic data. The book will help you understand how...
Packt Publishing, 2019. — 315 p. — ISBN: 978-1-83855-102-5. Gain hands-on experience with industry-standard data analysis and machine learning tools in Python Data Science Projects with Python is designed to give you practical guidance on industry-standard data analysis and machine learning tools in Python, with the help of realistic data. The book will help you understand how...
Packt Publishing, 2019. — 373 p. — ISBN: 978-1-83855-102-5. Code files only! Gain hands-on experience with industry-standard data analysis and machine learning tools in Python Data Science Projects with Python is designed to give you practical guidance on industry-standard data analysis and machine learning tools in Python, with the help of realistic data. The book will help...
Springer, 2016. — 299 p. — ISBN: 9783662497203. The book at hand gives a summary of the manifold audio- and web-based approaches and subfields of music information retrieval research for media consumption. In contrast to books that focus only on methods for acoustic signal analysis, this book is focused on music as a specific domain, addressing additional cultural aspects and...
Cambridge University Press, 2007. — 222 p. — ISBN: 978-0521852678, e-ISBN: 978-0511257483. There is a growing need for a more automated system of partitioning data sets into groups, or clusters. For example, digital libraries and the World Wide Web continue to grow exponentially, the ability to find useful information increasingly depends on the indexing infrastructure or...
IGI Global, 2010, -320 p. This is the third volume of the Advances in Data Warehousing and Mining (ADWM) book series. ADWM publishes books in the areas of data warehousing and mining. This special volume, Rare Association Rule Mining and Knowledge Discovery: Technologies for Infrequent and Critical Event Detection, presents cutting edge research in this newly emerging area....
Boca Raton: CRC Press, 2000. — 787 p. With all the material available in the field of artificial intelligence (AI) and soft computing-texts, monographs, and journal articles-there remains a serious gap in the literature. Until now, there has been no comprehensive resource accessible to a broad audience yet containing a depth and breadth of information that enables the reader to...
Springer, 2005, -713 p. The book takes a modest attempt to cover the entire framework of computational intelligence and its applications in a single volume. It includes 23 chapters, covering all aspects of the subject in a clear, precise and highly comprehensive style. The book also includes two appendices. Appendix-A contains sample runs of programs, the source codes of which...
Horwood Publishing Limited, 2007. — 475 p. — ISBN: 1904275214, 978-1904275213. Data mining is often referred to by real-time users and software solutions providers as knowledge discovery in databases (KDD). Good data mining practice for business intelligence (the art of turning raw software into meaningful information) is demonstrated by the many new techniques and developments...
Springer, 2021. — 355 p. — ISBN: 978-3-030-76290-2. This book is devoted to the leading research in applying learning automaton (LA) and heuristics for solving benchmark and real-world optimization problems. The ever-increasing application of the LA as a promising reinforcement learning technique in artificial intelligence makes it necessary to provide scholars, scientists, and...
Springer, 2020. — 511 p. — ISBN: 3030363740. This book offers practical guidelines on creating value from the application of data science based on selected artificial intelligence methods. In Part I, the author introduces a problem-driven approach to implementing AI-based data science and offers practical explanations of key technologies: machine learning, deep learning,...
Springer, 2018. — 343 p. — ISBN: 9783662559932. This book explains how to teach better and presents the latest research on processing educational data and presents traditional statistical techniques as well as probabilistic, interval, and fuzzy approaches. Teaching is a very rewarding activity; it is also a very difficult one – because it is largely an art. There is a lot of...
2nd Edition. — Morgan Kaufmann, 2019. — 549 p. — ISBN: 978-0-12-814761-0. Learn the basics of Data Science through an easy to understand conceptual framework and immediately practice using RapidMiner platform. Whether you are brand new to data science or working on your tenth project, this book will show you how to analyze data, uncover hidden patterns and relationships to aid...
Morgan Kaufmann, 2015. — 430 p. — ISBN: 0128014601, 9780128014608. Put Predictive Analytics into Action Learn the basics of Predictive Analysis and Data Mining through an easy to understand conceptual framework and immediately practice the concepts learned using the open-source RapidMiner tool. Whether you are brand new to Data Mining or working on your tenth project, this book...
New York: Morgan & Claypool, 2018. — 192 p. Graphs naturally represent information ranging from links between web pages, to communication in email networks, to connections between neurons in our brains. These graphs often span billions of nodes and interactions between them. Within this deluge of interconnected data, how can we find the most important structures and summarize...
New York: Kluwer Academic Publishers, 2002. — 308 p. — (The Kluwer International Series in Engineering and Computer Science). Data Mining in Finance presents a comprehensive overview of major algorithmic approaches to predictive data mining, including statistical, neural networks, ruled-based, decision-tree, and fuzzy-logic methods, and then examines the suitability of these...
CRC Press, 2023. — 342 p. — ISBN: 9780429441196. The book describes the theoretical principles of nonstatistical methods of data analysis without going deep into complex mathematics. The emphasis is laid on the presentation of solved examples of real data either from authors' laboratories or from open literature. The examples cover a wide range of applications such as quality...
Springer, 2017. — 156 p. — ISBN: 9783658192303, 3658192305, 9783658192297. In his research, Martin Kowalczyk empirically investigates the challenges of designing and establishing successful decision support with Business Intelligence and Analytics (BI&A). The results from his work elucidate organizational and individual perspectives of BI&A support in decision processes. The...
Kluwer, 2002, -333 p. The Second Edition incorporates the latest developments in the area of Information Retrieval. The major addition to this text is descriptions of the automated indexing of multimedia documents. Items in information retrieval are now considered to be a combination of text along with graphics, audio, image and video data types. What this means from an...
IGI Global, 2011. — 356 p. The modern world is fraught with risk, from natural disasters and terrorist attacks, to financial crises and pandemics. Assessing and planning for these risks can be done with a conventional human-based approach but this often requires large amounts of time and resources. The book has never been more important, as the research this book presents an...
Chapman and Hall/CRC, 2022. — 316 p. — ISBN13: 978-0367630713. All data are the result of human actions whether by experimentations, observations, or declarations. As such, the presumption of knowing what data are about is subject to imperfections that can affect the validity of research efforts. With calls for data-based research comes the need to assure the reliability of...
Oak Park: Bentham Science Publishers, 2016. — 135 p. This brief text presents a general guideline for writing advanced algorithms for solving engineering and data visualization problems. The book starts with an introduction to the concept of evolutionary algorithms followed by details on clustering and evolutionary programming. Subsequent chapters present information on aspects...
Dirk P. Kroese, Zdravko I. Botev, Thomas Taimre, Radislav Vaisman. — CRC Press, 2019. — 536 p. — (Chapman & Hall/Crc Machine Learning & Pattern Recognition). — ISBN: 978-1-138-49253-0. “This textbook is a well-rounded, rigorous, and informative work presenting the mathematics behind modern machine learning techniques. It hits all the right notes: the choice of topics is...
CRC, 2019. — 532 p. — ISBN: 1138492531. The purpose of Data Science and Machine Learning: Mathematical and Statistical Methods is to provide an accessible, yet comprehensive textbook intended for students interested in gaining a better understanding of the mathematics and statistics that underpin the rich variety of ideas and machine learning algorithms in data science.
New York: Springer, 2017. — 542 p. This book presents recent research in intelligent information and database systems. The carefully selected contributions were initially accepted for presentation as posters at the 9th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2017) held from to 5 April 2017 in Kanazawa, Japan. While the contributions are of an...
Academic Press, 2010. Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan, Second Edition provides an accessible approach for conducting Bayesian data analysis, as material is explained clearly with concrete examples. Included are step-by-step instructions on how to carry out Bayesian data analyses in the popular and free software R and WinBugs, as well as new...
Springer Heidelberg New York Dordrecht London. 2013.—524 p. ISBN10: 364233041X In recent years there has been a growing interest to extend classical methods for data analysis. The aim is to allow a more flexible modeling of phenomena such as uncertainty, imprecision or ignorance. Such extensions of classical probability theory and statistics are useful in many real-life...
Routledge, 2017. — 240 p. — ISBN: 9781138689053. The authors discuss how this framework can be utilized by businesses, governments, and consumers to accelerate economic growth and overcome information and communication barriers. By examining the ways in which cloud computing can drive social, economic, and environmental transformation, readers gain a nuanced understanding of...
Cybertech Publishing, 2004. — 255 p. Managing Data Mining: Advice from Experts is a collection of leading business applications in the data mining and multivariate modeling spectrum provided by experts in the field at leading US corporations. Each contributor provides valued insights as to the importance quantitative modeling provides in helping their corresponding...
Springer, 2015. — 457 p. — (Remote Sensing and Digital Image Processing). — ISBN: 9783319159669, EISBN:9783319159676 This volume comprises an outstanding variety of chapters on Earth Observation based time series analyses, undertaken to reveal past and current land surface dynamics for large areas. What exactly are time series of Earth Observation data? Which sensors are...
CRC Press, 2024. — 347 p. — (Advances in Computational Collective Intelligence). — ISBN: 9781032650692. Edge computational intelligence is an interface between Edge Computing and Artificial Intelligence (AI) technologies. This interfacing represents a paradigm shift in the world of work by enabling broad application areas and customer-friendly solutions. Edge computational...
ITexLi, 2023. — 115 p. — ISBN: 1839688637 9781839688638 1839688629 9781839688621 1839688858 9781839688850. Data integrity is the overall accuracy, completeness, and consistency of data. Data integrity also refers to the safety of data regarding regulatory compliance, such as GDPR compliance, and security. It is maintained by a collection of processes, rules, and standards...
BPB Publications, 2024. — 215 p. — ISBN: 978-93-55517-340. Unveiling insights, unleashing potential: Navigating the depths of data warehousing and mining for a data-driven tomorrow Key Features. Explore concepts ranging from fundamentals to advanced techniques of data warehouses and data mining. Translate business questions into actionable strategies to make informed decisions....
Wiley-Scrivener, 2023. — 467 p. The field of Data Science is incredibly broad, encompassing everything from cleaning data to deploying predictive models. However, it is rare for any single data scientist to be working across the spectrum day-to-day. Data scientists usually focus on a few areas and are complemented by a team of other scientists and analysts. Data engineering is...
Orange Education Pvt Ltd., 2024. — 526 p. — ISBN-13: 978-81-96862-01-5. Master Databricks to Transform Data into Strategic Insights for Tomorrow’s Business Challenges Book Description In today’s data-driven world, mastering data engineering is crucial for driving innovation and delivering real business impact. Databricks is one of the most powerful platforms which unifies data,...
CRC, 2021. - 360 p. - ISBN: 9780367370688 Present book covers new paradigms in Blockchain, Big Data and Machine Learning concepts including applications and case studies. It explains dead fusion in realizing the privacy and security of blockchain based data analytic environment. Recent research of security based on big data, blockchain and machine learning has been explained...
IGI Global, 2012. – 286 p. – ISBN: 1613500564, 9781613500569 A huge amount of data is collected every day in the form of sequences. These sequential data are valuable sources of information not only to search for a particular value or event at a specific time, but also to analyze the frequency of certain events or sets of events related by particular temporal/sequential...
Boca Raton: CRC Press, 2021. — 249 p. Recommender systems use information filtering to predict user preferences. They are becoming a vital part of e-business and are used in a wide variety of industries, ranging from entertainment and social networking to information technology, tourism, education, agriculture, healthcare, manufacturing, and retail. Recommender Systems:...
New York: Apress, 2017. — 316 p. The technology follows business needs and progresses along with it. But not all businesses are very much into the latest technology adoption based on their exact needs and various other reasons. Even so, there is always a bigger chunk of business that actually tries to follow what is needed progressively for them in terms of technology adoption....
Nova Science Publ., 2021. — 386 p. — (Computer Science, Technology and Applications). — ISBN: 978-1-68507-363-3. Green computing is the emerging practice of using computing and information technology resources more efficiently while maintaining or improving overall performance. The most common technologies include classification and clustering which are very much in use to...
Boca Raton: CRC Press, 2021. — 289 p. Predictive analytics refers to making predictions about the future based on different parameters which are historical data, machine learning, and artificial intelligence. This book provides the most recent advances in the field along with case studies and real-world examples. It discusses predictive modeling and analytics in reliability...
Oxford University Press, 2013. — 657 p. The burgeoning field of data analysis is expanding at an incredible pace due to the proliferation of data collection in almost every area of science. The enormous data sets now routinely encountered in the sciences provide an incentive to develop mathematical techniques and computational algorithms that help synthesize, interpret and give...
2nd Edition. — Academic Press, 2020. — 324 p. — ISBN: 978-0-12-815831-9. Managing data continues to grow as a necessity for modern organizations. There are seemingly infinite opportunities for organic growth, reduction of costs, and creation of new products and services. It has become apparent that none of these opportunities can happen smoothly without data governance. The...
Springer, 2014. — 304 p. This timely text/reference explores the business and technical issues involved in the management of information systems in the era of big data and beyond. Topics and features: presents review questions and discussion topics in each chapter for classroom group work and individual research assignments; discusses the potential use of a variety of big data...
Second Edition — O’Reilly, April 2022 - 462 p. — ISBN: 978-1-098-11895-2. Implementing End-to-End Real-Time Data Pipelines: From Ingest to Machine Learning Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build using Google Cloud Platform (GCP). This hands-on guide shows data engineers and data scientists how...
O’Reilly Media, 2018. — 410 p. — ISBN: 978-1491974568. Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build on top of the Google Cloud Platform (GCP). This hands-on guide shows developers entering the data science field how to implement an end-to-end data pipeline, using statistical and machine learning...
Early release . — New York: O’Reilly Media, 2017. — 195 p. Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build on top of the Google Cloud Platform (GCP). With this practical guide, author and GCP Program Manager Valliappa Lakshmanan shows you how to gain insight into a sample business decision by applying...
O’Reilly Media, 2018. — 410 p. — ISBN: 978-1491974568. Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build on top of the Google Cloud Platform (GCP). This hands-on guide shows developers entering the data science field how to implement an end-to-end data pipeline, using statistical and machine learning...
World Scientific Publishing, 2023. — 200 p. — eBook ISBN: 978-981-127-756-6. This book is meant for readers with little or no experience in programming in R and Python, who wish to quickly learn what is necessary, and be able to conduct marketing research by running tests easily in R or Python. several marketing research textbooks have been using SPSS or SAS for many years....
Packt Publishing, 2018. — 414 p. — ISBN: 978-1-78913-940-2. A hands-on guide for professionals to perform various data science tasks in R R is the most widely used programming language, and when used in association with data science, this powerful combination will solve the complexities involved with unstructured datasets in the real world. This book covers the entire data...
Springer, 2000. — 344 p. — ISBN: 3-540-67729-1. Learning Classifier Systems (LCS) are a machine learning paradigm introduced by John Holland in 1976. They are rule-based systems in which learning is viewed as a process of ongoing adaptation to a partially unknown environment through genetic algorithms and temporal difference learning. This book provides a unique survey of the...
CRC Press, 2023. — 279 p. — (What Every Engineer Should Know). — ISBN: 978-1-032-23543-1. What Every Engineer Should Know About Data-Driven Analytics provides a comprehensive introduction to the theoretical concepts and approaches of machine learning that are used in predictive data analytics. By introducing the theory and by providing practical applications, this text can be...
Wiley, 2019. — 240 p. — ISBN: 1119526817. Learn data science by doing data science! Data Science Using Python and R will get you plugged into the world’s two most widespread open-source platforms for data science: Python and R. Data science is hot. Bloomberg called data scientist “the hottest job in America.” Python and R are the top two open-source data science tools in the...
John Wiley & Sons, Inc., 2019. — 247 p. — ISBN: 9781119526841 (EPUB). Learn data science by doing data science! Data Science Using Python and R will get you plugged into the world’s two most widespread open-source platforms for data science: Python and R. Data science is hot. Bloomberg called data scientist “the hottest job in America.” Python and R are the top two open-source...
John Wiley & Sons, Inc., 2006. — 339 p. — ISBN: 0471666564, 9780471666561. Data Mining Methods and Models provides: The latest techniques for uncovering hidden nuggets of information The insight into how the data mining algorithms actually work The hands-on experience of performing data mining on large data sets Data Mining Methods and Models: Applies a "white box" methodology,...
John Wiley & Sons, 2005. — 237 p. — ISBN: 0471666572, 978-0471666578. Learn Data Mining by doing data mining. Data mining can be revolutionary — but only when it's done right. The powerful black box data mining software now available can produce disastrously misleading results unless applied by a skilled and knowledgeable analyst. Discovering Knowledge in Data: An Introduction...
Second Edition. — Hoboken: John Wiley & Sons, Inc., 2015. — 824 p. — Wilew Series on methods and applications in data mining — ISBN: 978-1-118-11619-7. Learn methods of data analysis and their application toreal-world data sets. This updated second edition serves as an introduction to datamining methods and models, including association rules, clustering, neural networks,...
2nd ed. — John Wiley & Sons, Inc., 2014. — 336 p. — ISBN: 0470908742, 9780470908747. The second edition of a highly praised, successful reference on data mining, with thorough coverage of big data applications, predictive analytics, and statistical analysis. Includes new chapters on Multivariate Statistics, Preparing to Model the Data, and Imputation of Missing Data, and an...
World Scientific Publishing, 2018. — 196 p. — (Series in machine perception and artificial intelligence ; volume 83). — ISBN: 978-981-3228-03-0. This compendium is a completely revised version of an earlier book, Data Mining in Time Series Databases, by the same editors. It provides a unique collection of new articles written by leading experts that account for the latest...
World Scientific Publishing Co. Pte. Ltd., 2004. – 192 p. - Series in machine perception and artificial intelligence (Vol. 57) The book covers the state-of-the-art research in several areas of time series data mining. Specific problems challenged by the authors of this volume are as follows. Representation of Time Series. Efficient and effective representation of time series is...
World Scientific Publishing, 2018. — 196 p. This compendium is a completely revised version of an earlier book, Data Mining in Time Series Databases, by the same editors. It provides a unique collection of new articles written by leading experts that account for the latest developments in the field of time series and data stream mining. The emerging topics covered by the book...
Cambridge University Press, 2017. — 575 p. — ISBN: 978-1-107-10318-4. Networks constitute the backbone of complex systems, from the human brain to computer communications, transport infrastructures to online social systems and metabolic reactions to financial markets. Characterising their structure improves our understanding of the physical, biological, economic and social...
Outskirts Press, 2024. — 224 p. — ISBN-13: 978-1977275912. In today's fast-paced tech landscape, small businesses must stay competitive while managing complex processes. The Small Business Leader's Guide to AI is your essential resource for understanding and applying artificial intelligence to drive growth and efficiency. This guide simplifies AI concepts into actionable...
Information Science Reference, 2009. — 467 p. — (Premier Reference Source). — ISBN: 1605668583, 9781605668581 Today, fuzzy methods are of common use as they provide tools to handle data sets in a relevant, robust, and interpretable way, making it possible to cope with both imprecision and uncertainties. Scalable Fuzzy Algorithms for Data Management and Analysis: Methods and...
NY: Springer, 2015. — 560 p. — (Studies in Classification, Data Analysis, and Knowledge Organization). — ISBN: 978-3-662-44982-0. This volume comprises papers dedicated to data science and the extraction of knowledge from many types of data: structural, quantitative, or statistical approaches for the analysis of data; advances in classification, clustering, and pattern...
Cham: Springer, 2013. — 510 p. — ISBN: 978-3-319-00034-3; ISBN: 978-3-319-00035-0. This volume provides approaches and solutions to challenges occurring at the interface of research fields such as, e.g., data analysis, data mining and knowledge discovery, computer science, operations research, and statistics. In addition to theory-oriented contributions various application...
The MIT Press, 2023. — 418 p. — eBook ISBN: 9780262375122. A rigorous primer in movement studies for designers, engineers, and scientists that draws on the fields of dance and robotics. How should a gestural interface react to a “flick” versus a “dab”? Versus a “punch”? Should robots reach out to a human counterpart with direct, telescoping action or through a circuitous arc in...
N.-Y.: Auerbach Publications, CRC Press, 2007. — 336 p. — e-ISBN: 978-1-4200-1373-3. With today’s information explosion, many organizations are now able to access a wealth of valuable data. Unfortunately, most of these organizations find they are ill-equipped to organize this information, let alone put it to work for them. Gain a Competitive Advantage . - Employ data mining in...
Springer, 2003, -240 p. The development of high-performance computers and the corresponding advances in global communications have lead to an explosion in data collection, transmission and storage. Large-scale multidimensional databases are being generated to describe a wide variety of systems. These can range from engineering applications such as computer vision, to scientific...
IOS Press, 2017. — 210 p. Ontologies are now increasingly used to integrate, and organize data and knowledge, particularly in data and knowledge-intensive applications in both research and industry. The book is devoted to semantic data mining a data mining approach where domain ontologies are used as background knowledge, and where the new challenge is to mine knowledge encoded...
CRC Press, 2021. — 300 p. – (The R Series). — ISBN: 978-0367490126. Progressively more and more attention has been paid to how location affects health outcomes. The area of disease mapping focusses on these problems, and the Bayesian paradigm has a major role to play in the understanding of the complex interplay of context and individual predisposition in such studies of...
Springer, 2016. — 221 p. Algorithms for Automating Open-source Intelligence (OSINT) presents information on the gathering of information and extraction of actionable intelligence from openly available sources, including news broadcasts, public repositories, and more recently, social media. As OSINT has applications in crime fighting, state-based intelligence, and social...
New York: Springer, 2019. — 584 p. This book introduces basic computing skills designed for industry professionals without a strong computer science background. Written in an easily accessible manner, and accompanied by a user-friendly website, it serves as a self-study guide to survey data science and data engineering for those who aspire to start a computing career, or expand...
CRC Press, 2022. — 346 p. — (AK Peters Visualization Series). — ISBN: 978-0-367-54842-1. Mobile Data Visualization is about facilitating access to and understanding of data on mobile devices. Wearable trackers, mobile phones, and tablets are used by millions of people each day to read weather maps, financial charts, or personal health meters. What is required to create...
Springer, 2020. — 214 p. — ISBN: 3030244040. This edited book presents the scientific outcomes of the 4th IEEE/ACIS International Conference on Big Data, Cloud Computing, Data Science & Engineering (BCD 2019) which was held on May 29–31, 2019 in Honolulu, Hawaii. The aim of the conference was to bring together researchers and scientists, businessmen and entrepreneurs, teachers,...
Cham: Springer International Publishing, 2018. — 300 p. — ISBN: 978-3-319-90509-9. This book includes selected papers from the 13th IEEE International Conference on Multisensor Integration and Fusion for Intelligent Systems (MFI 2017) held in Daegu, Korea, November 16-22, 2017. It covers various topics, including sensor/actuator networks, distributed and cloud architectures,...
Cham: Springer International Publishing, 2018. — 300 p. — ISBN: 978-3-319-90509-9. This book includes selected papers from the 13th IEEE International Conference on Multisensor Integration and Fusion for Intelligent Systems (MFI 2017) held in Daegu, Korea, November 16-22, 2017. It covers various topics, including sensor/actuator networks, distributed and cloud architectures,...
O’Reilly Media, Inc., 2021. — 194 p. — ISBN: 978-1-098-10658-4. 2021-04-12: First Release With the rapid rise of graph databases, organizations are now implementing advanced analytics and machine learning solutions to help drive business outcomes. This practical guide shows data scientists, data engineers, architects, and business analysts how to get started with a graph...
Leanpub, 2016. — 82 p. — ASIN B01E0EON7W. The face of academia is changing. It is no longer sufficient to just publish or perish. We are now in an era where Twitter, Github, Figshare, and Alt Metrics are regular parts of the scientific workflow. Here I give high level advice about which tools to use, how to use them, and what to look out for. This book is appropriate for...
Leanpub book, 2015. — 98 p. — ASIN B00U6D80YY. Data analysis is at least as much art as it is science. This book is focused on the details of data analysis that sometimes fall through the cracks in traditional statistics classes and textbooks. It is based in part on the authors blog posts, lecture materials, and tutorials. The author is one of the co-developers of the Johns...
Cham: Springer, 2022. — 287 p. This monograph offers an original broad and very diverse exploration of the seriation domain in data analysis, together with building a specific relation to clustering. Relative to a data table crossing a set of objects and a set of descriptive attributes, the search for orders which correspond respectively to these two sets is formalized...
Springer-Verlag London, 2016. — 647 p. — (Advanced Information and Knowledge Processing). This book offers an original and broad exploration of the fundamental methods in Clustering and Combinatorial Data Analysis, presenting new formulations and ideas within this very active field. With extensive introductions, formal and mathematical developments and real case studies, this...
3rd. ed. - Cambridge: Cambridge University Press, 2020. - 566 p. - ISBN: 1108476341. Written by leading authorities in database and Web technologies, this book is essential reading for students and practitioners alike. The popularity of the Web and Internet commerce provides many extremely large datasets from which information can be gleaned by data mining. This book focuses on...
Stanford University, 2019. — 603 p. This book evolved from material developed over several years by Anand Rajaraman and Jeff Ullman for a one-quarter course at Stanford. The course CS345A, titled “Web Mining,” was designed as an advanced graduate course, although it has become accessible and interesting to advanced undergraduates. At the highest level of description, this book...
Morgan & Claypool, 2011. - 101 p. This book presents a survey on learning to rank and describes methods for learning to rank in detail. The major focus of the book is supervised learning for ranking creation. The book targets researchers and practitioners in information retrieval, natural language processing, machine learning, data mining, and other related fields. It assumes...
Springer, 2024. — 234 p. — (Machine Learning: Foundations, Methodologies, and Applications). — ISBN: 978-981-97-1024-9. The remarkable success of deep learning in the last decade has been largely driven by the availability of extensive labeled training data. However, most existing labeled datasets are designed for specific tasks, making it challenging for models trained on them...
ITexLi, 2024. — 110 p. — ISBN: 0850140617 9780850140613 0850140609 9780850140606 0850140625 9780850140620. This cutting-edge book brings together experts in the field to provide a multidimensional perspective on sentiment analysis, covering both foundational and advanced methodologies. Readers will gain insights into the latest natural language processing and machine learning...
Springer, 2017. - 224 p. - ASIN: B074QQH1N2 This book introduces the concepts and models of robust representation learning, and provides a set of solutions to deal with real-world data analytics tasks, such as clustering, classification, time series modeling, outlier detection, collaborative filtering, community detection, etc. Three types of robust feature representations are...
New York: Chapman and Hall/CRC, 2015. - 332 p. Event mining encompasses techniques for automatically and efficiently extracting valuable knowledge from historical event/log data. The field, therefore, plays an important role in data-driven system management. Event Mining: Algorithms and Applications presents state-of-the-art event mining approaches and applications with a focus...
N.-Y.: CRC Press, 2011. - 384 p. The research area of music information retrieval has gradually evolved to address the challenges of effectively accessing and interacting large collections of music and associated data, such as styles, artists, lyrics, and reviews. Bringing together an interdisciplinary array of top researchers, Music Data Mining presents a variety of approaches...
Singapore: Springer, 2016. - 649 p. The book showcases cutting-edge concepts and methods, and presents the principle of imprecise-information processing. It also proposes a new theory and technology for imprecise-information processing that differs from fuzzy technology, thus providing a platform for related applications and laying the theoretical basis for further research....
World Scientific – 2008, 820 p. ISBN: 981277985X The main goal of the new field of data mining is the analysis of large and complex datasets. Some very important datasets may be derived from business and industrial activities. This kind of data is known as enterprise data . The common characteristic of such datasets is that the analyst wishes to analyze them for the purpose of...
Edward Elgar Publishing Limited, 2021. — 257 p. — ISBN: 978-1-80037-061-6. Elgar Research Agendas outline the future of research in a given area. Leading scholars are given the space to explore their subject in provocative ways, and map out the potential directions of travel. They are relevant but also visionary. Leveraging the knowledge gained from knowledge management and the...
2nd Edition. — CRC Press, 2008. — 849 p. In the years since the bestselling first edition, fusion research and applications have adapted to service-oriented architectures and pushed the boundaries of situational modeling in human behavior, expanding into fields such as chemical and biological sensing, crisis management, and intelligent buildings. Handbook of Multisensor Data...
CRC Press, 2023. — 402 p. — (Chapman & Hall/CRC Data Science Series). — ISBN: 9780815354390. This book aims to increase the visibility of data science in the real-world, which differs from what you learn from a typical textbook. Many aspects of day-to-day data science work are almost absent from conventional statistics, machine learning, and data science curriculum. Yet these...
Springer, 2022. — 342 p. — ISBN: 978-3-662-56339-7. Based on the idea of a universal rule for problem-solving, the book suggests that the “System-Fuzzy Approach (SFA)” Model can be applied to various complex real-world problems. It is the first book for problem-solving complicated problems with a universal project management tool. Systematic searching is an essential step in...
Kluwer, 1997. — 428 p. The book is an edited collection of research chapters on the most recent developments in rough set theory and data mining. The chapters in this work cover a range of topics that focus on discovering dependencies among data, and reasoning about vague, uncertain and imprecise information. The authors of these chapters have been careful to include...
Springer-Verlag, Berlin, Heidelberg, 2002. — 538 p. — (Studies in Fuzziness and Soft Computing) — ISBN: 3790825085 During the past few years, data mining has grown rapidly in visibility and importance within information processing and decision analysis. This is particularly true in the realm of e-commerce, where data mining is moving from a "nice-to-have" to a "must-have"...
3nd revised and extended Edition . — Wiley 2011 The leading introductory book on Data Mining, fully updated and revised! When Berry and Linoff wrote the first edition of Data Mining Techniques in the late 1990s, data mining was just starting to move out of the lab and into the office and has since grown to become an indispensable tool of modern business. This new edition — more...
2nd Edition. — Wiley, 2016. — 795 p. — ISBN: 978-1-119-02143-8. A practical guide to data mining using SQL and Excel This book, 2nd Edition shows you how to leverage the two most popular tools for data query and analysis — SQL and Excel — to perform sophisticated data analysis without the need for complex and expensive data mining tools. Written by a leading expert on business...
Wiley, 2007. - 645 p., ISBN10: 0470099518 Leverage the power of SQL and Excel to perform business analysis. Three key efforts are essential to effectively transform data into actionable information: retrieving data with SQL, presenting data with Excel, and understanding statistics as the foundation of data analysis. Data mining expert Gordon Linoff focuses on these topics and...
Springer, 2024. — 160 p. — (Synthesis Lectures on Computer Science). — ISBN: 978-3-031-53746-2. This book goes beyond the current hype of expectations generated by the news on Artificial Intelligence and Machine Learning by analyzing realistic expectations for society, its limitations, and possible future scenarios for the use of this technology in our current society....
Springer, 2021. — 412 p. — ISBN: 978-3-030-58895-3. This book introduces the state-of-the-art algorithms for data and computation privacy. It mainly focuses on searchable symmetric encryption algorithms and privacy preserving multi-party computation algorithms. This book also introduces algorithms for breaking privacy, and gives intuition on how to design algorithm to counter...
Springer, 2015. — 127 p. — (Studies in Big Data 13). — ISBN: 3319236954, 9783319236957, 9783319236964 The ideas introduced in this book explore the relationships among rule based systems, machine learning and big data. Rule based systems are seen as a special type of expert systems, which can be built by using expert knowledge or learning from real data. The book focuses on the...
Chapman & Hall/CRC, 2008. — 397 p. It has been ten years since we published our first two books on feature selection in 1998. In the past decade, we witnessed a great expansion of feature selection research in multiple dimensions. We experienced the fast data evolution in which extremely high-dimensional data, such as high-throughput data of bioinformatics and Web/text data,...
Springer, 1998. — 418. There is broad interest in feature extraction, construction, and selection among practitioners from statistics, pattern recognition, and data mining to machine learning. Data preprocessing is an essential step in the knowledge discovery process for real-world applications. This book compiles contributions from many leading and active researchers in this...
Springer, 1998. — 225 p. As computer power grows and data collection technologies advance, a plethora of data is generated in almost every field where computers are used. The computer generated data should be analyzed by computers; without the aid of computing technologies, it is certain that huge amounts of data collected will not ever be examined, let alone be used to our...
Springer, 2017. — 333 p. — ISBN: 978-9811018404. This book inclusively and systematically presents the fundamental methods, models and techniques of practical application of grey data analysis, bringing together the authors’ many years of theoretical exploration, real-life application, and teaching. It also reflects the majority of recent theoretical and applied advances in the...
Springer, 2011, 285 p. Describes approaches to ranking information search results. Overview of Learning to Rank Major Approaches to Learning to Rank The Pointwise Approach The Pairwise Approach The Listwise Approach Analysis of the Approaches Advanced Topics in Learning to Rank Relational Ranking Query-Dependent Ranking Semi-supervised Ranking Transfer Ranking Benchmark...
Elsevier, 2023. — 300 p. — ISBN: 978-0-323-99562-7. Integrated Human-Machine Intelligence: Beyond Artificial Intelligence focuses on deep situational awareness in human-computer integration, covering the interaction and integration mechanisms of human intelligence, machine intelligence, and environmental systems. The book also details the cognitive, philosophical, social,...
CRC Press, 2015, -227 p. Computational Trust Models and Machine Learning provides a detailed introduction to the concept of trust and its application in various computer science areas, including multi-agent systems, online social networks, and communication systems. Identifying trust modeling challenges that cannot be addressed by traditional approaches, this book: Explains how...
Springer, 2022. — 347 p. — ISBN: 978-3-030-74385-7. Tensor is a natural representation for multi-dimensional data, and tensor computation can avoid possible multi-linear data structure loss in classical matrix computation-based data analysis. This book is intended to provide non-specialists an overall understanding of tensor computation and its applications in data analysis,...
Academic Press, Elsevier, 2022. — 598 p. — ISBN: 978-0-12-824447-0. Tensors for Data Processing: Theory, Methods and Applications presents both classical and state-of-the-art methods on tensor computation for data processing, covering computation theories, processing methods, computing and engineering applications, with an emphasis on techniques for data processing. This...
Academic Press, Elsevier, 2022. — 598 p. — ISBN: 978-0-12-824447-0. Tensors for Data Processing: Theory, Methods, and Applications presents both classical and state-of-the-art methods on tensor computation for data processing, covering computation theories, processing methods, computing, and engineering applications, with an emphasis on techniques for data processing. This...
Wiley, 2009. — 358 p. — ISBN: 0470851538. Inspired by the author's need for practical guidance in the processes of data analysis, A Practical Guide to Scientific Data Analysis has been written as a statistical companion for the working scientist. This handbook of data analysis with worked examples focuses on the application of mathematical and statistical techniques and the...
CRC Press, 2011. — 450 p. Data mining and machine learning techniques have been used to learn models of software behavior. These models appear in various forms following different formalisms of software specifications, each capturing different aspects of a software system. The mined models can later be tuned, adapted, and used for various purposes. Mined models help in...
2nd edition. — Red Globe Press, 2020. — 250 p. — ISBN: 978-1352007817. Assuming no prior knowledge, this text provides a concise, practical, and accessible introduction to using, analyzing, and interpreting statistics and methodologies in empirical work using R or JASP. It takes an activity-based approach, in which students are first stimulated to consider a problem or question...
2nd edition. — Red Globe Press, 2020. — 250 p. — ISBN: 978-1352007817. Assuming no prior knowledge, this text provides a concise, practical, and accessible introduction to using, analyzing, and interpreting statistics and methodologies in empirical work using R or JASP. It takes an activity-based approach, in which students are first stimulated to consider a problem or question...
Independently published, 2021. — 217 p. — ISBN: B094J1GZBM. This publication introduces a visual tool that provides its users with an option to acquire, modify, transform, combine, and visualize data automatically, without the need for programming. The publication consists of 20 practical examples, using which the readers are gradually introduced to the attractive topic of...
Chapman & Hall/CRC Press, 2010. — 195 p. The authors of this book have been actively working on the topic of relational data clustering for years, and this book is the final culmination of their years of long research on this topic. This book may be used as a collection of research notes for researchers interested in the research on this topic, a reference book for...
Springer, 2018. — 266 p. — (Springer Series in Materials Science 280). — ISBN: 978-3-319-99464-2. This book addresses the current status, challenges and future directions of data-driven materials discovery and design. It presents the analysis and learning from data as a key theme in many science and cyber related applications. The challenging open questions as well as future...
Wiley, 2014. — 322 p. — ISBN: 9781118847350 Grasp how mobile, big data, and analytics are combining to change business processes Right Experience, Right Results: Improving Profits, Margin, and Engagement with Mobile and Big Data illustrates how businesses can use mobility, big data, and analytics to enhance or change business processes, improve margins through better insight,...
Elsevier, 2021. — 476 p. — ISBN: 0128168188. Highway Safety Analytics and Modeling covers the key elements needed for making effective transportation engineering and policy decisions based on highway crash data analysis. It covers all aspects of the decision-making process, from collecting and assembling data to making decisions based on the results of the analyses. The book...
Springer, 2022. — 329 p. — (International Series in Operations Research & Management Science 318). — ISBN: 978-3-030-93985-4. This book introduces methods for identifying and evaluating alternative plans and policies that address public sector issues and problems. This is not a book on the analysis of policy-making processes but rather methods of analyzing the plans and...
MIT Press, 2019. — 272 p. — ISBN: 978-0262039666. How to analyze data settings rather than data sets, acknowledging the meaning-making power of the local. In our data-driven society, it is too easy to assume the transparency of data. Instead, Yanni Loukissas argues in All Data Are Local, we should approach data sets with an awareness that data are created by humans and their...
MIT Press, 2019. — 272 p. — ISBN: 978-0262039666. How to analyze data settings rather than data sets, acknowledging the meaning-making power of the local. In our data-driven society, it is too easy to assume the transparency of data. Instead, Yanni Loukissas argues in All Data Are Local, we should approach data sets with an awareness that data are created by humans and their...
Wiley, 2017. — 209 p. — (Wiley and SAS business series). — ISBN: 9781119362517, 1119362512, 9781119362548, 1119362547, 9781119362852, 1119362857. A Practical Guide to Analytics for Governments provides demonstrations of real-world analytics applications for legislators, policy-makers, and support staff at the federal, state, and local levels. Big data and analytics are...
CRC Press, 2014, -275 p. Due to advances in sensor, storage, and networking technologies, data is being generated on a daily basis at an ever-increasing pace in a wide range of applications, including cloud computing, mobile Internet, and medical imaging. This large multidimensional data requires more efficient dimensionality reduction schemes than the traditional techniques....
Sebastopol: O’Reilly Media, 2017. — 104 p. Machine learning is certainly one of the hottest topics in software engineering today, but one aspect of this field demands more attention: how to serve models that have been trained. Typically, two different groups are responsible for model training and model serving. Data scientists often introduce their own machine-learning tools,...
IGI Global, 2018. — 399 p. — (Advances in Web Technologies and Engineering). — ISBN: 978-1522571865. Continual advancements in web technology have highlighted the need for formatted systems that computers can utilize to easily read and sift through the hundreds of thousands of data points across the internet. Therefore, having the most relevant data in the least amount of time...
Information Science Reference, 2016. — 334 p. — ISBN: 9781466698352. Cloud computing has proven to be a successful paradigm of service-oriented computing, and has revolutionized the way computing infrastructures are abstracted and used. By means of cloud computing technology, massive data can be managed effectively and efficiently to support various aspects of problem solving...
SAGE Publications, 2017. — 336 p. Many professional, high-quality surveys collect data on people's behaviour, experiences, lifestyles and attitudes. The data they produce is more accessible than ever before. This book provides students with a comprehensive introduction to using this data, as well as transactional data and big data sources, in their own research projects. Here...
London: SAGE Publications, 2017. — 336 p. — ISBN: 978-1-4462-8576-3. Many professional, high-quality surveys collect data on people's behaviour, experiences, lifestyles and attitudes. The data they produce is more accessible than ever before. This book provides students with a comprehensive introduction to using this data, as well as transactional data and big data sources, in...
Wiley Publishing, 2009, 676 p. Book Description Microsoft SQL Server 2008 is the third version of SQL Server that ships with included data mining technology. Since it was introduced in SQL Server 2000, data mining has become a key feature of the larger product. Data mining has grown from an isolated part of SQL Server Analysis Services with two algorithms, to an intrinsic part...
Mercury Learning and Information, 2022. — 171 p. This book is designed to introduce the concepts of data science to professionals in engineering, physics, mathematics, and allied fields. It is a workbook with MatLAB code that creates a common framework and points out various interconnections related to the industry. This will allow the reader to connect previous subject...
ISTE / John Wiley, 2016. — 187. The energy performance in buildings is influenced by many factors, such as ambient weather conditions, building structure and characteristics, occupants and their behaviors, operation of sublevel components like heating, ventilation and air-conditioning systems. These complex properties make the prediction, analysis or fault detection/diagnosis...
Oxford University Press, 2021. — 414 p. — ISBN: 9780192897879 (hbk.), ISBN: 9780192897886 (pbk.) This book was developed to give readers an introduction to the practical side of game data science. Before we discuss what that means, let’s delve a bit deeper into what “game data science” means. Game data science is a term that we use to denote a process composed of methods and...
Wiley-Scrivener, 2025. — 460 p. — ISBN: 978-1-394-31437-9. The book offers cutting-edge insights and practical applications for Edge AI, making it essential for anyone looking to stay ahead in the rapidly evolving landscape of Artificial Intelligence (AI) and Edge computing. Edge of Intelligence: Exploring the Frontiers of AI at the Edge examines the transformative potential of...
Springer, 2023. — 137 p. his book discusses the best research roadmaps, strategies, and challenges in the data-centric approach of Artificial Intelligence (AI) in various domains. It presents comparative studies of model-centric and data-centric AI. It also highlights different phases in the data-centric approach and data-centric principles. The book presents prominent use...
Springer, 2022. – 125 p. – (Studies in Big Data 94). – ISBN: 978-981-16-5159-5. The book Foundations of Data Science for Engineering Problem Solving is envisioned to present a detailed and comprehensive overview of Data Science foundations including Data Science evolution, data collection, preparation, analysis of data using Machine Learning (ML) algorithm, data visualization...
Boca Raton: CRC Press, 2024. — 309 p. This book explores the need for a Data-Centric Artificial Intelligence (AI) approach and its application in the multidisciplinary domain, compared to a model-centric approach. It examines the methodologies for data-centric approaches, and the use of data. centric approaches in different domains, the need for edge AI, and how it differs from...
Springer, 2016. — 332 p. — ISBN10: 3319318594. Reviews the latest research and practice in data science and big data; Discusses tools and techniques for big data storage and analytics; Describes the frameworks relevant to data science, and their application. This illuminating text/reference surveys the state of the art in data science, and provides practical guidance on big...
Springer, 2001. — 170 p. This book presents a specific and unified approach to Knowledge Discovery and Data Mining, termed IFN for Information Fuzzy Network methodology. Data Mining (DM) is the science of modeling and generalizing common patterns from large sets of multi-type data. DM is part of KDD, which is the overall process for Knowledge Discovery Databases. The...
2nd edition. — Springer Science+Business Media, 2010. — 1285 p. ISBN: 978-0-387-09822-7 Knowledge Discovery demonstrates intelligent computing at its best, and is the most desirable and interesting end-product of Information Technology. To be able to discover and to extract knowledge from data is a task that many researchers and practitioners are endeavoring to accomplish....
World Scientific, 2005. — 345 p. Data mining is the science and technology of exploring data in order to discover previously unknown patterns. It is a part of the overall process of knowledge discovery in databases (KDD). The accessibility and abundance of information today makes data mining a matter of considerable importance and necessity. One of the most practical approaches...
Springer, 2007. — 431. The information age has made it easy to store large amounts of data. Data mining is a new and exciting field that tries to solve the crisis of information overload by exploring large and complex bodies of data in order to discover useful patterns. It is extreme importance because it enables modeling and knowledge extraction from abundance data...
Springer, 2014. — 473 p. — ISBN: 331904155X, 9783319041551 This book presents a novel approach to database concepts, describing a categorical logic for database schema mapping based on views, within a framework for database integration/exchange and peer-to-peer. Database mappings, database programming languages, and denotational and operational semantics are discussed in depth....
De Gruyter, 2022. — 542 p. — ISBN: 9783110981438. This book introduces the properties of conservative extensions of First Order Logic (FOL) to new Intensional First Order Logic (IFOL). This extension allows for intensional semantics to be used for concepts, thus affording new and more intelligent IT systems. Insofar as it is conservative, it preserves software applications and...
Academic Press, 2021. — 272 p. — ISBN: 978-0323855105. Intelligent Data-Analytics for Condition Monitoring: Smart Grid Applications looks at intelligent and meaningful uses of data required for an optimized, efficient engineering processes. In addition, the book provides application perspectives of various deep learning models for the condition monitoring of electrical...
Boca Raton: CRC Press, 2024. — 243 p. The text discusses the techniques of Deep Learning and Machine Learning in the field of neuroscience, engineering approaches to study the brain structure and dynamics, convolutional networks for fast, energy-efficient neuromorphic computing, and reinforcement learning in feedback control. It showcases case studies in neural data analysis....
Apple Academic Press/CRC Press, 2025. — 351 p. — ISBN: 978-1-77491-722-0. Most businesses today are embracing digital transformation and automation, deploying the processes of data analytics in combination with advanced technologies for customer retention using such techniques as marketing automation, digital marketing, Machine Learning (ML), blockchain, Generative AI, and...
Packt Publishing, 2019. — 387 p. — ISBN: 978-1-78980-735-6. Take your first steps to become a fully qualified data analyst by learning how to explore large relational datasets. Understanding and finding patterns in data has become one of the most important ways to improve business decisions. If you know the basics of SQL, but don’t know how to use it to gain business insights...
Packt Publishing, 2019. — 352 p. — ISBN: 978-1-78980-735-6. Take your first steps to become a fully qualified data analyst by learning how to explore large relational datasets. Understanding and finding patterns in data has become one of the most important ways to improve business decisions. If you know the basics of SQL, but don’t know how to use it to gain business insights...
Packt Publishing, 2019. — 352 p. — ISBN: 978-1-78980-735-6. Take your first steps to become a fully qualified data analyst by learning how to explore large relational datasets. Understanding and finding patterns in data has become one of the most important ways to improve business decisions. If you know the basics of SQL, but don’t know how to use it to gain business insights...
Packt Publishing, 2019. — 352 p. — ISBN: 978-1-78980-735-6. Take your first steps to become a fully qualified data analyst by learning how to explore large relational datasets. Understanding and finding patterns in data has become one of the most important ways to improve business decisions. If you know the basics of SQL, but don’t know how to use it to gain business insights...
Springer, 2006. — 210 p. — ISBN: 184628029X, 978-1846280290. "Machine Learning and Data Mining for Computer Security" provides an overview of the current state of research in machine learning and data mining as it applies to problems in computer security. This book has a strong focus on information processing and combines and extends results from computer security. The first...
Springer, 2008. - 330 p. ISBN: 0387743669 This book brings together the latest research achievements from signal processing and related disciplines, consolidating existing and proposed directions in DSP-based knowledge extraction and information fusion. The book includes contributions presenting both novel algorithms and existing applications, emphasizing on-line processing of...
Springer, 2019. — 740 p. — (Trends in Mathematics). — ISBN: 3030011615. This unique collection of research papers offers a comprehensive and up-to-date guide to algebraic approaches to rough sets and reasoning with vagueness. It bridges important gaps, outlines intriguing future research directions, and connects algebraic approaches to rough sets with those for other forms of...
Springer, 2024. — 146 p. This book explores the connections between qualitative data reuse, big social research, and data curation. A review of existing literature identifies the key issues of context, data quality and trustworthiness, data comparability, informed consent, privacy and confidentiality, and intellectual property and data ownership. Through interviews with...
The MIT Press, 2020. — 332 p. — ISBN: 9780262037105. A book at the intersection of data science and media studies, presenting concepts and methods for computational analysis of cultural data. How can we see a billion images? What analytical methods can we bring to bear on the astonishing scale of digital culture-the billions of photographs shared on social media every day, the...
Cambridge: Cambridge University Press, 2023. — 279 p. Transformation of the Earth's social and ecological systems is occurring at a rate and magnitude unparalleled in human experience. Data Science is a revolutionary new way to understand human-environment relationships at the heart of pressing challenges like climate change and sustainable development. However, data science...
InTech, 2011, -504 p. Search algorithms aim to find solutions or objects with specified properties and constraints in a large solution search space or among a collection of objects. A solution can be a set of value assignments to variables that will satisfy the constraints or a substructure of a given discrete structure. In addition, there are search algorithms, mostly...
Wiley, 2021. — 352 p. — ISBN: 9781119763239. A comprehensive review of the key emerging technologies that will directly impact areas of computer technology over the next five years. Infrastructure edge computing is the model of data center and network infrastructure deployment that distributes a large number of physically small data centers around an area to deliver better...
Indianapolis: Wiley, 2004. - 483 p. This book is a follow up to Building and Managing the Meta Data Repository (Wiley, 2000). All too often, the meta data repository is mistaken for the complete meta data management solution; however, this is not the case. The MME is the complete enterprise meta data management solution, of which a meta data repository is one six MME...
Wiley, 2004. — 456 p. The heart of the book provides the complete set of models that will support most of an organization's core business functions, including universal meta models for enterprise-wide systems, business meta data and data stewardship, portfolio management, business rules, and XML, messaging, and transactions
Wiley, 2022. — 403 p. — ISBN: 9781119674689. Data Science in Theory and Practice delivers a comprehensive treatment of the mathematical and statistical models useful for analyzing data sets arising in various disciplines, like banking, finance, health care, bioinformatics, security, education, and social services. Written in five parts, the book examines some of the most...
Springer, 2020. - 391 p. - ISBN: 3030512215 The peer-reviewed contributions gathered in this book address methods, software and applications of statistics and data science in the social sciences. The data revolution in social science research has not only produced new business models, but has also provided policymakers with better decision-making support tools. In this volume,...
Manning, 2016. — 325 p. — ISBN: 978-1617292583. There’s priceless insight trapped in the flood of data users leave behind as they interact with web pages and applications. Those insights can be unlocked by using intelligent algorithms like the ones that have earned Facebook, Google, Twitter, and Microsoft a place among the giants of web data pattern extraction. Improved search,...
Wiley, 2016. — 320 p. — ISBN: 978-1-119-23138-7. The best-selling author of Big Data is back, this time with a unique and in-depth insight into how specific companies use big data. Big data is on the tip of everyone’s tongue. Everyone understands its power and importance, but many fail to grasp the actionable steps and resources required to utilise it effectively. This book...
Kogan Page, 2017. — 200 p. — ISBN: 978-0-7494-7985-5. Less than 0.5 per cent of all data is currently analysed and used. However, business leaders and managers cannot afford to be unconcerned or sceptical about data. Data is revolutionizing the way we work and it is the companies that view data as a strategic asset that will survive and thrive. Bernard Marr's Data Strategy is a...
CRC Press, Taylor & Francis Group, LLC, 2022. — 437 p. — (Monographs on Statistics and Applied Probability). — ISBN: 978-0-8153-9282-8. Object-Oriented Data Analysis is a framework that facilitates inter-disciplinary research through new terminology for discussing the often many possible approaches to the analysis of complex data. Such data are naturally arising in a wide...
Boca Raton: CRC Press, Taylor & Francis Group, LLC, 2022. — 437 p. Object-Oriented Data Analysis is a framework that facilitates inter-disciplinary research through new terminology for discussing the often many possible approaches to the analysis of complex data. Such data are naturally arising in a wide variety of areas. This book aims to provide ways of thinking that enable...
Apress, 2015. - 340 p. Practical Graph Analytics with Apache Giraph helps you build data mining and machine learning applications using the Apache Foundation's Giraph framework for graph processing. This is the same framework as used by Facebook, Google, and other social media analytics operations to derive business value from vast amounts of interconnected data points. Graphs...
Apress, 2024. — 366 p. — ISBN-13 979-8-8688-0514-1. This book offers you a hands-on experience using models from OpenAI and the Hugging Face library. You will use various tools and work on small projects, gradually applying the new knowledge you gain. The book is divided into three parts. Part one covers techniques and libraries. Here, you'll explore different techniques...
Information Science Reference, 2008. — 386 p. The problem of mining patterns is becoming a very active research area and efficient techniques have been widely applied to problems in industry, government, and science. From the initial definition and motivated by real-applications, the problem of mining patterns not only addresses the finding of itemsets but also more and more...
Springer, 2020. — 131 p. — ISBN: 303056830X. This book introduces the basic methodologies for successful data analytics. Matrix optimization and approximation are explained in detail and extensively applied to dimensionality reduction by principal component analysis and multidimensional scaling. Diffusion maps and spectral clustering are derived as powerful tools. The...
New York: Nova Science Publishers, Inc., 2021. — 344 p. — (Computer Science, Technology and Applications). — ISBN: 978-1-68507-047-2. Today, the financial services sector is facing a period of rapid disruption and innovation, and artificial intelligence (AI) is at the heart of these changes. Artificial intelligence can be used to gather enormous amounts of data, detect...
Boca Raton: CRC Press, 2019. — 444 p. — (Chapman & Hall/CRC Data Science Series). — ISBN: 036726093X. Probability and Statistics for Data Science: Math + R + Data covers "math stat"―distributions, expected value, estimation etc.―but takes the phrase "Data Science" in the title quite seriously: Real datasets are used extensively . All data analysis is supported by R coding....
CRC Press, 2023. — 327 p. — (Chapman & Hall/CRC Data Science Series). — ISBN: 1032457554. Successfully navigating the data-driven economy presupposes a certain understanding of the technologies and methods to gain insights from Big Data. This book aims to help data science practitioners to successfully manage the transition to Big Data. Building on familiar content from applied...
Artech House, 1997. — 273 p. A telecommunications-specific guide to data warehousing and mining, this work offers step-by-step directions for designing and delivering data warehousing and mining applications, using a number of case studies and real-world examples.
Springer, 2017. — 381 p. — (Studies in Big Data 22). — ISBN: 331945143X, 9783319451435 This book reports on the latest advances on the theories, practices, standards and strategies that are related to the modern technology paradigms, the Mobile Cloud computing (MCC) and Big Data, as the pillars and their association with the emerging 5G mobile networks. The book includes 15...
Springer, 2010, -248 p. Over the last years, ubiquitous computing has started to create a new world of small, heterogeneous, and distributed devices that have the ability to sense, to communicate and interact in ad hoc or sensor networks and peer-to-peer systems. These large-scale distributed systems, in many cases, have to interact in real-time with their users. Knowledge...
Morgan Kaufmann, 2007. — 496 p. — ISBN: 978-0123704801, 0123704804. 3rd Edition. Traditionally, networking has had little or no basis in analysis or architectural development, with designers relying on technologies they are most familiar with or being influenced by vendors or consultants. However, the landscape of networking has changed so that network services have now become...
Morgan Kaufmann, 2007. — 496 p. — ISBN: 978-0123704801, 0123704804. 3rd Edition. Traditionally, networking has had little or no basis in analysis or architectural development, with designers relying on technologies they are most familiar with or being influenced by vendors or consultants. However, the landscape of networking has changed so that network services have now become...
Morgan Kaufmann, 2007. — 496 p. — ISBN: 978-0123704801, 0123704804. 3rd Edition. Traditionally, networking has had little or no basis in analysis or architectural development, with designers relying on technologies they are most familiar with or being influenced by vendors or consultants. However, the landscape of networking has changed so that network services have now become...
Morgan Kaufmann, 2007. — 496 p. — ISBN: 978-0123704801, 0123704804. 3rd Edition. Traditionally, networking has had little or no basis in analysis or architectural development, with designers relying on technologies they are most familiar with or being influenced by vendors or consultants. However, the landscape of networking has changed so that network services have now become...
Morgan Kaufmann, 2007. — 496 p. — ISBN: 978-0123704801, 0123704804. 3rd Edition. Traditionally, networking has had little or no basis in analysis or architectural development, with designers relying on technologies they are most familiar with or being influenced by vendors or consultants. However, the landscape of networking has changed so that network services have now become...
New York: Springer, 2019. — 209 p. This textbook presents a practical approach to predictive analytics for classroom learning. It focuses on using analytics to solve business problems and compares several different modeling techniques, all explained from examples using the SAS Enterprise Miner software. The authors demystify complex algorithms to show how they can be utilized...
2nd edition. — Springer, 2022. — 282 p. — ISBN: 978-3-030-83069-4. The new edition of this textbook presents a practical, updated approach to predictive analytics for classroom learning. The authors focus on using analytics to solve business problems and compare several different modeling techniques, all explained from examples using the SAS Enterprise Miner software. The...
London, UK: The Royal Society of Chemistry, 2019. — 660 p. — ISBN: 178801281X. Data integrity is the hottest topic in the pharmaceutical industry. Global regulatory agencies have issued guidance, after guidance after guidance in the past few years, most of which does not offer practical advice on how to implement policies, procedures and processes to ensure integrity. These...
2nd edition. — Academic Press, 2021. — 378 p. — ISBN: 978-0-12-818015-0. Executing Data Quality Projects, Second Edition presents a structured yet flexible approach for creating, improving, sustaining and managing the quality of data and information within any organization. Studies show that data quality problems are costing businesses billions of dollars each year, with poor...
CRC Press, 2023. — 351 p. — ISBN: 9781032136738. Taking Intelligence to the Next Level: Advanced Intelligence Analysis Methodologies Using Real-World Business, Crime, Military, and Terrorism Examples examines intelligence gathering and analysis and the significance of these programs. Coverage assumes a basic understanding of the intelligence cycle and processes, and the book...
2nd Edition. — Wiley, 2008. — 400 p. — (Wiley Series in Probability and Statistics). — ISBN: 978-0-471-20170-0. The only single-source — —now completely updated and revised — —to offer a unified treatment of the theory, methodology, and applications of the EM algorithm omplete with updates that capture developments from the past decade, The EM Algorithm and Extensions, Second...
Wiley-Interscience, 1997. — 304 p. — (Wiley Series in Probability and Statistics). This book presents an organized and well-knit account of the theory, methodology, extensions, and major applications of the Expectation-Maximization (EM) algorithm. It includes applications in the standard statistical contexts such as regression, factor analysis, variance components estimation,...
Preface xi. Forecasting, Classification, and Dimensionality. Reduction. Synergies. The Interface Problems. Plan of the Book. Econometric Foundations. What Are Neural Networks? Linear Regression Model. GARCH NonlinearModels. Model Typology. What Is A Neural Network? Feedforward Networks. Neural Network Smooth-Transition Regime Switching. Models. Nonlinear Principal Components:...
3rd ed. — Wiley-IEEE Press, 2020. — 661 p. — ISBN: 1119516048, 9781119516040. Presents the latest techniques for analyzing and extracting information from large amounts of data in high-dimensional data spaces. The revised and updated third edition ofData Miningcontains in one volume an introduction to a systematic approach to the analysis of large data sets that integrates...
Springer Vieweg, 2016. — 250 p. — ISBN10: 3658157275. — ISBN13: 978-3658157272. Philipp Meisen introduces a model, a query language, and a similarity measure enabling users to analyze time interval data. The introduced tools are combined to design and realize an information system. The presented system is capable of performing analytical tasks (avoiding any type of...
Routledge, 2021. — 309 p. — ISBN: 978-0-367-36913-2. Data, Matter, Design presents a comprehensive overview of current design processes that rely on the input of data and use of computational design strategies, and their relationship to an array of outputs. Technological changes, through the use of computational tools and processes, have radically altered and influenced our...
Springer, 2013. — 341 p. We describe in this book the application of soft computing techniques for intelligent control, pattern recognition, and optimization of complex problems. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and bio-inspired optimization algorithms, which can be used to produce powerful hybrid...
Boca Raton: CRC Press, 2019. — 344 p. — ISBN: 9780367208615. The aim of this book is to provide an internationally respected collection of scientific research methods, technologies and applications in the area of data science . This book can prove useful to the researchers, professors, research students and practitioners as it reports novel research work on challenging topics...
3rd Edition. — Academic Press, 2022. — 466 p. — ISBN: 9780323955775. Environmental Data Analysis with MatLAB, Third Edition, is a new edition that expands fundamentally on the original with an expanded tutorial approach, more clear organization, new crib sheets, and problem sets providing a clear learning path for students and researchers working to analyze real data sets in...
Morgan Kaufmann, 2016. — 408 p. — ISBN: 0128042060, 9780128042069, 9780128042618, 0128042613. Perspectives on Data Science for Software Engineering presents the best practices of seasoned data miners in software engineering. The idea for this book was created during the 2014 conference at Dagstuhl, an invitation-only gathering of leading computer scientists who meet to identify...
Springer, 2004. — 335 p. Data mining from traditional relational databases as well as from non-traditional ones such as semi-structured data, Web data, and scientific databases housing biological, linguistic, and sensor data has recently become a popular way of discovering hidden knowledge. This book on database support for data mining is developed to approaches exploiting the...
Packt Publishing, 2024. — 198 p. Key Features: Explore some of the best open-source intelligence tools such as Maltego, Shodan, and Aircrack-ng. Develop an OSINT-driven threat intelligence program to mitigate cyber risks. Leverage the power of information through OSINT with real-world case studies. Book Description: The rapid expansion of IT and digital businesses has brought...
Springer, 2017. — 170 p. — ISBN: 9783319426990 This book offers postgraduate and early career researchers in accounting and information systems a guide to choosing, executing and reporting appropriate data analysis methods to answer their research questions. It provides readers with a basic understanding of the steps that each method involves, and of the facets of the analysis...
Birmingham: Packt Publishing, 2024. — 246 p. — ISBN: 1835463703. Unlock the power of GenAI by effortlessly linking your C# and Python apps with cutting-edge models, orchestrating diverse AI services with finesse, and crafting bespoke applications through immersive, real-world examples. Key Features Link your C# and Python applications with the latest AI models from OpenAI....
O’Reilly Media, 2016. — 65 p. — ISBN: 978-1-491-92840-0. You have a mound of data sitting in front of you and a suite of computation tools at your disposal. And yet, you're stumped as to how to turn that data into insight. Which part of that data actually matters, and where is this insight hidden? If you're a data scientist who struggles to navigate the murky space between data...
Packt Publishing, 2023. — 188 p. Key Features Learn to design Data Fabric architecture effectively with your choice of tool. Build and use a Data Fabric solution using DataOps and Data Mesh frameworks. Find out how to build Data Integration, Data Governance, and Self-Service analytics architecture. Book Description The book begins by introducing you to Data Fabric architecture,...
2nd edition. — CRC Press, 2009. — 461 p. In March 1999, the National Center for Geographic Information and Analysis (NCGIA) — Project Varenius held a workshop on discovering geographic knowledge in data-rich environments in Kirkland, Washington, USA. The workshop brought together a diverse group of stakeholders with interests in developing and applying computational techniques...
Packt, 2016. — 243 p. — ISBN: 978-1-78588-077-3. Today, only a small portion of businesses actually use a real analytical tool as part of routine decision making. IBM Watson Analytics is changing that making the most advanced and predictive analytical techniques understandable and usable for any industry. This book will be the vital tour guide for your trip, starting with what...
Pearson Education, 2015. — 478 p. — ISBN: 978-0-13-388655-9. Now, a leader of Northwestern University's prestigious analytics program presents a fully integrated treatment of both the business and academic elements of marketing applications in predictive analytics. Writing for both managers and students, Thomas W. Miller explains essential concepts, principles, and theory in...
Pearson, 2015. — 480 p. — ISBN: 978-0133886559. Now, a leader of Northwestern University's prestigious analytics program presents a fully-integrated treatment of both the business and academic elements of marketing applications in predictive analytics. Writing for both managers and students, Thomas W. Miller explains essential concepts, principles, and theory in the context of...
Pearson, 2015. — 448 p. — ISBN: 978-9353065737. Master predictive analytics, from start to finish. Start with strategy and management. Master methods and build models. Transform your models into highly effective code — in both Python and R. This one-of-a-kind book will help you use predictive analytics, Python, and R to solve real business problems and drive real competitive...
Pearson, 2015. — 448 p. — ISBN: 978-9353065737. Today, successful firms win by understanding their data more deeply than competitors do. They compete based on analytics. In Modeling Techniques in Predictive Analytics, the Python edition, the leader of Northwestern University’s prestigious analytics program brings together all the up-to-date concepts, techniques, and Python code...
World Scientific Publishing, 2024. — 403 p. This book is a beginner-friendly guide to Artificial Intelligence (AI), ideal for those with no technical background. It introduces AI, Machine Learning, and Deep Learning basics, focusing on no-code methods for easy understanding. The book also covers data science, data mining, and big data processing, maintaining a no-code approach...
Academic, 2012 — 1000 p. Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications brings together all the information, tools and methods a professional will need to efficiently use text mining applications and statistical analysis. Winner of a 2012 PROSE Award in Computing and Information Sciences from the Association of American Publishers, this...
Productivity Press, 2023. — 266 p. — ISBN: 978-0-367-35970-6. Professionals are challenged each day by a changing landscape of technology and terminology. In recent history, especially in the last 25 years, there has been an explosion of terms and methods born that automate and improve decision-making and operations. One term called Analytics is an overarching description of a...
CRC Press, 2023. — 300 p. — (Data Science Series). This book is a timely and critical introduction for those interested in what Data Science is (and isn’t), and how it should be applied. The language is conversational and the content is accessible for readers without a quantitative or computational background; but, at the same time, it is also a practical overview of the field...
Taylor & Francis Group, LLC, 2005. — 277 p. — ISBN: 1-58488-534-3. Computer science and data analysis series. Mirkin, B. G. (Boris Grigorévich). List of Denotations Introduction Historical Remarks What Is Clustering Base words Exemplary problems Structuring Description Association Generalization Visualization of data structure Birds eye view Definition data and cluster...
2nd ed. — Springer, 2019. — 524 p. — ISBN: 3030002705. This text examines the goals of data analysis with respect to enhancing knowledge, and identifies data summarization and correlation analysis as the core issues. Data summarization, both quantitative and categorical, is treated within the encoder-decoder paradigm bringing forward a number of mathematically supported...
Springer – 2011, 410 p. ISBN: 0857292862, 9780857292865 Core Concepts in Data Analysis: Summarization, Correlation and Visualization provides in-depth descriptions of those data analysis approaches that either summarize data (principal component analysis and clustering, including hierarchical and network clustering) or correlate different aspects of data (decision trees, linear...
This book presents an in-depth description of main data analysis methods: 1D summarization, 2D analysis, popular classifiers such as naïve Bayes and linear discriminant analysis, regression and neuron nets, Principal component analysis and its derivates, K-Means clustering and its extensions, hierarchical clustering, and network clustering including additive and spectral methods.
Springer, 2016. — 199 p. — (Studies in Big Studies in Big 17). — ISBN: 9783319275185, 9783319275208 This volume is aiming at a wide range of readers and researchers in the area of Big Data by presenting the recent advances in the fields of Big Data Analysis, as well as the techniques and tools used to analyze it. The book includes 10 distinct chapters providing a concise...
Springer, 2023. — 521 p. — (Springer Proceedings in Mathematics & Statistics). With the intriguing development of technologies in several industries along with the advent of accrescent and ubiquitous computational resources, it creates an ample number of opportunities to develop innovative intelligence technologies to solve the wide range of uncertainties, imprecision, and...
Introduction to Data Mining Soft Computing Multimedia Data Compression String Matching Classification in Data Mining Clastering in Data Mining Association Rules Rule Mining with Soft Computing Multimedia Data Mining Bioinformatics: An Application
Wiley-Interscience, 2003 — 424 p. — ISBN10: 0471460540, ISBN13: 978-0471460541. A primer on traditional hard and emerging soft computing approaches for mining multimedia data While the digital revolution has made huge volumes of high dimensional multimedia data available, it has also challenged users to extract the information they seek from heretofore unthinkably huge...
Chapman and Hall/CRC, 2010. — 395 p. — ISBN: 1420089765, 978-1420089769 Temporal data mining deals with the harvesting of useful information from temporal data. New initiatives in health care and business organizations have increased the importance of temporal information in data today. From basic data mining concepts to state-of-the-art advances, Temporal Data Mining covers...
Springer, 2008. — 244 p. — ISBN: 3540787364, 9783540787365 The main subject of this book is the fuzzy c-means proposed by Dunn and Bezdek and their variations including recent studies. A main reason why we concentrate on fuzzy c-means is that most methodology and application studies in fuzzy clustering use fuzzy c-means, and hence fuzzy c-means should be considered to be a...
CRC Press, 2017. — 226 p. — ISBN: 978-1498705387 True PDF Machine learning, one of the top emerging sciences, has an extremely broad range of applications. However, many books on the subject provide only a theoretical approach, making it difficult for a newcomer to grasp the subject material. This book provides a more practical approach by explaining the concepts of machine...
CRC Press, 2017. — 274. This book focuses on the supervised and unsupervised machine learning methods. The main objective of this book is to introduce these methods in a simple and practical way, so that they can be understood even by beginners to get benefit from them. In each chapter, we discuss the algorithms through which the chapter methods work, and implement the...
Wiley-Scrivener, 2023. — 363 p. — ISBN: 978-1-119-86492-9. This book comprehensively explains how to use various fuzzy-based models to solve real-time industrial challenges. The book provides information about fundamental aspects of the field and explores the myriad applications of fuzzy logic techniques and methods. It presents basic conceptual considerations and case studies...
CRC Press, 2018. — 450 p. — ISBN: 113850081X. Large data sets arriving at every increasing speeds require a new set of efficient data analysis techniques. Data analytics are becoming an essential component for every organization and technologies such as health care, financial trading, Internet of Things, Smart Cities or Cyber Physical Systems. However, these diverse application...
Springer, 2018. — 243 p. — (Studies in Classification, Data Analysis, and Knowledge Organization). — ISBN: 9783319557076, 9783319557083. This edited book focuses on the latest developments in classification, statistical learning, data analysis and related areas of data science, including statistical analysis of large datasets, big data analytics, time series clustering,...
Facebook, 2022. — 113 p. In less than 100 p., Modeling Mindsets elucidates the worldviews behind various statistical modeling and Machine Learning mindsets. "Modeling Mindsets offers a compact but informative overview of the different approaches, assumptions, and goals when working with data. I strongly recommend gifting this book to your present and future colleagues to get...
Facebook, 2022. — 113 p. In less than 100 p., Modeling Mindsets elucidates the worldviews behind various statistical modeling and Machine Learning mindsets. "Modeling Mindsets offers a compact but informative overview of the different approaches, assumptions, and goals when working with data. I strongly recommend gifting this book to your present and future colleagues to get...
Wiley, 2019. — 329 p. — ISBN 978-1-119-29626-3. A guide to the principles and methods of data analysis that does not require knowledge of statistics or programming This book is an essential guide to understand and use data analytics. This book is written using easy-to-understand terms and does not require familiarity with statistics or programming. The authors — noted experts...
Arcler Press, 2023. — 412 p. “Advanced Techniques for Collecting Statistical Data” is an edited book consisting of 17 contemporaneous articles focused on data collection methods, from qualitative research techniques to automated data collection systems. The first chapters include a practical guide to designing, sampling and collecting qualitative research data. The second part...
Arcler Press, 2019. — 501 p. — ISBN: 978-1-77361-555-4. Probabilistic Inference and Statistical Methods in Network Analysis examines various aspects of network analysis and analysis several dimensions of probabilistic inferences. It includes an in-depth social network analysis over clinical education of diabetic foot and also on online social network software. Provide the...
New York: Wiley-Interscience, 2018. — 328 p. Describes the principles and methods of data analysis in an approach that can be understood by readers without specific knowledge of statistics or programming This book teaches readers without specific knowledge of statistics or programming how to understand and use data analytics. The authors focus on the explanation of intuition...
Springer, 2015. — 268 p. — (Studies in Classification, Data Analysis, and Knowledge Organization). — ISBN: 9783319173764, 9783319173771. This edited volume focuses on recent research results in classification, multivariate statistics and machine learning and highlights advances in statistical models for data analysis. The volume provides both methodological developments and...
CRC, 2016. — 280 p. — ISBN: 978-1-4822-5859-2. Molecular biologists are performing increasingly large and complicated experiments, but often have little background in data analysis. The book is devoted to teaching the statistical and computational techniques molecular biologists need to analyze their data. It explains the big-picture concepts in data analysis using a wide...
Springer, 2008. — 157 p. This monograph is devoted to theoretical and experimental study of partial reducts and partial decision rules on the basis of the study of partial covers. The use of partial (approximate) reducts and decision rules instead of exact ones allows us to obtain more compact description of knowledge contained in decision tables, and to design more precise...
Routledge, 2024. — 364 p. Data Analytics and Adaptive Learning offer new insights into the use of emerging data analysis and adaptive techniques in multiple learning settings. In recent years, both analytics and adaptive learning have helped educators become more responsive to learners in virtual, blended, and personalized environments. This set of rich, illuminating,...
Wiley, 2015. - 256 p. Describes and discusses the variants of kernel analysis methods for data types that have been intensely studied in recent years. This book covers kernel analysis topics ranging from the fundamental theory of kernel functions to its applications. The book surveys the current status, popular trends, and developments in kernel analysis studies. The author...
IOS Press, 2002. — 302 p. The need for collecting relevant data sources, mining useful knowledge from different forms of data sources and promptly reacting to situation change is ever increasing. Active mining is a collection of activities each solving a part of this need, but collectively achieving the mining objective through the spiral effect of these interleaving three...
O’Reilly Media, 2024. — 241 p. — ISBN: 978-1-098-14882-9. If you haven't modernized your data cleaning and reporting processes in Microsoft Excel, you're missing out on big productivity gains. And if you're looking to conduct rigorous data analysis, more can be done in Excel than you think. This practical book serves as an introduction to the modern Excel suite of features...
O’Reilly Media, Inc., 2021. — 632 p. — ISBN: 978-1-492-09434-0. Data analytics may seem daunting, but if you're an experienced Excel user, you have a unique head start. With this hands-on guide, intermediate Excel users will gain a solid understanding of analytics and the data stack. By the time you complete this book, you'll be able to conduct exploratory data analysis and...
O’Reilly Media, Inc., 2022. — 116 p. — ISBN: 978-1-098-10683-6. 2021-10-12: First Release From a global pandemic to extreme weather, the events of 2020 and 2021 have caused organizations to make quick and constant adjustments to their strategy and operations. This transformation is likely to continue and have a major impact on analytics. Not only do responders to Experian's...
O’Reilly Media, 2024. — 241 p. — ISBN-13: 978-1-098-14882-9. If you haven't modernized your data cleaning and reporting processes in Microsoft Excel, you're missing out on big productivity gains. And if you're looking to conduct rigorous data analysis, more can be done in Excel than you think. This practical book serves as an introduction to the modern Excel suite of features...
Wiley, 2020. — 830 p. — ISBN: 978-1-119-62613-8. Your logical, linear guide to the fundamentals of data science programming Data science is exploding — in a good way — with a forecast of 1.7 megabytes of new information created every second for each human being on the planet by 2020 and 11.5 million job openings by 2026. It clearly pays dividends to be in the know. This...
Springer, 2015. — 166 p. The book introduces the concept of “generalized interval valued intuitionistic fuzzy soft sets”. It presents the basic properties of these sets and also, investigates an application of generalized interval valued intuitionistic fuzzy soft sets in decision making with respect to interval of degree of preference. The concept of “interval valued...
Springer, 2021. — 598 p. — ISBN: 978-3-030-69892-8. Mobile Edge Computing (MEC) provides cloud-like subscription-oriented services at the edge of the mobile networks. For low latency and high bandwidth services, edge computing-assisted IoT (Internet of Things) has become the pillar for the development of smart environments and their applications such as smart home, smart...
Today, there is an increased need to extract information for decision making from a large collection of data. This transformation of data into knowledge is an interactive and iterative process of various subtasks and decisions, and is called Knowledge Discovery from Data. The central part of Knowledge Discovery is Data Mining. Most important for a more sophisticated data mining...
Books on Demand GmbH, 2000 — 252 p. — ISBN: 9783898118613,3898118614. Today, there is an increased need to extract information for decision-making from a large collection of data. This transformation of data into knowledge is an interactive and iterative process of various subtasks and decisions and is called Knowledge Discovery from Data. The central part of Knowledge...
Springer, 2007, -319 p. Recent years have seen enormous advances in computerization and digitization as well as a corresponding growth in the use of information technology allowing users to access and experience multimedia content on an unprecedented scale. In this context, great efforts have been directed toward the development of techniques for searching and extracting useful...
Springer, 2018. — 343 p. — ISBN: 981107514X. The edited volume deals with different contours of data science with special reference to data management for the research innovation landscape. The data is becoming pervasive in all spheres of human, economic and development activity. In this context, it is important to take stock of what is being done in the data management area...
Springer, 2018. — 343 p. — ISBN: 981107514X. The edited volume deals with different contours of data science with special reference to data management for the research innovation landscape. The data is becoming pervasive in all spheres of human, economic and development activity. In this context, it is important to take stock of what is being done in the data management area...
CRC Press, 2014. — 428 p. in color. — 2nd ed. — ISBN: 1466508914, 9781466508910 Learn How to Design Effective Visualization Systems Visualization Analysis and Design provides a systematic, comprehensive framework for thinking about visualization in terms of principles and design choices. The book features a unified approach encompassing information visualization techniques for...
New York: Chapman and Hall/CRC, 2017. — 224 p. Data Science encompasses the traditional disciplines of mathematics, statistics, data analysis, machine learning, and pattern recognition. This book is designed to provide a new framework for Data Science, based on a solid foundation in mathematics and computational science. It is written in an accessible style, for readers who are...
Physica Verlag, 1985. — 134 p. The objectives of this monograph are as follows: to collect together important recent algorithmic results in the area of cluster analysis; to indicate algorithms which may be of importance in parallel computing environments; to include (unlike other general texts on clustering) discussion of problems specific to the computing area such as pattern...
2007 by John Wiley & Sons, Inc. - 293 p. Problem definition. Data preparation. Implementation of the analysis. Deployment of the results. Further reading. Definition. Objectives. Deliverables. Roles and responsibilities. Project plan. Case study. Problem. Deliverables. Roles and responsibilities. Current situation. Timetable and budget. Cost/benefit analysis. Further reading....
Second Edition. — New Jersey: John Wiley & Sons, Inc., 2014. — 248 p. — ISBN: 9781118407417 With a focus on the needs of educators and students, "Making Sense of Data" presents the steps and issues that need to be considered in order to successfully complete a data analysis or data mining project. This "Second Edition" focuses on basic data analysis approaches that are...
Wiley, 2009. — 297 p. — ISBN: 9780470222805. A hands-on guide to making valuable decisions from data using advanced data mining methods and techniques . This second installment in the Making Sense of Data series continues to explore a diverse range of commonly used approaches to making and communicating decisions from data. Delving into more technical topics, this book equips...
John Wiley & Sons, 2011. — 384 p. — ISBN: 0470536497, 978-0470536490. Focuses on insights, approaches, and techniques that are essential to designing interactive graphics and visualizations. Making Sense of Data III: A Practical Guide to Designing Interactive Data Visualizations explores a diverse range of disciplines to explain how meaning from graphical representations is...
SANS Institute, 2021. — 42 p. Open-source intelligence offers value in information security decision making through knowledge of threats and malicious activities that potentially impact business. Open-source intelligence using the internet is common, however, using the darknet is less common for the typical cybersecurity analyst. The challenges to using the darknet for...
New Age International, 2006. — 351 p. This book is intended for Information Technology (IT) professionals who have been hearing about or have been tasked to evaluate, learn or implement data warehousing technologies. This book also aims at providing fundamental techniques of KDD and Data Mining as well as issues in practical use of Mining tools. Far from being just a passing...
Vienna: 2020. — 246 p. Why We Wrote This Book - About the Authors Introduction to Knowledge Graphs Setting the Stage Make Knowledge Graphs Work System Architecture and Technologies Expert’s Opinions The Future of Knowledge Graphs Addendum: FAQs and Glossary
Cambridge University Press, 2019. — 561 p. — ISBN: 978-1-107-07615-0. Variational Bayesian learning is one of the most popular methods in machine learning. Designed for researchers and graduate students in machine learning, this book summarizes recent developments in the non-asymptotic and asymptotic theory of variational Bayesian learning and suggests how this theory can be...
Cambridge University Press, 2019. — 561 p. — ISBN: 978-1-107-07615-0. Variational Bayesian learning is one of the most popular methods in machine learning. Designed for researchers and graduate students in machine learning, this book summarizes recent developments in the non-asymptotic and asymptotic theory of variational Bayesian learning and suggests how this theory can be...
New Delhi: BPB Publications, 2020. — 300 p. Learn how to process and analysis data using Python. This book introduces the fundamental concepts of Data Science, which has proved to be a major game-changer in business solving problems. Topics covered in the book include fundamentals of Data Science, data preprocessing, data plotting and visualization, statistical data analysis,...
BPB Publications, 2020. — 632 p. Learn how to process and analysis data using Python. Key Features The book has theories explained elaborately along with Python code and corresponding output to support the theoretical explanations. The Python codes are provided with step-by-step comments to explain each instruction of the code. The book is not just dealing with the background...
Nd Edition. — Routledge, 2023. — 301 p. — ISBN: 978-1-032-50354-7. This book is designed to equip students to navigate through MS Excel and basic data computation methods, which are essential tools in research or professional settings and classrooms. It illustrates the concepts used in research and data analysis and economic and financial decision-making in business and in ly...
2nd edition. BPB Publications, 2020 — 154 p. — ISBN: 9389845785. "Data science and Machine learning interview questions using Python," a book that is a true companion of people aspiring for data science and machine learning, and it provides answers to most asked questions in an easy to remember and presentable form. The book is mainly intended to be used as a last-minute...
Springer, 2024. — 186 p. The book concentrates on the impact of digitalization and digital transformation technologies on Industry 4.0 and smart factories, how the factory of tomorrow can be designed, built, and run virtually as a digital twin likeness of its real-world counterpart before the physical structure is erected. It highlights the main digitalization technologies that...
Springer, 2024. — 186 p. The book concentrates on the impact of digitalization and digital transformation technologies on Industry 4.0 and smart factories, and how the factory of tomorrow can be designed, built, and run virtually as a digital twin likeness of its real-world counterpart before the physical structure is erected. It highlights the main digitalization technologies...
New York: Springer, 2014. — 74 p. This SpringerBrief addresses the challenges of analyzing multi-relational and noisy data by proposing several Statistical Relational Learning (SRL) methods. These methods combine the expressiveness of first-order logic and the ability of probability theory to handle uncertainty. It provides an overview of the methods and the key assumptions...
CRC Press, 2018. — 315 p. — ISBN: 1138197106. This book presents an accessible introduction to data-driven storytelling. Resulting from unique discussions between data visualization researchers and data journalists, it offers an integrated definition of the topic, presents vivid examples and patterns for data storytelling, and calls out key challenges and new opportunities for...
Springer, 2019. — 890 p. — ISBN: 978-3-030-02304-1. This book aims at showing how big data sources and data analytics can play an important role in sustainable mobility. It is especially intended to provide academicians, researchers, practitioners and decision makers with a snapshot of methods that can be effectively used to improve urban mobility. The different chapters, which...
Packt Publishing, 2017. — 210 p. — ISBN: 978-1787284586. Build strong foundation of machine learning algorithms In 7 days. Machine learning applications are highly automated and self-modifying, and they continue to improve over time with minimal human intervention as they learn with more data. To address the complex nature of various real-world data problems, specialized...
Packt Publishing, 2017. — 210 p. — ISBN: 978-1787284586. Build strong foundation of machine learning algorithms In 7 days. Machine learning applications are highly automated and self-modifying, and they continue to improve over time with minimal human intervention as they learn with more data. To address the complex nature of various real-world data problems, specialized...
2nd Edition. — Packt Publishing, 2018. — 207 p. — ISBN: 978-1-78980-607-6. Build a strong foundation of machine learning algorithms in 7 days Machine learning applications are highly automated and self-modifying, and continue to improve over time with minimal human intervention, as they learn from the trained data. To address the complex nature of various real-world data...
De Gruyter Saur, 2012. — 440 p. The scope of this volume will encompass a collection of research papers related to the indexing and retrieval of online non-text information. In recent years, the Internet has seen an exponential increase in the number of documents placed online that are not in textual format. These documents appear in a variety of contexts, such as...
Springer, 2009. — 135 p. Data mining consists of attempting to discover novel and useful knowledge from data, trying to find patterns among datasets that can help in intelligent decision making. However, reports of real-world case studies are not generally detailed in the literature, due to the fact that they are usually based on proprietary datasets, making it impossible to...
Wiley, 2018. — 456 p. — ISBN: 978-1-119-42510-6. An evidence-based organizational framework for exceptional analytics team results This book provides managers with a practical manual for integrating data management and analytic technologies into their organization. Author Gregory Nelson has encountered hundreds of unique perspectives on analytics optimization from across...
Morgan Kaufmann / Elsevier, 2014. — 340 p. — ISBN: 9780124166028 Whether you are brand new to data mining or working on your tenth predictive analytics project, Commercial Data Mining will be there for you as an accessible reference outlining the entire process and related themes. In this book, you'll learn that your organization does not need a huge volume of data or a Fortune...
2nd edition. — SAGE Publications 2016. — 659 p. — ISBN: 9781412979474. Content analysis is one of the most important but complex research methodologies in the social sciences. In this thoroughly updated Second Edition of The Content Analysis Guidebook , author Kimberly Neuendorf draws on examples from across numerous disciplines to clarify the complicated aspects of content...
World Scientific, 2007. — 245 p. When we first started working on the problem of making the kernel machine approach applicable to the classification of graphs a couple of years ago, our efforts were mainly driven by the fact that kernel methods had led to impressive performance results on many data sets. It didn't take us long to appreciate the sheer elegance of how difficult...
2nd Edition. — USA: Legerity Digital Press, 2017. — 598 p. — ISBN: 978-0-9857955-8-0. The target audience includes undergraduate or graduate students taking a first course in statistics. As the texts examples and exercises emphasize problems and questions that reference todays social and business contexts, these examples and exercises resonate extremely well with students. The...
Springer, 2001. — 244 p. This text and software package introduces readers to automated theorem proving, while providing two approaches implemented as easy-to-use programs. These are semantic-tree theorem proving and resolution-refutation theorem proving. The early chapters introduce first-order predicate calculus, well-formed formulae, and their transformation to clauses. Then...
Springer, 2001. — 244 p. This text and software package introduces readers to automated theorem proving, while providing two approaches implemented as easy-to-use programs. These are semantic-tree theorem proving and resolution-refutation theorem proving. The early chapters introduce first-order predicate calculus, well-formed formulae, and their transformation to clauses. Then...
Springer, 2006. — 204 p. — ISBN: 3540316957, 9783540316954 This book presents basic aspects for a theory of statistics with fuzzy data, together with a set of practical applications. Theories of fuzzy logic and of random closed sets are used as basic ingredients in building statistical concepts and procedures in the context of imprecise data, including coarse data analysis....
O’Reilly Media, 2022. — 350 p. To succeed in data science you need some math proficiency. But not just any math. This common-sense guide provides a clear, plain English survey of the math you'll need in data science, including probability, statistics, hypothesis testing, linear algebra, machine learning, and calculus. Practical examples with Python code will help you see how...
O’Reilly Media, Inc., 2022. — 350 p. — ISBN: 978-1-098-10293-7. To succeed in data science you need some math proficiency. But not just any math. This common-sense guide provides a clear, plain English survey of the math you'll need in data science, including probability, statistics, hypothesis testing, linear algebra, machine learning, and calculus. Practical examples with...
Sebastopol, USA: O’Reilly Media, Inc., 2019. — 159 p. — ISBN: 1492041653. Solve the most common data engineering and analysis challenges for modern time series data. This book provides an accessible well-rounded introduction to time series in both R and Python that will have software engineers, data scientists, and researchers up and running quickly and competently to do...
New York: O’Reilly Media, 2019. — 159 p. Solve the most common data engineering and analysis challenges for modern time series data. This book provides an accessible well-rounded introduction to time series in both R and Python that will have software engineers, data scientists, and researchers up and running quickly and competently to do time-related analysis in their field of...
O’Reilly, 2019. - 504 p. - ISBN: 1492041653 Solve the most common data engineering and analysis challenges for modern time series data. This book provides an accessible well-rounded introduction to time series in both R and Python that will have software engineers, data scientists, and researchers up and running quickly and competently to do time-related analysis in their field...
O’Reilly Media, 2020. — 500 p. — ISBN: 978-1-492-04165-8. Time series data analysis is increasingly important due to the massive production of such data through the internet of things, the digitalization of healthcare, and the rise of smart cities. As continuous monitoring and data collection become more common, the need for competent time series analysis with both statistical...
Springer, 1981, -316 p. This book is devoted to pattern analysis, that is, the automatic construction of a symbolic description for a complex pattern, like an image or connected speech. Pattern analysis thus tries to simulate certain capabilities which go without saying in any human central nervous system. The increasing interest and growing efforts at solving the problems...
Information Science Reference, 2007. — 312 p. — ISBN: 978-1-59904-618-1. One of the most important and challenging problems in data mining is the definition of prior knowledge either from the process or the domain. Prior knowledge is helpful for selecting suitable data and mining techniques, pruning the space of hypothesis, representing the output in a comprehensible way, and...
Springer Gabler, 2020. — 226 p. A progress in technologies, the increasing expansion and use of digital environments lead to remarkable shifts of business activities. These transformations not only impact business but also affect consumers’ attitudes, beliefs, and practices. Thus, Frederic Nimmermann sheds light on consumer behavior in central subareas in digital environments...
Springer Singapore 2023. — 237 p. — ISBN: 978-981-19-4594-6. This book describes the practical application of artificial intelligence (AI) methods using time series data in system control. This book consistently discusses the application of machine learning to the analysis and modeling of time series data of physical quantities to be controlled in the field of system control....
Wiley-Scrivener, 2022. — 353 p. — (Advances in Data Engineering and Machine Learning). — ISBN: 978-1-119-79188-1. ADVANCES in DATA SCIENCE and ANALYTICS Presenting the concepts and advances of data science and analytics, this volume, written and edited by a global team of experts, also goes into the practical applications that can be utilized across multiple disciplines and...
Burlington: Elsevier Inc., 2009. — 860 p. — ISBN: 978-0-12-374765-5. The book is devoted to the rapidly developing section of data analysis - Data Mining, that is, the search for patterns in large data sets. Includes a summary of theoretical principles, basic algorithms, including those designed for natural language data processing, a detailed self-study case study of this...
Academic Press, 2009. — 864 p. — ISBN: 0123747651. Robert Nisbet, Pacific Capital Bank Corporation, Santa Barbara, CA, USA John Elder, Elder Research, Inc. and the University of Virginia, Charlottesville, USA Gary Miner, StatSoft, Inc. , Tulsa, OK, USA Description The Handbook of Statistical Analysis and Data Mining Applications is a comprehensive professional reference book...
3rd edition. — Academic Press, 2025. — ISBN: 10 0443158452; ISBN: 13 9780443158452. Handbook of Statistical Analysis: AI and ML Applications, Third Edition, is a comprehensive introduction to all stages of data analysis, model building, and implementation, and useful to students and professionals across a variety of fields and settings: business analysts, scientists, engineers...
Second Edition. — Academic Press, 2018. — 795 p. — ISBN: 978-0-12-416632-5. Handbook of Statistical Analysis and Data Mining Applications, Second Edition, is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers, both academic and industrial, through all stages of data analysis, model building and implementation. The...
Wiley, 2007. — 430 p. The main body of this book focuses on four subjects. The first of these is conversational artifacts. We look at how to build artifacts, such as synthetic characters on the computer screen or intelligent robots that can help the user by making conversation using not only natural language but also eye contact, facial expressions, gestures, or other nonverbal...
N.-Y.: Chapman & Hall/CRC, 2007. - 301 p. Quantification of categorical, or non-numerical, data is a problem that scientists face across a wide range of disciplines. Exploring data analysis in various areas of research, such as the social sciences and biology, Multidimensional Nonlinear Descriptive Analysis presents methods for analyzing categorical data that are not...
Apress Media LLC, 2022. — 241 p. — ISBN13: 978-1-4842-7433-0. Get up to speed on the application of machine learning approaches in macroeconomic research. This book brings together economics and data science. Author Tshepo Chris Nokeri begins by introducing you to covariance analysis, correlation analysis, cross-validation, hyperparameter optimization, regression analysis, and...
Berlin: de Gruyter, 2023. — 274 p. This book introduces the latest developments in data-centric engineering, including different artificial intelligence and machine learning approaches, as well as their wide range of applications for long-term monitoring and health assessment of mechanical, aerospace and complex infrastructure systems.
Global Text Project, 2012. — 252 p. The intent of this book is to introduce you to concepts and practices common in data mining. It is intended primarily for undergraduate college students and for business professionals who may be interested in using information systems and technologies to solve business problems by mining data, but who likely do not have a formal background or...
Wiley, 2019. — 640 p. — ISBN: 1119404754. Upgrade your programming language to more effectively handle high-frequency data Machine Learning and Big Data with KDB+/Q offers quants, programmers and algorithmic traders a practical entry into the powerful but non-intuitive kdb+ database and q programming language. Ideally designed to handle the speed and volume of high-frequency...
Wiley, 2012. — 243 p. Attract, engage, and inspire your customers with an "Optimize and Socialize" content marketing strategy Optimize is designed to give readers a practical approach to integrating search and social media optimization with content marketing to boost relevance, visibility, and customer engagement. Companies, large and small, will benefit from the practical...
Springer, 2016. — 417 p. — (Signals and Communication Technology). — ISBN: 978-3-662-52826-6. During the last decades, plenty of new ways have emerged to process, store, distribute and access audiovisual information. Media, information and telecommunications technology sectors have already converged in this context. Other sectors such as automotive, industrial and health...
Hoboken: Wiley, 2020. — 197 p. Scope About SAS About R Some Important Functions with Comparative Comparisons Respectively Quiz Questions Quiz Answers Importing Data Importing Data in SAS Importing Data in R Providing Data Input Data Input in SAS Printing Data Quiz Questions Quiz Answers Data Inspection Missing Values Data Cleaning Quiz Questions Quiz Answers Working with...
Chapman & Hall/CRC, 2009. — 311 p. — (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series). — ISBN: 1420070193, 9781420070194. Data Mining for Design and Marketing shows how to design and integrate data mining tools into human thinking processes in order to make better business decisions, especially in designing and marketing products and systems. The expert...
2nd ed. — Humana Press, 2012. — 567 p. in color. — (Methods in Molecular Biology 1415). — ISBN: 1493935704, 9781493935703 This volume details several important databases and data mining tools. Data Mining Techniques for the Life Sciences, Second Edition guides readers through archives of macromolecular three-dimensional structures, databases of protein-protein interactions,...
2nd ed. — Business Expert Pr., 2018. — 188 p. — ISBN: 9781948580496. Data mining has become the fastest growing topic of interest in business programs in the past decade. The massive growth in data generation, often called big data, in science (weather, ecology, biosciences, any scientific field), social studies (politics, health, many other fields), as well as business...
Springer, 2008. — 180 p. — ISBN: 978-3540769163, e-ISBN: 978-3540769170. This book covers the fundamental concepts of data mining, to demonstrate the potential of gathering large sets of data, and analyzing these data sets to gain useful business understanding. The book is organized in three parts. Part I introduces concepts. Part II describes and demonstrates basic data mining...
Springer, 2017. — 102 p. — Computational Risk Management — ISBN: 978-9811025426 This book reviews forecasting data mining models, from basic tools for stable data through causal models, to more advanced models using trends and cycles. These models are demonstrated on the basis of business-related data, including stock indices, crude oil prices, and the price of gold. The book’s...
Springer, 2020. — 125 p. — Computational Risk Management — ISBN: 9811396639 2nd.ed. This book provides an overview of predictive methods demonstrated by open-source software modeling with Rattle (R’) and WEKA. Knowledge management involves application of human knowledge (epistemology) with the technological advances of our current society (computer systems) and big data, both...
Springer, 2017. — 102 p. — Computational Risk Management — ISBN: 978-9811025426 This book reviews forecasting data mining models, from basic tools for stable data through causal models, to more advanced models using trends and cycles. These models are demonstrated on the basis of business-related data, including stock indices, crude oil prices, and the price of gold. The book’s...
Springer, 2019. — 130 p. — (Computational Risk Management). — ISBN: 9811371806 2nd.ed This book provides an overview of data mining methods demonstrated by software. Knowledge management involves application of human knowledge (epistemology) with the technological advances of our current society (computer systems) and big data, both in terms of collecting data and in analyzing...
Springer, 2017. — 116 p. — (Computational Risk Management). — ISBN: 978-9811033391. This book offers an overview of knowledge management. It starts with an introduction to the subject, placing descriptive models in the context of the overall field as well as within the more specific field of data mining analysis. Chapter 2 covers data visualization, including directions for...
Birmingham: Packt Publishing, 2023. — 381 p. — ISBN: 1803231106. Extract valuable insights from data by leveraging various analysis and visualization techniques with this comprehensive guide. Key Features Gain practical experience in conducting EDA on a single variable of interest in Python. Learn the different techniques for analyzing and exploring tabular, time series, and...
Routledge, 2021. — 407 p. — ISBN: 978-1-138-30527-4. The Routledge Reviewer’s Guide to Mixed Methods Analysis is a groundbreaking edited book – the first devoted solely to mixed methods research analyses, or mixed analyses. Each of the 30 seminal chapters, authored by internationally renowned scholars, provides a simple and practical introduction to a method of mixed analysis....
CRC Press, 2024. — 332 p. — eBook ISBN: 978-1-003-30937-6. Data visualization is the art and science of making information visible. On paper and in our imaginations, it’s a language of shapes and colors that holds our best ideas and most important questions. As we find ourselves swimming in data of all kinds, visualization can help us to understand, express, and explore the...
From the Foundations and Trends in Information Retrieval series by NOWPress, 2006, -107 p. The increasing availability of music in digital format needs to be matched by the development of tools for music accessing, filtering, classification, and retrieval. The research area of Music Information Retrieval (MIR) covers many of these aspects. The aim of this paper is to present an...
Amazon Digital Services LLC, 2018. — 226 p. No extra maths required! – but a keen sense of humour is mandatory. You don’t even have to be excessively keen, we keep it short. This book shows how artificial intelligence (AI), Machine Learning (ML), and Big data analysis can be used in cybersecurity. Designed for Cybersecurity workers, InfoSec indentured slaves and governance...
New York: Springer, 2021. — 117 p. This book presents a new perspective on and a new approach to a wide spectrum of situations, related to data analysis, actually, a kind of a new paradigm. Namely, for a given data set and its partition, whose origins may be of any kind, the authors try to reconstruct this partition on the basis of the data set given, using very broadly...
2nd ed. — CRC Press, 2021. — 354 p. — ISBN: 9780367860851, EISBN 9781003021643. In the five years since the publication of the first edition of Spatial Analysis: Statistics, Visualization, and Computational Methods, many new developments have taken shape regarding the implementation of new tools and methods for spatial analysis with R. The use and growth of artificial...
Packt Publishing, 2018. — 316 p. — ISBN: 1787287602. Only code files! A perfect guide to speed up the predicting power of Machine Learning Algorithms Feature engineering is the most important step in creating powerful machine learning systems. This book will take you through the entire feature-engineering journey to make your machine learning much more systematic and effective....
Packt Publishing, 2018. — 316 p. — ISBN: 1787287602. A perfect guide to speed up the predicting power of Machine Learning Algorithms Feature engineering is the most important step in creating powerful machine learning systems. This book will take you through the entire feature-engineering journey to make your machine learning much more systematic and effective. You will start...
Packt Publishing, 2018. — 316 p. — ISBN: 1787287602. A perfect guide to speed up the predicting power of Machine Learning Algorithms Feature engineering is the most important step in creating powerful machine learning systems. This book will take you through the entire feature-engineering journey to make your machine learning much more systematic and effective. You will start...
Arcler Press, 2022. — 244 p. Data mining is a process of extracting useful knowledge from large amounts of data. To conduct data mining, we often need to collect data. However, privacy concerns may prevent people from sharing the data and some types of information about the data. How we conduct data mining without breaching data privacy presents a challenge. Secure Data Mining...
Springer, 2008. — 768 p. 'A Geometry of Approximation' addresses Rough Set Theory, a field of interdisciplinary research first proposed by Zdzislaw Pawlak in 1982, and focuses mainly on its logic-algebraic interpretation. The theory is embedded in a broader perspective that includes logical and mathematical methodologies pertaining to the theory, as well as related...
Springer – 2005, 272 p. ISBN: 1852338679, 9781852338671 This book presents research on some of the most recent advances in data mining and knowledge discovery, providing theory as well as its applications on practical real world applications. The methodologies discussed encompass tools like Bayesian networks, and major facets of computational intelligence paradigms....
Springer, 2017. — 360 p. — ISBN: 978-3319557229. This edited volume on the latest advances in data science covers a wide range of topics in the context of data analysis and classification. In particular, it includes contributions on classification methods for high-dimensional data, clustering methods, multivariate statistical methods, and various applications. The book gathers...
Orange Education Pvt Ltd, AVA., December 2023. — 503 p. — ISBN: 978-81-19416-44-8. Practical Approaches to Time Series Analysis and Forecasting using Python for Informed Decision-Making. Book Description: This book covers various aspects of Time Series Analysis and Forecasting using the Python language, emphasizing the importance of time series analysis from an industry...
An important part of our information-gathering behavior has always been to find out what other people think. With the growing availability and popularity of opinion-rich resources such as online review sites and personal blogs, new opportunities and challenges arise as people can, and do, actively use information technologies to seek out and understand the opinions of others....
2nd edition. — New York: Pearson, 2018. — 1450 p. Provides both theoretical and practical coverage of all data mining topics. Includes extensive number of integrated examples and figures. Offers instructor resources including solutions for exercises and complete set of lecture slides. Assumes only a modest statistics or mathematics background, and no database knowledge is...
CRC Press, 2024. — 200 p. — (Edge AI in Future Computing). — ISBN: 978-1-032-10485-0. An unfortunate outcome of the growth of the internet and mobile technologies has been the challenge of countering cybercrime. This book introduces and explains the latest trends and techniques of Edge Artificial Intelligence (EdgeAI) intended to help cyber security experts design robust Cyber...
BPB Publications, 2025. — 376 p. — ISBN: 978-93-65897-128. Statistics is a powerful tool for data analysis, visualization, and inference. Python is a popular programming language that offers a rich set of libraries and frameworks for statistical computing. Together, they can help you solve real-world problems and make informed decisions based on data. This book teaches you how...
Academic Press, 2020. — 319 p. — ISBN: 978-0-12-814391-9. This book presents methods of computational intelligence and data fusion that have applications in agriculture for the non-destructive testing of agricultural products and crop condition monitoring. Sections cover the combination of sensors with artificial intelligence architectures in precision agriculture, including...
ITexLi, 2024. — 146 p. — ISBN: 1837690278 9781837690275 183769026X 9781837690268 1837690286 9781837690282. This book discusses and addresses anomaly detection in the context of artificial intelligence and machine learning advancements. The book demystifies the challenges and presents solutions for detecting and understanding network anomalies. Building on the existing...
Independently published, 2024. — 193 p. — ISBN: 979-8320088426, ASIN B0CW18VZF6, B0CYD4W3ZF. Unlock the transformative power of integrated data! In today's business landscape, the ability to harness and connect data from disparate sources is a competitive superpower. "Data Integration Essentials" is your roadmap to mastering the technologies, strategies, and best practices to...
Springer, 2011. – 268 p. – ISBN: 3642150136, 9783642150142 Topology-based methods are of increasing importance in the analysis and visualization of datasets from a wide variety of scientific domains such as biology, physics, engineering, and medicine. Current challenges of topology-based techniques include the management of time-dependent data, the representation large and...
Packt Publishing, 2014. — 310 p. Pig Design Patterns is a comprehensive guide that will enable readers to readily use design patterns that simplify the creation of complex data pipelines in various stages of data management. This book focuses on using Pig in an enterprise context, bridging the gap between theoretical understanding and practical implementation. Each chapter...
CRC Press, 2023. — 246 p. Gone are the days when data was interlinked with related data by humans and human interpretation was required. Data is no longer just data. It is now considered a Thing or Entity or Concept with meaning so that a machine not only understands the concept but also extrapolates the way humans do. Data Science with Semantic Technologies: Deployment and...
CRC Press, 2023. — 315 p. As data is an important asset for any organization, it is essential to apply semantic technologies in Data Science to fulfill the need of any organization. This first volume of a two-volume handbook set provides a roadmap for new trends and future developments in Data Science with semantic technologies. Data Science with Semantic Technologies: New...
Wiley; Scrivener Publishing, 2022. — 456 p. — ISBN: 978-1119864981. This book will serve as an important guide toward applications of Data Science with semantic technologies for the upcoming generation and thus becomes a unique resource for scholars, researchers, professionals, and practitioners in this field. To create intelligence in data science, it becomes necessary to...
Lulu.com, 2023. — 364 p. No Code Data Science is a revolutionary book that democratizes the application of predictive analytics for organizations of all sizes. This first-of-its-kind textbook book is designed to empower readers with the ability to leverage advanced analytics, machine learning, and AI without using a programming language, such as Python or R. It’s a...
Apress Media LLC, 2023. — 222 p. — ISBN-13: 978-1-4842-9734-6. This book explains how to implement a data lake strategy, covering the technical and business challenges architects commonly face. It also illustrates how and why client requirements should drive architectural decisions. Drawing upon a specific case from his experience, author Nayanjyoti Paul begins with the...
Apress Media LLC, 2023. — 222 p. — ISBN-13: 978-1-4842-9735-3. This book explains how to implement a data lake strategy, covering the technical and business challenges architects commonly face. It also illustrates how and why client requirements should drive architectural decisions. Drawing upon a specific case from his experience, author Nayanjyoti Paul begins with the...
Springer, 2023. — 165 p. — (Synthesis Lectures on Data, Semantics, and Knowledge). — ISBN: 978-3-031-30386-9. This book explains the ideas behind one of the most well-known methods for knowledge graph embedding of transformations to compute vector representations from a graph, known as RDF2vec. The authors describe its usage in practice, from reusing pre-trained knowledge graph...
InTech, 2012, -502 p. Manufacturing and Computer Science – these are major usage fields for applications using Petri Nets, which are the subject of the present monograph. Manufacturing, i.e. producing goods, is one of the realms of human activity which has greatly affected the development of civilization. Over centuries, the large-scale manufacturing of goods changed the social...
Springer, 1999, -174 p. The ever-growing interest in new approaches to information management is strictly related to the explosion of collections of documents made accessible through communication networks. The enormous amount of daily available in- formation imposes the development of IE (Information Extraction) technologies that enable one to access relevant documents only...
Society for Industrial and Applied Mathematics, 2005, -316 p. Data mining may be defined broadly as the use of automated procedures to extract useful information and insight from large data sets. In practice, these data sets contain various types of anomalous records that significantly complicate the analysis problem. In particular, the prevalence of outliers, missing or...
Cambridge: Cambridge Scholars Publishing, 2021. — 376 p. Nowadays, all of us enjoy the worldwide revival of measurement and data science caused by the revolution of sensory devices and the amazing data transmission, storage, and processing capabilities available and embedded everywhere. Thanks to the unbelievable amount of recorded information and the theoretical results of...
Springer, 2001. — 403 p. Granular Computing is concerned with constructing and processing carried out at the level of information granules. Using information granules, we comprehend the world and interact with it, no matter which intelligent endeavor this may involve. The landscape of granular computing is immensely rich and involves set theory (interval mathematics), fuzzy...
Wiley, 2005. — 337 p. A comprehensive coverage of emerging and current technology dealing with heterogeneous sources of information, including data, design hints, reinforcement signals from external datasets, and related topics Covers all necessary prerequisites, and if necessary,additional explanations of more advanced topics, to make abstract concepts more tangible Includes...
Springer, Cham, 2022. — 342 p. — ISBN: 978-3-030-95239-6. This book provides timely studies on multi-view facets of data analytics by covering recent trends in processing and reasoning about data originating from an array of local sources. A multi-view nature of data analytics is encountered when working with a variety of real-world scenarios including clustering, consensus...
Springer, Cham, 2022. — 342 p. — ISBN: 978-3-030-95239-6. This book provides timely studies on multi-view facets of data analytics by covering recent trends in processing and reasoning about data originating from an array of local sources. A multi-view nature of data analytics is encountered when working with a variety of real-world scenarios including clustering, consensus...
Springer, 2011. — 315 p. Information granules are fundamental conceptual entities facilitating perception of complex phenomena and contributing to the enhancement of human centricity in intelligent systems. The formal frameworks of information granules and information granulation comprise fuzzy sets, interval analysis, probability, rough sets, and shadowed sets, to name only a...
Springer, 2015. — 444 p. — (Studies in Big Data 8). — ISBN: 9783319082530, 9783319082547 The recent pursuits emerging in the realm of big data processing, interpretation, collection and organization have emerged in numerous sectors including business, industry and government organizations. Data sets such as customer transactions for a mega-retailer, weather monitoring,...
Springer, 2013. — 395 p. — ISBN: 3642334385, 9783642334382 Temporal and spatiotemporal data form an inherent fabric of the society as we are faced with streams of data coming from numerous sensors, data feeds, recordings associated with numerous areas of application embracing physical and human-generated phenomena (environmental data, financial markets, Internet activities,...
Wiley, 2008. — 1150 p. Although the notion is a relatively recent one, the notions and principles of Granular Computing (GrC) have appeared in a different guise in many related fields including granularity in Artificial Intelligence, interval computing, cluster analysis, quotient space theory and many others. Recent years have witnessed a renewed and expanding interest in the...
Arcler Press, 2021. — 337 p. — ISBN: 978-1-77407-779-5. This book covers different topics from soft computing and neuro-fuzzy systems, including intelligent neuro-fuzzy models, adaptive neuro-fuzzy systems, neuro-fuzzy inference systems, and neuro-fuzzy control. Section 1 focuses on intelligent neuro-fuzzy models, describing a fuzzy-neuro model for intelligent credit risk...
Springer, 2012. - 310 p. When scientists analyze datasets in a search for underlying phenomena, patterns or causal factors, their first step is often an automatic or semi-automatic search for structures in the data. Of these feature-extraction methods, topological ones stand out due to their solid mathematical foundation. Topologically defined structures — as found in scalar,...
Springer, 2023. — 298 p. — (Big Data Management). This book describes theoretical elements, practical approaches, and specialized tools that systematically organize, characterize, and analyze Big Data gathered from educational affairs and settings. Moreover, the book shows several inference criteria to leverage and produce descriptive, explanatory, and predictive closures to...
Leanpub.com, 2019. — 133 p. This book draws a complete picture of the data analysis process, filling out many details that are missing from previous presentations. It presents a new perspective on what makes for a successful data analysis and how the quality of data analyses can be judged. What is a data analysis ? What makes for a successful data analysis ? These are difficult...
Lulu.com, 2016. — 153 p. — ISBN: 1365121976, 9781365121975. In this concise book you will learn what you need to know to begin assembling and leading a data science enterprise, even if you have never worked in data science before. You'll get a crash course in data science so that you'll be conversant in the field and understand your role as a leader. You'll also learn how to...
CRC Press, 2023. — 266 p. — ISBN: 978-1-032-34281-8. Building a data-driven organization (DDO) is an enterprise-wide initiative that may consume and lock up resources for the long term. Understandably, any organization considering such an initiative would insist on a roadmap and business case to be prepared and evaluated before approval. This book presents a step-by-step...
Springer, 2005. — 183 p. 4th Industrial Conference on Data Mining, ICDM 2004, Leipzig, Germany, July 4-7, 2004, Revised Selected Papers. The Industrial Conference on Data Mining ICDM-Leipzig was the fourth meeting in a series of annual events which started in 2000, organized by the Institute of Computer Vision and Applied Computer Sciences (IBaI) in Leipzig. The mission of the...
Springer, 2002. — 136 p. Despite being a young field of research and development, data mining has proved to be a successful approach to extracting knowledge from huge collections of structured digital data collection as usually stored in databases. Whereas data mining was done in early days primarily on numerical data, nowadays multimedia and Internet applications drive the...
Oxford University Press, 2021. — 315 p. — ISBN: 978-0198849827. Experiments, surveys, measurements, and observations all generate data. These data can provide useful insights for solving problems, guiding decisions, and formulating strategy. Progressing from relatively unprocessed data to insight, and doing so efficiently, reliably, and confidently, does not come easily, and...
Springer, 2012. — 212 p. Rough Set Theory, introduced by Pawlak in the early 1980s, has become an important part of soft computing within the last 25 years. However, much of the focus has been on the theoretical understanding of Rough Sets, with a survey of Rough Sets and their applications within business and industry much desired. Rough Sets: Selected Methods and Applications...
Springer, 2004. — 416 p. The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, starting from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other...
Springer, 2005. — 374 p. The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, starting from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other...
Springer, 2005. — 469 p. The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other approaches to...
Springer, 2005. — 383 p. The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other approaches to...
Springer, 2006. — 515 p. The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other approaches to...
Springer, 2007. — 508 p. The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other approaches to...
Springer, 2007. — 389 p. The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other approaches to...
Springer, 2008. — 529 p. The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other approaches to...
Springer, 2009. — 282 p. The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other approaches to...
Springer, 2010. — 195 p. The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other approaches to...
Springer, 2010. — 347 p. The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other approaches to...
Springer, 2011. — 284 p. The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other approaches to...
Springer, 2011. — 246 p. The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other approaches to...
Springer, 2015. — 375 p. The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other approaches to...
Springer, 2012. — 189 p. The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other approaches to...
Springer, 2013. — 228 p. The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other approaches to...
Springer, 2014. — 301 p. The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery and intelligent information processing, to relations between rough sets and other approaches to...
Springer, 2014. —141 p. The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other approaches to...
Springer, 2016. — 329 p. The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other approaches to...
Springer, 2008. — 760 p. The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other approaches to...
London: Springer, 2007. - 539 p. This book is based mostly on extended and updated papers that have been presented at the two Multimedia Data MiningWorkshops — MDM KDD 2003 andMDM KDD 2004 that held in conjunction with the ACM SIGKDD Conference in Washington, DC, August 2003 and the ACM SIGKDD Conference in Seattle,WA, August 2004, respectively. The book also includes several...
Shelter Island: Manning Publications, 2016. - 458 p. Data accumulated about customers, products, and website users can not only help interpret the past, it can help predict the future! Probabilistic programming is a programming paradigm in which code models are used to draw probabilistic inferences from data. By applying specialized algorithms, programs assign degrees of...
Springer, 2021. — 299 p. — (Springer Series in the Data Sciences). — ISBN: 978-3-030-62340-1. This textbook, suitable for an early undergraduate up to a graduate course, provides an overview of many basic principles and techniques needed for modern data analysis. In particular, this book was designed and written as preparation for students planning to take rigorous Machine...
Hoboken: John Wiley & Sons, Ltd., 2015. — 487 p. — ISBN: 978-1-118-61965-0. A comprehensive introduction to statistical methods for data mining and knowledge discovery. Applications of data mining and ‘big data’ increasingly take center stage in our modern, knowledge-driven society, supported by advances in computing power, automated data acquisition, social media development...
Piegorsch Walter W., Levine Richard A., Zhang Hao Helen, Lee Thomas C.M. — John Wiley & Sons, 2022. — 674 p. — ISBN: 978-1119561071. An essential roadmap to the application of computational statistics in contemporary data science In Computational Statistics in Data Science, a team of distinguished mathematicians and statisticians delivers an expert compilation of concepts,...
Wiley, 2025. — 195 p. Feel confident navigating the fundamentals of Data Science. Data Science Essentials For Dummies is a quick reference on the core concepts of the exploding and in-demand Data Science field, which involves data collection and working dataset cleaning, processing, and visualization. This direct and accessible resource helps you brush up on key topics and is...
2nd Edition. — John Wiley & Sons, Inc., 2017. — 329 p. — ISBN: 978-1-119-32763-9. True PDF Your ticket to breaking into the field of data science! Jobs in data science are projected to outpace the number of people with data science skills — making those with the knowledge to fill a data science position a hot commodity in the coming years. Data Science For Dummies is the...
Wiley, 2015. — 410 p. — ISBN: 1118841557, 9781118841556, 9781118841525 Discover how data science can help you gain in-depth insightinto your business - the easy way! Jobs in data science abound, but few people have the datascience skills needed to fill these increasingly important roles inorganizations. Data Science For Dummies is the perfectstarting point for IT professionals...
Wiley, 2015. — 438 p. — ISBN: 1118841557, 9781118841556 Discover how data science can help you gain in-depth insightinto your business - the easy way! Jobs in data science abound, but few people have the datascience skills needed to fill these increasingly important roles inorganizations. Data Science For Dummies is the perfectstarting point for IT professionals and students...
John Wiley & Sons, Inc., 2024. — 352 p. — ISBN-13: 978-1394251957. Unlock predictable bottom-line growth through tailored data and AI strategies. In The Data & AI Imperative: Designing Strategies for Exponential Growth, celebrated data-driven growth leader, Lillian Pierson, delivers a masterclass in developing custom strategies to harness the full potential of data and AI...
John Wiley & Sons, Inc., 2024. — 352 p. — ISBN-13: 978-1394251971. Unlock predictable bottom line growth through tailored data and AI strategies. In The Data & AI Imperative: Designing Strategies for Exponential Growth, celebrated data-driven growth leader Lillian Pierson,delivers a masterclass in developing custom strategies to harness the full potential of data and AI within...
John Wiley & Sons, Inc., 2025. — 195 p. — ISBN: 978-1-394-29702-3. Feel confident navigating the fundamentals of Data Science. Data Science Essentials For Dummies is a quick reference on the core concepts of the exploding and in-demand Data Science field, which involves data collection and working dataset cleaning, processing, and visualization. This direct and accessible...
Wiley, 2014. — 253 p. — (Wiley and SAS Business Series). — ISBN: 1118347609 Employ heuristic adjustments for truly accurate analysis Heuristics in Analytics presents an approach to analysis that accounts for the randomness of business and the competitive marketplace, creating a model that more accurately reflects the scenario at hand. With an emphasis on the importance of...
SAS Institute Inc., 2021. — 170 p. — ISBN: 978-1-953329-60-8. Boost your understanding of data science techniques to solve real-world problems Data science is an exciting, interdisciplinary field that extracts insights from data to solve business problems. This book introduces common data science techniques and methods and shows you how to apply them in real-world case studies....
SAS Institute Inc., 2021. — 230 p. — ISBN: 978-1-953329-60-8. Boost your understanding of data science techniques to solve real-world problems Data science is an exciting, interdisciplinary field that extracts insights from data to solve business problems. This book introduces common data science techniques and methods and shows you how to apply them in real-world case studies....
River Publishers, 2019. — 236 p. — ISBN: 978-87-93609-69-3. Nowadays, the prevalence of computing systems in our lives is so ubiquitous that we live in a cyber-physical world dominated by computer systems, from pacemakers to cars and airplanes. These systems demand more computational performance to process large amounts of data from multiple data sources with guaranteed...
Wiley, 2012. – 788 p. – 2nd ed. – ISBN: 0470640375, 9780470640371. System identification is a general term used to describe mathematical tools and algorithms that build dynamical models from measured data. Used for prediction, control, physical interpretation, and the designing of any electrical systems, they are vital in the fields of electrical, mechanical, civil, and...
Syngress, 2016. — 173 p. — ISBN: 978-0-12-800006-9. Drawing upon years of practical experience and using numerous examples and illustrative case studies, Threat Forecasting: Leveraging Big Data for Predictive Analysis discusses important topics, including the danger of using historic data as the basis for predicting future breaches, how to use security intelligence as a tool to...
Syngress, 2016. — 188 p. — ISBN: 978-0128000069. Drawing upon years of practical experience and using numerous examples and illustrative case studies, Threat Forecasting: Leveraging Big Data for Predictive Analysis discusses important topics, including the danger of using historic data as the basis for predicting future breaches, how to use security intelligence as a tool to...
2nd edition. — Academic Press, 2021. — 312 p. — ISBN: 9780128221327. Data stewards in any organization are the backbone of a successful data governance implementation because they do the work to make data trusted, dependable, and high quality. Since the publication of the first edition, there have been critical new developments in the field, such as integrating Data Stewardship...
2nd edition. — Academic Press, 2021. — 312 p. — ISBN: 9780128221327. Data stewards in any organization are the backbone of a successful data governance implementation because they do the work to make data trusted, dependable, and high quality. Since the publication of the first edition, there have been critical new developments in the field, such as integrating Data Stewardship...
Birmingham: Packt Publishing, 2024. — 263 p. — ISBN: 1835469183. Leverage your data as a business asset, from readiness to actionable insights, and drive exceptional performance. Key Features Learn strategies to create a data-driven culture and align data initiatives with business goals. Navigate the ever-evolving business landscape with a modern data platform and unique Data...
Morgan & Claypool , 2020. - 157 p. - ISBN: 9781681737256 Linked Data (LD) is a well-established standard for publishing and managing structured information on the Web, gathering and bridging together knowledge from different scientific and commercial domains. The development of Linked Data Visualization techniques and tools has been adopted as the established practice for the...
Springer, 1998. — 604 p. The papers on rough set theory and its applications placed in this volume present a wide spectrum of problems representative to the present. stage of this theory. Researchers from many countries reveal their rec.ent results on various aspects of rough sets. The papers are not confined only to mathematical theory but also include algorithmic aspects,...
Springer, 2015. — 461 p. This book presents a study in knowledge discovery in data with knowledge understood as a set of relations among objects and their properties. Relations in this case are implicative decision rules and the paradigm in which they are induced is that of computing with granules defined by rough inclusions, the latter introduced and studied within rough...
CRC Press, 2022. — 152 p. — ISBN 978- 1- 032- 10625- 0. This book brings insight into data science and offers applications and implementation strategies. It includes current developments and future directions and covers the concept of data science along with its origins. It focuses on the mechanisms of extracting data along with classifications, architectural concepts, and...
Boston: The MIT Press, 2015. — 252 p. When "metadata" became breaking news, appearing in stories about surveillance by the National Security Agency, many members of the public encountered this once-obscure term from information science for the first time. Should people be reassured that the NSA was "only" collecting metadata about phone calls -- information about the caller,...
Rijeka: InTech, 2009. — 436 p. — ISBN: 978-3-902613-53-0. This book presents four different ways of theoretical and practical advances and applications of data mining in different promising areas like Industrialist, Biological, and Social. Twenty six chapters cover different special topics with proposed novel ideas. Each chapter gives an overview of the subjects and some of the...
IGI Global, 2008, -324 p. Since its definition a decade ago, the problem of mining patterns is becoming a very active research area, and efficient techniques have been widely applied to problems either in industry, government or science. From the initial definition and motivated by real applications, the problem of mining patterns not only addresses the finding of itemsets but...
Emerald Group Publishing Limited, 1999. — 324 p. — ISBN: 0125637365, 978-0125637367. At the end of the book there is a list of errors noted. Statistical Methods for Categorical Data Analysis is designed as an accessible reference work and textbook about categorical data (that is, data arising from counts instead of measurement. Examples include data about birth, death,...
Singapore: Springer Singapore, 2019. — 71 p. — ISBN: 978-981-13-3209-8. This book provides a comprehensive picture of fog computing technology, including of fog architectures, latency aware application management issues with real time requirements, security and privacy issues and fog analytics, in wide ranging application scenarios such as M2M device communication, smart homes,...
Singapore: Springer Singapore, 2019. — 71 p. — ISBN: 978-981-13-3209-8. This book provides a comprehensive picture of fog computing technology, including of fog architectures, latency aware application management issues with real time requirements, security and privacy issues and fog analytics, in wide ranging application scenarios such as M2M device communication, smart homes,...
Wiley-Scrivener, 2022. — 471 p. — (Next-Generation Computing and Communication Engineering). This desk reference handbook gives a hands-on experience on various algorithms and popular techniques used in real-time in data science to all researchers working in multiple domains. Data Science is one of the leading research-driven areas in the modern era. It has a critical role in...
Wiley-Scrivener, 2022. — 471 p. — (Next-Generation Computing and Communication Engineering). — ISBN: 1119857333. This desk reference handbook gives a hands-on experience on various algorithms and popular techniques used in real-time in data science to all researchers working in various domains. Data Science is one of the leading research-driven areas in the modern era. It is...
Wiley-Scrivener, 2022. — 471 p. — (Next-Generation Computing and Communication Engineering). — ISBN: 1119857333. This desk reference handbook gives a hands-on experience on various algorithms and popular techniques used in real-time in data science to all researchers working in various domains. Data Science is one of the leading research-driven areas in the modern era. It is...
New York: Wiley-Scrivener, 2022. — 472 p. This desk reference handbook gives a hands-on experience on various algorithms and popular techniques used in real-time in data science to all researchers working in various domains. Data Science is one of the leading research-driven areas in the modern era. It is having a critical role in healthcare, engineering, education,...
O’Reilly Media, Inc., 2023. — 247 p. — ISBN: 978-1-098-13965-0. Decision Intelligence (DI) has been widely named as a top technology trend for several years, and the Gartner Group reports that more than a third of large organizations are adopting it. Some even say that DI is the next step in the evolution of Artificial Intelligence (AI). Gartner Group reports that more than a...
O’Reilly Media, Inc., 2023. — 247 p. — ISBN: 978-1-098-13965-0. Decision Intelligence (DI) has been widely named as a top technology trend for several years, and the Gartner Group reports that more than a third of large organizations are adopting it. Some even say that DI is the next step in the evolution of Artificial Intelligence (AI). Gartner Group reports that more than a...
Collective authorship. — New York: Scientific Books, 2016. — 253 p. The essential aim of this book is to use predictive models to analyze risk. Models of decision trees, regression and neural networks are used to predict various risk categories. This book shows you how to build decision tree models to predict a categorical target and how to build regression tree models and...
Cambridge: Cambridge University Press, 2023. — 433 p. With the increasing prevalence of big data and sparse data, and rapidly growing data-centric approaches to scientific research, students must develop effective data analysis skills at an early stage of their academic careers. This detailed guide to data modeling in the sciences is ideal for students and researchers keen to...
Springer, 2023. — 209 p. This book presents an easy-to-use tool for time series analysis and allows the user to concentrate on studying time series properties rather than on how to calculate the necessary estimates. The two attached programs provide, in one run of the program, a time and frequency domain description of scalar or multivariate time series approximated with a...
IGI Global, 2017. — 365 p. — ISBN: 978-1522525127. Data visualization has emerged as a serious scholarly topic, and a wide range of tools have recently been developed at an accelerated pace to aid in this research area. Examining different ways of analyzing big data can result in increased efficiency for many corporations and organizations. Data Visualization and Statistical...
Cambridge University Press, 2019. — 648 p. — ISBN: 978-1-108-43223-8 The increased and widespread availability of large network data resources in recent years has resulted in a growing need for effective methods for their analysis. The challenge is to detect patterns that provide a better understanding of the data. However, this is not a straightforward task because of the size...
Morgan Kaufmann Publishers, 2003. — 588 p. — ISBN: 155860653X, 9781558606531 Business Modeling and Data Mining demonstrate how real-world business problems can be formulated so that data mining can answer them. The concepts and techniques presented in this book are the essential building blocks in understanding what models are and how they can be used practically to reveal...
Morgan Kaufmann Publishers, 2003. — 650 p. — ISBN: 155860653X. Business Modeling and Data Mining demonstrates how real world business problems can be formulated so that data mining can answer them. The concepts and techniques presented in this book are the essential building blocks in understanding what models are and how they can be used practically to reveal hidden...
Morgan Kaufmann, 1999. — 467 p. Data Exploration as a Process The Nature of the World and Its Impact on Data Preparation Data Preparation as a Process Getting the Data — Basic Preparation Sampling, Variability, and Confidence Handling Nonnumerical Variables Normalizing and Redistributing Variables Replacing Missing and Empty Values Series Variables Preparing the Data Set The...
New York: Springer, 2016. — 278 p. This book has a collection of articles written by Big Data experts to describe some of the cutting-edge methods and applications from their respective areas of interest, and provides the reader with a detailed overview of the field of Big Data Analytics as it is practiced today. The chapters cover technical aspects of key areas that generate...
Independently published, 2021. — 410 p. Hands-on and written in jupyter notebook...feel the heat! Dear learners, I am pleased to mention that this book is based on lecture notes from my bestselling Bootcamp on Data Science and Machine Learning using Python. It was never easy to get enough time, and I am obliged to those, who kept on sending requests to compile my notes in the...
Springer, 2020. - 677 p. - ISBN: 9811579830 This two volume set (CCIS 1257 and 1258) constitutes the refereed proceedings of the 6th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2020 held in Taiyuan, China, in September 2020. The 98 papers presented in these two volumes were carefully reviewed and selected from 392 submissions....
Springer, 2014. — 302 p. — ISBN: 3642412505, 9783642412509 Machine learning and data mining are inseparably connected with uncertainty. The observable data for learning is usually imprecise, incomplete or noisy. Uncertainty Modeling for Data Mining: A Label Semantics Approach introduces 'label semantics', a fuzzy-logic-based theory for modeling uncertainty. Several new data...
Springer, 2023. — 251 p. Artificial Intelligence (AI) is now everywhere and fuels both industry and daily life all over the world. We are in the era of “Big Data,” and huge sums of information can be obtained which are too cumbersome for people to process themselves. These Big Data are even with many complex correlations behind them in various areas, such as computer vision and...
Wiley, 2017. - 362 p. - ISBN: 1118494059 This book is aimed at students in communications and signal processing who want to extend their skills in the energy area. It describes power systems and why these backgrounds are so useful to smart grid, wireless communications being very different to traditional wireline communications. Robert Caiming Qiu, Professor, Dept. of ECE,...
Massachusetts Institute of Technology, Neural Information Processing Series, 2009. — 248 p. ISBN: 0262170051, 978-0262170055. Dataset shift is a common problem in predictive modeling that occurs when the joint distribution of inputs and outputs differs between training and test stages. Covariate shift, a particular case of dataset shift, occurs when only the input distribution...
CRC Press, 2022. — 283 p. — ISBN 978- 0- 367- 68537- 9. Engineering analytics is becoming a necessary skill for every engineer. Areas such as Operations Research, Simulation, and Machine Learning can be totally transformed through massive volumes of data. This book is intended to be an introduction to Engineering Analytics that can be used to improve performance tracking,...
Arcler Press, 2020. — 278 p. — ISBN: 978-1-77361-370-3. Data Reduction and Analysis examines various aspects of data analysis including brief overview of data environment. It starts with establishing a clear picture of statistics to data science with Python and R. It comprise concepts of data analysis and error analysis. Provides the reader with insights into the reduction and...
IGI Global, 2008. — 332 p. — ISBN: 1599046571, 9781599046570. Data Mining techniques are gradually becoming essential components of corporate intelligence systems and progressively evolving into a pervasive technology within activities that range from the utilization of historical data to predicting the success of an awareness campaign. In reality, data mining is becoming an...
Hershey: Information Science Reference, 2008. — 378 p. — ISBN: 1605662305, 9781605662305 In recent years, data mining has become a powerful tool in assisting society with its various layers and individual elements useful in obtaining intelligent information for making knowledgeable decisions. In the realm of knowledge discovery, data mining is becoming one of the most popular...
Springer, 2023. — 297 p. — (Transactions on Computer Systems and Networks). — ISBN: 978-981-99-0108-1. This book focuses on both theory and applications of Artificial Intelligence and Machine Learning in the broad areas of communication and networking. This book focuses on the ongoing research work and future scope for various open research issues related to sustainable design,...
Chandos Publishing, 2013. — 360 p. The book focuses on the processing and search tools applicable to the management of new multimedia documents. These matters merge in the methodology of MIR, an organic system composed of the TR, VR, VDR and AR systems. One of the book’s goals is to demonstrate the limitations of operating within the terms of a generic Information Retrieval...
CRC Press, 2023. — 261 p. — ISBN: 9781032136141. Artificial Intelligence (AI), Machine Learning, and advanced electronic circuits involve learning from every data input and using those inputs to generate new rules for future business analytics. AI and Machine Learning are now giving us new opportunities to use Big Data that we already had, as well as unleash a whole lot of new...
Wiley, 2022. — 474 p. The book elaborates in detail on the current needs of data mining and machine learning and promotes mutual understanding among researchers in different disciplines, thus facilitating research development and collaboration. Data, the latest currency of today’s world, is the new gold. In this new form of gold, the most beautiful jewels are data analytics and...
Stanford University, 2011. — 457 p. This book evolved from material developed over several years by Anand Rajaraman and Jeff Ullman for a one-quarter course at Stanford. The course CS345A, titled Web Mining, was designed as an advanced graduate course, although it has become accessible and interesting to advanced undergraduates. At the highest level of description, this book is...
PHI Learning Pvt. Ltd., 2017. 572 p. The second edition of this book provides a comprehensive introduction to a consortium of technologies underlying soft computing, an evolving branch of computational intelligence, which in recent years, has turned synonymous to it. The constituent technologies discussed comprise neural network (NN), fuzzy system (FS), evolutionary algorithm...
Springer. 2013. — 350 p. ISBN: 1461487846 This book presents an overview of a variety of contemporary statistical, mathematical and computer science techniques which are used to further the knowledge in the medical domain. The authors focus on applying data mining to the medical domain, including mining the sets of clinical data typically found in patient’s medical records,...
BPB Publications, 2023. — 254 p. — ISBN: 978-93-5551-159-1. Unlock the Potential of Data Science and Machine Learning to Your Business and Organization. Key Features Includes today’s most popular applications powered by data science and machine learning technology. A solid primer on the entire data science lifecycle, detailed with examples. An integrated approach to...
BPB Publications, 2023. — 254 p. — ISBN: 978-93-55511-584. Unlock the Potential of Data Science and Machine Learning for Your Business and Organization. Key Features Includes today’s most popular applications powered by data science and machine learning technology. A solid primer on the entire data science lifecycle, detailed with examples. An integrated approach to...
O’Reilly Media, Inc., 2018. — 52 p. — ISBN: 9781492037835. AI is accelerating the digital transformation for every industry, with examples ranging from manufacturing, retail, finance, healthcare, and many others. At this rate, every industry will be able to use AI to amplify human ingenuity. In this ebook, Joseph Sirosh, Corporate VP of Microsoft’s Artificial Intelligence and...
IGI Global, 2023. — 326 p. This book is academically written as a guide for students and people interested in experimenting with Data Mining using RapidMiner software. It covers the contents related to Data Mining, which consists of Classification, Deep Learning, Association Rule, Clustering, Recommendation System, and RapidMiner Software usage as well as researching case...
Springer, 2016. — 48 p. — (Springer Briefs in Applied Sciences and Technology Series). — ISBN: 978-3-319-22294-3; ISBN: 978-3-319-22293-6. The main benefit of the book is that it explores available methodologies for both conducting in-situ measurements and adequately exploring the results, based on a case study that illustrates the benefits and difficulties of concurrent...
India: BPB Publications, 2020. — 265 p. — ISBN: 978-93-89423-631. Step-by-step guide to different data movement and processing techniques, using Google Cloud Platform Services. Modern businesses are awash with data, making data-driven decision-making tasks increasingly complex. As a result, relevant technical expertise and analytical skills are required to do such tasks. This...
Cham: Springer International Publishing, 2019 - 214 p. - ISBN: 978-3-030-05127-3 This book, drawing on recent literature, highlights several methodologies for the detection of outliers and explains how to apply them to solve several interesting real-life problems. The detection of objects that deviate from the norm in a data set is an essential task in data mining due to its...
North-Holland, 2020. — 498 p. — ISBN: 978-0-444-64211-0. Principles and Methods for Data Science, Volume 43 in the Handbook of Statistics series, highlights new advances in the field, with this updated volume presenting interesting and timely topics, including Competing risks, aims and methods, Data analysis and mining of microbial community dynamics, Support Vector Machines, a...
Amsterdam: Elsevier, 2005. — 660 p. — ISBN: 0444511415, 9780444511416 This book focuses on dealing with large-scale data, a field commonly referred to as data mining. The book is divided into three sections. The first deals with an introduction to statistical aspects of data mining and machine learning and includes applications to text analysis, computer intrusion detection,...
Regionalization of Watersheds An Approach Based on Cluster Analysis (A.R. Rao, V.V. Srinivas) Design of water control structures, reservoir management, economic evaluation of flood protection projects, land use planning and management, flood insurance assessment, and other projects rely on knowledge of magnitude and frequency of floods. Often, estimation of floods is not easy...
Boca Raton: CRC Press, 2016. — 587 p. Provides a survey of data fusion concepts and terminology; Presents use of probability, statistics, and fuzzy logic in data fusion; Contains filtering algorithms, target-tracking methods, and kinematic fusion methods; Covers decision-theory and decision fusion, and wireless sensor’s multimodality aspects; Includes coverage of soft computing...
Springer, 2009. – 410 p. – ISBN: 3642021891, 9783642021909 Data Management is the process of planning, coordinating and controlling data resources. More often, applications need to store and search a large amount of data. Managing Data has been continuously challenged by demands from various areas and applications and has evolved in parallel with advances in hardware and...
New York: Springer, 2021. — 247 p. Music recommendation systems are becoming more and more popular. The increasing amount of personal data left by users on social media contributes to a more accurate inference of the user’s musical preferences and the same top the quality of personalized systems. Health recommendation systems have become indispensable tools in decision-making...
Springer, 2010. — 423 p. Sound waves propagate through various media, and allow communication or entertainment for us, humans. Music we hear or create can be perceived in such aspects as rhythm, melody, harmony, timbre, or mood. All these elements of music can be of interest for users of music information retrieval systems. Since vast music repositories are available for...
MIT Press, 2006, -266 p. The book is primarily intended for graduate students and researchers in machine learning at departments of Computer Science, Statistics and Applied Mathematics. As prerequisites we require a good basic grounding in calculus, linear algebra and probability theory as would be obtained by graduates in numerate disciplines such as electrical engineering,...
MIT Press, 2005. — 260 p. The book is primarily intended for graduate students and researchers in machine learning at departments of Computer Science, Statistics and Applied Mathematics. As prerequisites we require a good basic grounding in calculus, linear algebra and probability theory as would be obtained by graduates in numerate disciplines such as electrical engineering,...
Springer, 2022. — 198 p. — (Studies in Big Data). The book provides an insight into the practical applications and theoretical foundation of Data Science. The book discusses new ways of embracing agile approaches to various facets of Data Science, including Machine Learning and Artificial Intelligence, data mining, data visualization, and communication. The book includes...
Wiley-Scrivener, 2023. — 610 p. This book was written to discuss the milestones in the development of three recent domains in Computer Science engineering - Cloud Computing, Artificial Intelligence and Big Data Analytics - and to analyze the convergence of cloud computing with Artificial Intelligence (AI) for Big Data analytics. Despite the fact that all three domains work...
River Publishers, 2024. — 430 p. — ISBN: 9788770040174. This book emphasizes the applications of advances in data processing methods for Artificial Intelligence in today's fast-changing world, as well as to serve society through research, innovation, and development in this field. This book applies to a wide range of data that contribute to data science concerns and can be used...
New York: Springer, 2018. — 200 p. The book will provide: In depth explanation of rough set theory along with examples of the concepts. Detailed discussion on idea of feature selection. Details of various representative and state of the art feature selection techniques along with algorithmic explanations. Critical review of state of the art rough set based feature selection...
Addison Wesley, 2005, -331 p. Artificial intelligence (AI) has been in existence almost as long as computers. However, only recently have AI techniques been widely incorporated by companies to enhance traditional business applications. Building Intelligent .NET Applications is an introduction to the world of Artificial Intelligence (AI) for .NET programmers. It is the first...
Springer, 2022. — 326 p. — ISBN: 978-981-16-5846-4. This book aims to address emerging challenges in the field of agriculture and natural resource management using the principles and applications of data science (DS). The book is organized into three sections, and it has fourteen chapters dealing with specialized areas. The chapters are written by experts sharing their...
Morgan Kaufmann, 2013, -203 p. Most organizations of middle to large size have hundreds or, more probably, thousands of applications, each with its own various databases and other data stores. Whether the data stores are from traditional technologies and database management systems, emerging technologies, or document management systems, it is critical to the usefulness of these...
Wiley Publishing, Inc., 2009. - 482 p. Aimed at helping business and IT managers clearly communicate with each other, this helpful book addresses concerns straight-on and provides practical methods to building a collaborative data warehouse. You'll get clear explanations of the goals and objectives of each stage of the data warehouse lifecycle while learning the roles that both...
Springer, 2005. — 472 p. Tabu Search (TS) and, more recently, Scatter Search (SS) have proved highly effective in solving a wide range of optimization problems, and have had a variety of applications in industry, science, and government. The goal of Metaheuristic Optimization via Memory and Evolution: Tabu Search and Scatter Search is to report original research on algorithms...
Elsevier, 2023. — 260 p. Mathematical Methods in Data Science introduce a new approach based on network analysis to integrate Big Data into the framework of ordinary and partial differential equations for data analysis and prediction. The mathematics is accompanied by examples and problems arising in Data Science to demonstrate advanced mathematics, particularly data-driven...
CRC Press, 2023. — 361 p. — ISBN: 978-0-367-75426-6. With tremendous improvement in computational power and the availability of rich data, almost all engineering disciplines use Data Science at some level. This textbook presents material on Data Science comprehensively, and in a structured manner. It provides a conceptual understanding of the fields of Data Science, Machine...
Cambridge University Press, 2013. — 394 p.— ISBN: 9781107021716 Mobility of people and goods is essential in the global economy. The ability to track the routes and patterns associated with this mobility offers unprecedented opportunities for developing new, smarter applications in different domains. Much of the current research is devoted to developing concepts, models, and...
New York: Springer, 2016. - 172 p. The book focuses on a set of cutting-edge research techniques, highlighting the potential of soft computing tools in the analysis of economic and financial phenomena and in providing support for the decision-making process. In the first part the textbook presents a comprehensive and self-contained introduction to the field of self-organizing...
CRC Press, 2023. — 367 p. — ISBN: 978-1-032-14620-1. This book takes the reader through the process of learning and creating data visualization, following a unique journey with questions every step of the way, ultimately discussing how and when to bend and break the "rules" to come up with creative, unique, and sometimes unconventional ideas. Each easy-to-follow chapter poses...
2nd edition. — McGraw-Hill Education, 2021. — 544 p. — ISBN: 978-1-260-57109-7. Data Analytics in Accounting is designed to prepare your students with the necessary tools and skills they need to successfully perform data analytics. Using the IMPACT Cycle, the authors provide a conceptual framework to help students think through the steps needed to provide data-driven insights...
3rd Edition. — McGraw-Hill Education, 2023. — 640 p. — ISBN: 978-1-265-09445-4. Data Analytics is changing the business world — data simply surrounds us, which means all accountants must develop data analytic skills to address the needs of the profession in the future. Data Analytics for Accounting 3e is designed to prepare your students with the necessary tools and skills they...
2nd Edition. — McGraw-Hill, 2024. — 688 p. — ISBN-13: 978-1-266-18940-1. The combination of computerization and automation of many accounting tasks as well as the explosion of available data is changing the accounting profession. To address this, accountants are increasingly required to have an analytics mindset to perform their jobs. Building upon the fundamentals of...
Springer, 2022. — 626 p. — ISBN: 978-3-319-45371-2. Signal processing captures, interprets, describes, and manipulates physical phenomena. Mathematics, statistics, probability, and stochastic processes are among the signal-processing languages we use to interpret real-world phenomena, model them, and extract useful information. This book presents different kinds of signals...
Author: E Ridge Release Date: 23 Sep 2014 Imprint:Morgan Kaufmann Print Book ISBN: 9780128002186 eBook ISBN: 9780128005033 Pages: 276 Dimensions: 229 X 152 This book is a guiding reference for data analysts who must work in dynamic analytics projects. It will help them do high-quality work that is reproducible and testable despite the many disruptions in their project...
John Wiley, 2009, -228 p. Since the early 1990s, Chemical Abstracts Service (CAS) has been developing an intuitive ‘point and click’ interface to scientific information for scientists. Subsequently, SciFinder was released in 1995 as desktop software for commercial organizations, and the academic version SciFinder Scholar became available in 1998. Today these are merged into one...
2nd Edition. — Springer, 2024. — 179 p. This book introduces empirical methods for Machine Learning with a special focus on applications in Natural Language Processing (NLP) and Data Science. The authors present problems of validity, reliability, and significance and provide common solutions based on statistical methodology to solve them. The book focuses on model-based...
Wiley, 2020. — 678 p. — ISBN: 9781119486411. This book introduces the topics of Big Data, data analytics and data science and features the use of open-source data. Among the statistical topics described in this book are: data visualization, descriptive measures, probability, probability distributions, the concept of mathematical expectation, confidence intervals, and hypothesis...
Springer 2010 1st Edition., XIV, 138 p. First book to present data mining techniques in sport analysis Covers baseball, football, basketball, soccer, dog racing, and wagering, and is applicable to any organized sport Hsinchun Chen is a worldwide leader in data mining research, and Robert Schumaker is a leading researcher in sport analysis Data mining is the process of...
Manning Publication, 2019. — 289 p. — ISBN13: 978-1617296246. Build a Career in Data Science is your guide to getting your first data science job, then quickly becoming a senior employee. Industry experts Jacqueline Nolis and Emily Robinson lay out the soft skills you’ll need alongside your technical know-how in order to succeed in the field. Following their clear and simple...
Cambridge University Press, 2021. — 561 p. — ISBN: 978-1108427135. Learn about the state-of-the-art at the interface between information theory and data science with this first unified treatment of the subject. Written by leading experts in a clear, tutorial style, and using consistent notation and definitions throughout, it shows how information-theoretic methods are being...
Pearson Education, Inc., 2021. — 360 p. — (Pearson Business Analytics Series). — ISBN-13: 978-0-13-525852-1. Use Product Analytics to Understand Consumer Behavior and Change It at Scale This guide shows how to combine data science with social science to gain unprecedented insight into customer behavior so you can change it. Joanne Rodrigues-Craig bridges the gap between...
SAS Institute Inc., 2023. — 464 p. — ISBN: 978-1-63526-190-5. Advance your skills in building predictive models with SAS! Building Regression Models with SAS: A Guide for Data Scientists teaches data scientists, statisticians, and other analysts who use SAS to train regression models for prediction with large, complex data. Each chapter focuses on a particular model and...
CRC Press, 2012. — 307 p. Machine learning is rapidly becoming one of the most important areas general practice, research and development activity within computing science. This is reflected in the scale of the academic research area devoted subject and the active recruitment of machine learning specialists by international banks and financial institutions as well as companies...
Second Edition. — CRC Press, 2017. — 428 p. — ISBN: 978-981-10-4288-1. A First Course in Machine Learning by Simon Rogers and Mark Girolami is the best introductory book for ML currently available. It combines rigor and precision with accessibility, starts from a detailed explanation of the basic foundations of Bayesian analysis in the simplest of settings, and goes all the way...
2nd ed. — Taylor & Francis;Chapman and Hall/CRC, 2017. — 530 p. — (Chapman & Hall/CRC data mining and knowledge discovery). — ISBN: 9781498763974, 1051051061, 1498763979, 9781498763981, 1498763987 Data Mining: A Tutorial-Based Primer, Second Edition provides a comprehensive introduction to data mining with a focus on model building and testing, as well as on interpreting and...
2nd ed. — CRC Press, 2016. — 512 p. — (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series). — ISBN: 1498763979. Data Mining: A Tutorial-Based Primer, Second Edition provides a comprehensive introduction to data mining with a focus on model building and testing, as well as on interpreting and validating results. The text guides students to understand how data mining...
2nd ed. — CRC Press, 2016. — 512 p. — (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series). — ISBN: 1498763979. Data Mining: A Tutorial-Based Primer, Second Edition provides a comprehensive introduction to data mining with a focus on model building and testing, as well as on interpreting and validating results. The text guides students to understand how data mining...
2nd ed. — CRC Press, 2016. — 512 p. — (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series). — ISBN: 1498763979. Data Mining: A Tutorial-Based Primer, Second Edition provides a comprehensive introduction to data mining with a focus on model building and testing, as well as on interpreting and validating results. The text guides students to understand how data mining...
2nd ed. — CRC Press, 2016. — 512 p. — (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series). — ISBN: 1498763979. Data Mining: A Tutorial-Based Primer, Second Edition provides a comprehensive introduction to data mining with a focus on model building and testing, as well as on interpreting and validating results. The text guides students to understand how data mining...
Independently published, 2021. — 866 p. — ASIN B08T6K7P6L. Learn how to build a data science technology stack and perform good data science with repeatable methods. You will learn how to turn data lakes into business assets. The data science technology stack demonstrated in Practical Data Science is built from components in general use in the industry. Data scientist Mario...
World Scientific, 2008. — 263 p. — ISBN: 9812771719, 9789812771711. Series in Machine Perception and Artificial Intelligence — Vol. 69. This is the first comprehensive book dedicated entirely to the field of decision trees in data mining and covers all aspects of this important technique. Decision trees have become one of the most powerful and popular approaches in knowledge...
World Scientific, 2014. — 380 p. — 2nd ed. — (Series in Machine Perception and Artificial Intelligence). — ISBN: 981459007X, 9789814590075 Decision trees have become one of the most powerful and popular approaches in knowledge discovery and data mining it is the science of exploring large and complex bodies of data in order to discover useful patterns. Decision tree learning...
CRC Press, 2010. — 535 p. — (Data Mining and Knowledge Discovery Series). — ISBN: 1439804575, 9781439804575. Cristobal Romero, Sebastian Ventura, Mykola Pechenizkiy and Ryan S.J.d. Baker, "Handbook of Educational Data Mining" . Handbook of Educational Data Mining (EDM) provides a thorough overview of the current state of knowledge in this area. The first part of the book...
Chicago: Encyclopædia Britannica, 2006. - 69 p. Do you think you can believe all the conclusions that are reported as survey results? How can the results be true if they are based on the responses of just a few people? In this unit, you will investigate how statistics can help you study, and answer, those questions. As you explore the activities in this unit, watch for articles...
New York: Springer, 2020. — 302 p. This book discusses the current research and concepts in data science and how these can be addressed using different nature-inspired optimization techniques. Focusing on various data science problems, including classification, clustering, forecasting, and deep learning, it explores how researchers are using nature-inspired optimization...
CRC Press, 2025. — 247 p. — ISBN: 978-1-032-46672-9. You hold in your hands a comprehensive guide to creating a flourishing software development practice – one that makes a powerful impact with the software it builds. This guide describes the unique aspects of creating software-based products. It also lays out the clear practical guidance that’s necessary to construct and...
Morgan & Claypool, 2022. — 194 p. — (Synthesis Lectures on Information Concepts Retrieval and Services 76). — ISBN: 978-1636392387. Question answering (QA) systems on the Web try to provide crisp answers to information needs posed in natural language, replacing the traditional ranked list of documents. QA, posing a multitude of research challenges, has emerged as one of the...
John Wiley & Sons, Inc., 2001. - 429 p. Part one: planning the menu Chapter: setting the objective Defining the goal Profile analysis Segmentation Response Risk Activation Cross-sell and up-sell Attrition Net present value Lifetime value Choosing the modeling methodology Linear regression Logistic regression Neural networks Genetic algorithms Classification trees The adaptive...
Rudolf Mathar, Gholamreza Alirezaei, Emilio Balda, Arash Behboodi. — Springer, 2020. — 130 p. — ISBN: 978-3-030-56830-6. This book introduces the basic methodologies for successful data analytics. Matrix optimization and approximation are explained in detail and extensively applied to dimensionality reduction by principal component analysis and multidimensional scaling....
Morgan & Claypool, 2010. — 172 p. At its very core multimedia information retrieval means the process of searching for and finding multimedia documents; the corresponding research field is concerned with building the best possible multimedia search engines.The intriguing bit here is that the query itself can be amultimedia excerpt: For example,when you walk around in an unknown...
3rd ed. — Springer, 2020. — 161 p. — ISBN: 9783658297794, 9783658297787. This book deals with models and algorithms for the analysis of data sets, for example industrial process data, business data, text and structured data, image data, and biomedical data. We define the terms data analytics, data mining, knowledge discovery, and the KDD and CRISP-DM processes. Typical data...
2nd Edition. — Springer Vieweg, 2016. — 150 p. — ISBN: 978-3-658-14074-8, 978-3-658-14075-5. This book is a comprehensive introduction to the methods and algorithms and approaches of modern data analytics. It covers data preprocessing, visualization, correlation, regression, forecasting, classification, and clustering. It provides a sound mathematical basis, discusses...
Springer Vieweg, 2012. — 140 p. — ISBN10: 3834825883, ISBN13: 978-3-834-82588-9. This book is a comprehensive introduction to the methods and algorithms and approaches of modern data analytics. It covers data preprocessing, visualization, correlation, regression, forecasting, classification, and clustering. It provides a sound mathematical basis, discusses advantages and...
Pearson Education, Inc., 2020. — 1618 p. — ISBN: 978-1-5093-0697-8, 1-5093-0697-8. 2nd Edition. Now expanded and updated with modern best practices, this is the most complete guide to Microsoft’s DAX language for business intelligence, data modeling, and analytics. Expert Microsoft BI consultants Marco Russo and Alberto Ferrari help you master everything from table functions...
Springer, 2020. — 331 p. — (Studies in Big Data 56). — ISBN: 978-3-030-13961-2. This book presents a unique approach to stream data mining. Unlike the vast majority of previous approaches, which are largely based on heuristics, it highlights methods and algorithms that are mathematically justified. First, it describes how to adapt static decision trees to accommodate data...
CRC Press Taylor & Francis Group, 2014. — 622 p. — ISBN: 9781439895122, 1439895120, 9781439895146 Introduction The origins of modern day international assessments of student skills are often traced back to the First International Mathematics Study (FIMS) conducted by the International Association for the Evaluation of Educational Achievement (IEA) in the early 1960s. The...
ITexLi, 2024. — 138 p. — ISBN: 1837690790 9781837690794 1837690782 9781837690787 1837690804 9781837690800. This book provides an understanding of the most modern techniques and uses for data mining. It examines data mining to classify datasets, predict outcomes, and optimize analyses. Furthermore, the book demonstrates these technological developments by highlighting relevant...
2nd ed. — O’Reilly Media, 2017. — 283 p. — ASIN B072KFWZ8S. In this practical book, four Cloudera data scientists present a set of self-contained patterns for performing large-scale data analysis with Spark. The authors bring Spark, statistical methods, and real-world data sets together to teach you how to approach analytics problems by example. You’ll start with an...
BPB Publications, 2021 — 366 p. — ISBN: 9390684978. This pocket guide is a must for all data professionals in their day-to-day work processes. This book brings a comprehensive pack of glossaries of machine learning, deep learning, mathematics, and statistics. The extensive list of glossaries comprises concepts, processes, algorithms, data structures, techniques, and many more....
Springer, 2009, -349 p. Current search paradigms for the Web, direct access through search engines and navigational access via static taxonomies, have recently been strongly criticized. A third paradigm, dynamic taxonomies or faceted search, is gaining acceptance to the extent that it is now the de facto standard in product selection for e-commerce. This new paradigm is based...
Business Expert Press, 2021. — 486 p. — ISBN: 978-1-63157-345-3. This text provides a comprehensive overview of Data Science. With the continued advancement in storage and computing technologies, data science has emerged as one of the most desired fields in driving business decisions. Data science employs techniques and methods from many other fields, such as statistics,...
Business Expert Press, 2021. — 484 p. — ISBN: 978-1-63157-345-3. This text provides a comprehensive overview of Data Science. With the continued advancement in storage and computing technologies, data science has emerged as one of the most desired fields in driving business decisions. Data science employs techniques and methods from many other fields, such as statistics,...
Business Science Reference, 2017. — 294 p. — ISBN: 1522521488. Value creation is a prime concern for any contemporary business. This can be accomplished through the incorporation of various techniques and processes, such as the integration of analytics to improve business functions. Applying Predictive Analytics Within the Service Sector is a pivotal reference source for the...
Springer, 2018. — 199 p. — ISBN: 3319975552. This book approaches big data, artificial intelligence, machine learning, and business intelligence through the lens of Data Science. We have grown accustomed to seeing these terms mentioned time and time again in the mainstream media. However, our understanding of what they actually mean often remains limited. This book provides a...
Springer, 2018. — 199 p. — ISBN: 3319975552. This book approaches big data, artificial intelligence, machine learning, and business intelligence through the lens of Data Science. We have grown accustomed to seeing these terms mentioned time and time again in the mainstream media. However, our understanding of what they actually mean often remains limited. This book provides a...
New York: Springer, 2020. — 289 p. This textbook offers an easy-to-follow, practical guide to modern data analysis using the programming language R. The chapters cover topics such as the fundamentals of programming in R, data collection and preprocessing, including web scraping, data visualization, and statistical methods, including multivariate analysis, and feature exercises...
CRC Press, 2012. — 359 p. The Web is becoming the largest data repository in the world and presents a key driving force for a large spectrum of information technology (IT). To develop effective and intelligent web applications and services, it is critical to discover useful knowledge through analyzing large amounts of content, hidden content structures, or usage patterns of web...
CRC Press, 2014. — 612 p. The book provides readers with a central source of reference on the data management techniques currently available for large-scale data processing. Presenting chapters written by leading researchers, academics, and practitioners, it addresses the fundamental challenges associated with Big Data processing tools and techniques across a range of computing...
New York: Springer, 2017. — 214 p. This book takes its reader on a journey through Apache Giraph, a popular distributed graph processing platform designed to bring the power of big data processing to graph data. Designed as a step-by-step self-study guide for everyone interested in large-scale graph processing, it describes the fundamental abstractions of the system, its...
Springer, 2018. — 223 p. — ISBN: 978-3319735146. This book describes efficient and effective techniques for harnessing the power of Linked Data by tackling the various aspects of managing its growing volume: storing, querying, reasoning, provenance management and benchmarking. To this end, Chapter 1 introduces the main concepts of the Semantic Web and Linked Data and provides a...
SAGE Publications, 2017. — 288 p. — ISBN: 978-1506377537. An Introduction to Data Science by Jeffrey S. Saltz and Jeffrey M. Stanton is an easy-to-read, gentle introduction for people with a wide range of backgrounds into the world of data science. Needing no prior coding experience or a deep understanding of statistics, this book uses the R programming language and RStudio...
Springer, 2024. — 748 p. This comprehensive methodological book offers a much-needed answer to the lack of resources and methodological guidance in learning analytics, which has been a problem ever since the field started. The book covers all important quantitative topics in education at large as well as the latest in learning analytics and education data mining. The book also...
Springer, 2023. — 366 p. — (The Springer Series in Applied Machine Learning). This definitive guide to Machine Learning projects answers the problems an aspiring or experienced data scientist frequently has: Confused about what technology to use for your ML development? Should I use GOFAI, ANN/DNN, or Transfer Learning? Can I rely on AutoML for model development? What if the...
Wiley, 2015. — 368 p. — ISBN13: 978-1119046585. Data as a Service shows how organizations can leverage “data as a service” by providing real-life case studies on the various and innovative architectures and related patterns. Comprehensive approach to introducing data as a service in any organization A reusable and flexible SOA based architecture framework Roadmap to introduce...
Wiley, 2021. — 291 p. — (The Wiley Series in Intelligent Signal and Data Processing). — ISBN: 978-0128203538. A comprehensive review of the most recent applications of intelligent multi-modal data processing Intelligent Multi-Modal Data Processing contains a review of the most recent applications of data processing. The Editors and contributors – noted experts on the topic –...
O’Reilly Media, Inc., 2022. — 250 p. — ISBN: 978-1-098-10293-7. To succeed in data science you need some math proficiency. But not just any math. This common-sense guide provides a clear, plain English survey of the math you'll need in data science, including probability, statistics, hypothesis testing, linear algebra, machine learning, and calculus. Practical examples with...
O’Reilly Media, Inc., 2022. — 250 p. — ISBN: 978-1-098-10293-7. To succeed in data science you need some math proficiency. But not just any math. This common-sense guide provides a clear, plain English survey of the math you'll need in data science, including probability, statistics, hypothesis testing, linear algebra, machine learning, and calculus. Practical examples with...
Springer, 2015. — 223 p. The present volume Recent Trends in Intelligent and Emerging System Design to be published in the Signals and Communication Technology Series of Springer is a compilation of the recent trends in research and development in the related areas. The book attempts to cover trends in intelligent and emerging system design using a range of tools, including...
Independently published, 2021. — 352 p. — ASIN : B094766JT7. Data science has taken the planet by storm. Every field of study and area of business has been affected as people increasingly realize the worth of the incredible quantities of knowledge being generated. But to extract value from those data, one must be trained within the proper data science skills. The R programming...
IGI Global, 2021. — 324 p. — (Advances in Data Mining and Database Management (ADMDM)).— ISBN: 1799825663, 9781799825661. With exponentially increasing amounts of data accumulating in real-time, there is no reason why one should not turn data into a competitive advantage. While machine learning, driven by advancements in artificial intelligence, has made great strides, it has...
New York: Packt Publishing, 2017. — 360 p. A practical guide to help you tackle different real-time data processing and analytics problems using the best tools for each scenario With the rise of Big Data, there is an increasing need to process large amounts of data continuously, with a shorter turnaround time. Real-time data processing involves continuous input, processing and...
The MIT Press, 2014. — 544 p. — ISBN: 9780262526036. An accessible introduction and essential reference for an approach to machine learning that creates highly accurate prediction rules by combining many weak and inaccurate ones. Boosting is an approach to machine learning based on the idea of creating a highly accurate predictor by combining many weak and inaccurate “rules of...
Massachusetts Institute of Technology, 2012. — 544 p. — ISBN: 0262017180, 978-0262017183. Boosting is an approach to machine learning based on the idea of creating a highly accurate predictor by combining many weak and inaccurate "rules of thumb." A remarkably rich theory has evolved around boosting, with connections to a range of topics, including statistics, game theory,...
Springer, 1997. — 196 p. In the near future, numerous digital libraries and other large multimedia databases will be commonly available. Sophisticated search techniques will be required to find relevant information in these large digital data repositories. Because of the dramatically increasing amount of multimedia data that is made available to everybody, there is a growing...
Cham: Springer, 2022. — 231 p. How do we reveal, characterize, and exploit the structure in data? Meeting this central challenge of modern data science requires the development of new mathematical approaches to data analysis, going beyond traditional statistical methods. Fruitful mathematical methods can originate in geometry, topology, algebra, analysis, stochastics,...
Springer, 2022. — 231 p. — (Mathematics of Data 01). — ISBN: 978-3-031-06663-4. This book gives an intuitive and hands-on introduction to Topological Data Analysis (TDA). Covering a wide range of topics at levels of sophistication varying from elementary (matrix algebra) to esoteric (Grothendieck spectral sequence), it offers a mirror of data science aimed at a general...
World Scientific, 2005. — 249 p. Graphs are mathematical constructs for representing objects or systems which contain structural (i.e. relationship) information. Graphs have been used in many domains, from software engineering to artificial intelligence. However, the use of graphs in machine learning has been limited, compared to the more prevalent vector model which does not...
Springer International Publishing, Switzerland, 2016. — 478 p. — ISBN: 9783319280271 This book summarizes state-of-the-art research on the control of self-organizing nonlinear systems by a selection of contributions from leading international experts in this new emerging field. The first focus concerns recent methodological developments from both the physical and the...
Palo Alto: Hazelcast, 2018. — 13 p. The goal of streaming systems is to process big data volumes and provide useful insights into the data prior to saving it to long-term storage. The traditional approach to processing data at scale is batching; the premise of which is that all the data is available in the system of record before the processing starts. In the case of failures...
Springer, 2019. — 477 p. — (Emergence, Complexity and Computation ECC 33). — ISBN13: 978-3-319-91542-5. This book presents fundamental theoretical results for designing object-oriented programming languages for controlling swarms. It studies the logics of swarm behaviours. According to behaviourism, all behaviours can be controlled or even managed by stimuli in the environment:...
O’Reilly Media, 2013. — 405 p. — ISBN: 1449358659 O’Reilly MediaNow that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction...
New York: Columbia University Press, 2021. — 464 p. Now more than ever, content must be visual if it is to travel far. Readers everywhere are overwhelmed with a flow of data, news, and text. Visuals can cut through the noise and make it easier for readers to recognize and recall information. Yet many researchers were never taught how to present their work visually. This book...
New York: Columbia University Press, 2021. — 464 p. Now more than ever, content must be visual if it is to travel far. Readers everywhere are overwhelmed with a flow of data, news, and text. Visuals can cut through the noise and make it easier for readers to recognize and recall information. Yet many researchers were never taught how to present their work visually. This book...
CRC Press, 2023. — 269 p. — (The R Series). — ISBN: 978-1-032-23495-3. Model-based clustering and classification methods provide a systematic statistical modeling framework for cluster analysis and classification. The model-based approach has gained in popularity because it allows the problems of choosing or developing an appropriate clustering or classification method to be...
Wiley-ISTE, 2024. — 243 p. — ISBN-13: 978-1-78630-978-5. Data analytics is a crucial process in today’s data-driven world. It involves collecting, cleaning, transforming, and analyzing data to uncover useful information, insights, trends, and patterns that inform business strategy, decision-making, and process optimization. Traditionally, data analytics was a manual process...
Data Analytics Curriculum, 2024. — 180 p. — ASIN: B0DCKQVNMY. Data Mining is now a critical part of society and everyday work in the age of AI. Every educated citizen needs to understand how data mining works. This book provides a simple yet solid conceptual understanding of data mining including: Definition and history of data mining. Data mining process. Dimensionality...
O’Reilly Media, 2007. — 362 p. — ISBN: 978-0-596-52932-1. The increasing number of people contributing to the Internet, either deliberately or incidentally, has created a huge set of data that gives us millions of potential insights into user experience, marketing, personal tastes, and human behavior in general. This book provides an introduction to the emerging field of...
O’Reilly Media, 2007. — 362 p. — ISBN: 978-0-596-52932-1. The increasing number of people contributing to the Internet, either deliberately or incidentally, has created a huge set of data that gives us millions of potential insights into user experience, marketing, personal tastes, and human behavior in general. This book provides an introduction to the emerging field of...
Springer, 2010, -221 p. The advances in the generation and processing of multimedia data (e.g. documents, images, video, audio, animations, etc.) have had an immense impact on multimedia applications and, as a result, multimedia has permeated almost every aspect of our daily lives. This development has also brought with it a whole host of issues and challenges which were either...
Springer, 2020. — 151 p. Data mining is an integrated process of data cleaning, data integration, data selection, data transformation, data extraction, pattern evaluation, and knowledge presentation. The exponential growth of data opens up new challenges to extracting knowledge from large repositories consisting of vague, incomplete, and hidden information. Data mining research...
Morgan & Claypool, 2010. — 127 p. Ensemble methods have been called the most influential development in Data Mining and Machine Learning in the past decade. They combine multiple models into one usually more accurate than the best of its components. Ensembles can provide a critical boost to industrial challenges – from investment timing to drug discovery, and fraud detection to...
John Wiley, 1999. — 349 p. The subject of stochastic dynamic programming, also known as stochastic optimal control, Markov decision processes, or Markov decision chains, encompasses a wide variety of interest areas and is an important part of the curriculum in operations research, management science, engineering, and applied mathematics departments. This book is unique in its...
John Wiley, 1999. — 349 p. The subject of stochastic dynamic programming, also known as stochastic optimal control, Markov decision processes, or Markov decision chains, encompasses a wide variety of interest areas and is an important part of the curriculum in operations research, management science, engineering, and applied mathematics departments. This book is unique in its...
IGI Global, 2011. — 390 p. — ISBN: 978-1609600679, e-ISBN: 978-1609600693. Recent developments have drastically increased the volume and complexity of data available to be mined, leading researchers to explore new ways to glean non-trivial data automatically. Knowledge Discovery Practices and Emerging Applications of Data Mining: Trends and New Domains introduces the reader to...
Cambridge: Cambridge University Press, 2022. — 413 p. Data assimilation is theoretically founded on probability, statistics, control theory, information theory, linear algebra, and functional analysis. At the same time, data assimilation is a very practical subject, given its goal of estimating the posterior probability density function in realistic high-dimensional...
SAS Institute, 2018. — 164 p. Machine learning is a powerful tool with many applications, from real-time fraud detection, recommender systems, and smart cars. It will not be long before some form of machine learning is integrated into all machines. SAS offers many different solutions to use machine learning to model and predict your data. The papers included in this special...
Hoboken: Wiley, 2022. — 338 p. What happens when a researcher and a practitioner spend hours crammed in a Fiat discussing data visualization? Beyond creating beautiful charts, they found greater richness in the craft as an integrated whole. Drawing from their unconventional backgrounds, these two women take readers through a journey around perception, semantics, and intent as...
Springer, 2015. — 194 p. — ISBN: 9783319250366, 9783319250373 Seyed-Mehdi-Reza Beheshti, Boualem Benatallah, Sherif Sakr, Daniela Grigori, Hamid Reza Motahari-Nezhad, Moshe Chai Barukh, Ahmed Gater, Seung Hwan Ryu (auth.) This book starts with an introduction to process modeling and process paradigms, then explains how to query and analyze process models, and how to analyze the...
Cambridge: Cambridge University Press, 2020. — 460 p. This book introduces the field of data science in a practical and accessible manner, using a hands-on approach that assumes no prior knowledge of the subject. The foundational ideas and techniques of data science are provided independently from technology, allowing students to easily develop a firm understanding of the...
CRC Press, 2023. — 215 p. Data mining techniques and algorithms are extensively used to build real-world applications. A practical approach can be applied to data mining techniques to build applications. Once deployed, an application enables the developers to work on the users’ goals and mold the algorithms concerning users’ perspectives. Practical Data Mining Techniques and...
The Institution of Engineering and Technology, 2022. — 327 p. — (Control, Robotics, and Sensors). The energy efficiency paradigm associated with Wireless Sensor Networks (WSNs) and the Internet of Things (IoT) is a major bottleneck for the development of related technologies. To overcome this limitation, the design and development of efficient and high-performance energy...
Massachusetts Institute of Technology, Neural Information Processing Series, 2006. — 280 p. ISBN: 026219547X, 978-0262195478. Regression and classification methods based on similarity of the input to stored examples have not been widely used in applications involving very large sets of high-dimensional data. Recent advances in computational geometry and machine learning,...
Cambridge University Press, 2014. — 409 p. — ISBN13: 978-1107057135. Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides an extensive theoretical account of the fundamental ideas...
IGI Global, 2016. — 493 p. — ISBN13: 978-1522506485. In todays society, the utilization of social media platforms has become an abundant forum for individuals to post, share, tag, and, in some cases, overshare information about their daily lives. As significant amounts of data flood these venues, it has become necessary to find ways to collect and evaluate this information....
CRC Press, 2025. — 180 p. — ISBN: 9781032851129. This comprehensive guide addresses key challenges at the intersection of data science, graph learning, and privacy preservation. It begins with foundational graph theory, covering essential definitions, concepts, and various types of graphs. The book bridges the gap between theory and application, equipping readers with the...
CRC Press, 2021. — 379 p. — ISBN: 978-0-367-60887-3. The term "data" being mostly used, experimented, analyzed, and researched, "Data Science and its Applications" finds relevance in all domains of research studies including science, engineering, technology, management, mathematics, and many more in wide range of applications such as sentiment analysis, social medial analytics,...
Pearson, 2020. - 834 p. - ISBN: 9780135192016 11th.ed. For courses in decision support systems, computerized decision-making tools, and management support systems. Market-leading guide to modern analytics, for better business decisions Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support is the most comprehensive introduction to technologies...
GE. 10th ed. — Pearson, 2014. — 688 p. — ISBN: 1292009209. Decision Support and Business Intelligence Systems provides the only comprehensive, up-to-date guide to today's revolutionary management support system technologies, and showcases how they can be used for better decision-making. The 10th edition focuses on Business Intelligence (BI) and analytics for enterprise decision...
4th ed. — Pearson, 2017. — 512 p. — ISBN: 978-0134633282. For courses on Business Intelligence or Decision Support Systems. A managerial approach to understanding business intelligence systems. To help future managers use and understand analytics, Business Intelligence provides students with a solid foundation of BI that is reinforced with hands-on practice.
5th Edition. — Pearson Education, Inc., 2024. — 727 p. — ISBN-13 978-0-13-793128-6. Business Intelligence, Analytics, Data Science, and AI is your guide to the business-related impact of Artificial Intelligence (AI), Data Science, and Analytics, designed to prepare you for a managerial role. The text's vignettes and cases feature modern companies and non-profit organizations...
Pearson, 2017. — 512 p. For courses on Business Intelligence or Decision Support Systems. A managerial approach to understanding business intelligence systems. To help future managers use and understand analytics, Business Intelligence provides students with a solid foundation of BI that is reinforced with hands-on practice.
De Gruyter, 2023. — 228 p. — ISBN: 978-3-11-100082-4. The immense increase in the size and type of real-time data generated across various edge computing platforms results in unstructured databases and data silos. This edited book gathers together an international set of researchers to investigate the possibilities offered by data-fabric solutions; the volume focuses in...
Cambridge University Press, 2004, -478 p. Pattern Analysis is the process of finding general relations in a set of data, and forms the core of many disciplines, from neural networks to so-called syntactical pattern recognition, from statistical pattern recognition to machine learning and data mining. Applications of pattern analysis range from bioinformatics to document...
Cambridge University Press, 2023. — 415 p. A comprehensive overview of essential statistical concepts, useful statistical methods, data visualization, and modern computing tools for the climate sciences and many others such as geography and environmental engineering. It is an invaluable reference for students and researchers in climatology and its connected fields who wish to...
New York: Springer, 2022. — 329 p. Representation learning in heterogeneous graphs (HG) is intended to provide a meaningful vector representation for each node to facilitate downstream applications such as link prediction, personalized recommendation, node classification, etc. This task, however, is challenging not only because of the need to incorporate heterogeneous...
Elsevier, 2014, -372 p. This book is an aggregation of principles, methods, codes, and applications for the data mining and knowledge discovery in geosciences based on the author’s studies over the past 17 years. In the past 20 years, the field of data mining has seen an enormous success in terms of both wide-ranging applications and scientific methodologies. Data mining is the...
Springer, 2011. — 333 p. — ISBN: 978-0-85729-503-3. Optimization techniques have been widely adopted to implement various data mining algorithms. In addition to well-known Support Vector Machines (SVMs) (which are based on quadratic programming), different versions of Multiple Criteria Programming (MCP) have been extensively used in data separations. Since optimization based...
Springer, 2021. — 274 p. — ISBN: 978-3-662-62520-0. In this textbook, basic mathematical models used in Big Data Analytics are presented and application-oriented references to relevant practical issues are made. Necessary mathematical tools are examined and applied to current problems of data analysis, such as brand loyalty, portfolio selection, credit investigation, quality...
Chapman and Hall/CRC, 2009– 590 p. – ISBN: 1420069802, 9781420069808 Dealing with the volume, complexity, and diversity of data currently being generated by scientific experiments and simulations often causes scientists to waste productive timeScientific Data Management: Challenges, Technology, and Deployment describes cutting-edge technologies and solutions for managing and...
Packt Publishing, 2023. — 420 p. Key Features: Execute extract, transform, and load (ETL) tasks on data lakes, data warehouses, and databases. Implement effective Pandas data operation with data wrangler. Integrate pipelines with AWS data services. Book Description: Data wrangling is the process of cleaning, transforming, and organizing raw, messy, or unstructured data into a...
Springer, 2019. — 189 p. — ISBN: 978-981-13-6346-7. This book presents a compilation of current trends, technologies, and challenges in connection with Big Data. Many fields of science and engineering are data-driven, or generate huge amounts of data that are ripe for the picking. There are now more sources of data than ever before, and more means of capturing data. At the same...
Springer, 2019. — 331 p. — ISBN: 978-981-13-6350-4. This book presents a compilation of current trends, technologies, and challenges in connection with Big Data. Many fields of science and engineering are data-driven, or generate huge amounts of data that are ripe for the picking. There are now more sources of data than ever before, and more means of capturing data. At the same...
De Gruyter, 2022. — 292 p. — e-ISBN (EPUB) 9783110693256. This book aims at addressing the challenges of contemporary manufacturing in the Industry 4.0 environment as well as in future manufacturing (aka Industry 5.0) by implementing soft computing - one of the major subfields of Artificial Intelligence (AI). Learning and predicting capabilities of soft computing techniques...
Springer, 2018. — 541 p. — ISBN: 978-3319760803. This book offers a unique blend of reports on both theoretical models and their applications in the area of Intelligent Information and Database Systems. The reports cover a broad range of research topics, including advanced learning techniques, knowledge engineering, Natural Language Processing (NLP), decision support systems,...
Springer, 2018. — 541 p. — ISBN: 978-3319760803. This book offers a unique blend of reports on both theoretical models and their applications in the area of Intelligent Information and Database Systems. The reports cover a broad range of research topics, including advanced learning techniques, knowledge engineering, Natural Language Processing (NLP), decision support systems,...
Wiley, 2014. — 240 p. — ISBN 9781118794388, ASIN 1118794389. The era of Big Data as arrived, and most organizations are woefully unprepared. Slowly, many are discovering that stalwarts like Excel spreadsheets, KPIs, standard reports, and even traditional business intelligence tools aren't sufficient. These old standbys can't begin to handle today's increasing streams, volumes,...
Wiley, 2014. — 240 p. — ISBN 9781118794388, ASIN 1118794389. The era of Big Data as arrived, and most organizations are woefully unprepared. Slowly, many are discovering that stalwarts like Excel spreadsheets, KPIs, standard reports, and even traditional business intelligence tools aren't sufficient. These old standbys can't begin to handle today's increasing streams, volumes,...
Wiley, 2014. — 240 p. — ISBN 9781118794388, ASIN 1118794389. The era of Big Data as arrived, and most organizations are woefully unprepared. Slowly, many are discovering that stalwarts like Excel spreadsheets, KPIs, standard reports, and even traditional business intelligence tools aren't sufficient. These old standbys can't begin to handle today's increasing streams, volumes,...
Wiley, 2014. — 240 p. — ISBN 9781118794388, ASIN 1118794389. The era of Big Data as arrived, and most organizations are woefully unprepared. Slowly, many are discovering that stalwarts like Excel spreadsheets, KPIs, standard reports, and even traditional business intelligence tools aren't sufficient. These old standbys can't begin to handle today's increasing streams, volumes,...
Wiley, 2014. — 240 p. — ISBN 9781118794388, ASIN 1118794389. The era of Big Data as arrived, and most organizations are woefully unprepared. Slowly, many are discovering that stalwarts like Excel spreadsheets, KPIs, standard reports, and even traditional business intelligence tools aren't sufficient. These old standbys can't begin to handle today's increasing streams, volumes,...
Wiley, 2014. — 240 p. — ISBN: 978-1-118-79438-8. The era of Big Data as arrived, and most organizations are woefully unprepared. Slowly, many are discovering that stalwarts like Excel spreadsheets, KPIs, standard reports, and even traditional business intelligence tools aren't sufficient. These old standbys can't begin to handle today's increasing streams, volumes, and types of...
World Scientific Publishing, 2018. — 968 p. — ISBN 978-981-3229-68-6. This compendium provides a self-contained introduction to mathematical analysis in the field of machine learning and data mining. The mathematical analysis component of the typical mathematical curriculum for computer science students omits these very important ideas and techniques which are indispensable for...
World Scientific Publishing, 2023. — 1002 p. Preliminaries. Linear Spaces. Matrices. MatLAB Environment. Determinants. Norms and Inner Products. Eigenvalues. Similarity and Spectra. Singular Values. The K-Means Clustering. Data Sample Matrices. Least Squares Approximations and Data Mining. Dimensionality Reduction Techniques. Tensors and Exterior Algebras. Multidimensional...
Morgan Kaufmann, 2019. — 340 p. — ISBN: 978-0128146231, 0128146230. Meta-Analytics: Consensus Approaches and System Patterns for Data Analysis presents an exhaustive set of patterns for data science to use on any machine learning based data analysis task. The book virtually ensures that at least one pattern will lead to better overall system behavior than the use of traditional...
Springer, 2021. — 420 p. — ISBN: 978-981-16-1294-7. This book discusses a number of intelligent algorithms which are being developed and explored for the next-generation communication systems. These include algorithms enabled with artificial intelligence, machine learning, artificial neural networks, reinforcement learning, fuzzy logic, swarm intelligence and cognitive...
Wiley-IEEE Press, 2024. — 272 p. Comprehensive resource covering tools and techniques used for predictive analytics with practical applications across various industries. Intelligent Techniques for Predictive Data Analytics provides an in-depth introduction to the tools and techniques used for predictive analytics, covering applications in cyber security, network security, data...
Springer, 2020. — 148 p. — ISBN: 978-3-030-30670-0. This unique volume reviews the latest advances in domain adaptation in the training of machine learning algorithms for visual understanding, offering valuable insights from an international selection of experts in the field. The text presents a diverse selection of novel techniques, covering applications of object recognition,...
Boca Raton: CRC Press, 2025. — 253 p. This book discusses the fundamentals of wireless sensor networks and the prevailing mmethodsand trends of smart sensor applications. It presents analytical modeling to foster the understanding of network challenges in developing protocols for next-generation communication standards. Metaheuristic algorithms are optimization techniques that...
Chapman and Hall/CRC, 2025. — 252 p. — ISBN: 978-1003427780. This book discusses the fundamentals of wireless sensor networks and the prevailing methods and trends of smart sensor applications. It presents analytical modeling to foster the understanding of network challenges in developing protocols for next-generation communication standards. Presents an overview of the...
Academic Press, 2020. — 404 p. — ISBN: 9780128233955. In the age of data science, the rapidly increasing amount of data is a major concern in numerous applications of computing operations and data storage. Duplicated data or redundant data is a main challenge in the field of data science research. Data Deduplication Approaches: Concepts, Strategies, and Challenges shows readers...
Springer, 2004. — 207 p. The world of text mining is simultaneously a minefield and a gold mine. It is an exciting application field and an area of scientific research that is currently under rapid development. It uses techniques from well-established scientific fields (e.g. data mining, machine learning, information retrieval, natural language processing, casebased reasoning,...
Birkhäuser, 2010, -368 p. This book contains the main part of the invited papers presented at the Twelfth International Conference on Applied Stochastic Models and Data Analysis (ASMDA), which took place in Chania, Crete, Greece, May 29–June 1, 2007. ASMDA, since 1981, aims at serving as the interface between stochastic modeling and data analysis and their real-life...
Wiley-ISTE, 2019. — 286 p. — ISBN: 9781119597575. The data analysis field has been continuously growing over recent decades following the wide applications of computing and data collection along with new developments in analytical tools. Therefore, the need for publications is evident. New publications appear as printed or e-books covering the need for information from all...
Wiley-ISTE, 2019. — 286 p. — ISBN: 9781119597575. The data analysis field has been continuously growing over recent decades following the wide applications of computing and data collection along with new developments in analytical tools. Therefore, the need for publications is evident. New publications appear as printed or e-books covering the need for information from all...
New York: Springer, 2017. - 456 p. What is Data science Mathematical Preliminaries Data Munging Scores and Rankings Statistical Analysis Visualizing Data Mathematical Model Linear Algebra Linear and Logistic Regression Distance and Network Methods Machine Learning Big Data: Achieving Scale Coda
Chapman & Hall/CRC – 2007, 257 p. ISBN: 1584888326, 9781584888321 Making obscure knowledge about matrix decompositions widely available, Understanding Complex Datasets: Data Mining with Matrix Decompositions discusses the most common matrix decompositions and shows how they can be used to analyze large datasets in a broad range of application areas. Without having to understand...
Springer, 2013. — 681 p. This book is dedicated to the memory of Professor Zdzis{\l}aw Pawlak who passed away almost six year ago. He is the founder of the Polish school of Artificial Intelligence and one of the pioneers in Computer Engineering and Computer Science with worldwide influence. He was a truly great scientist, researcher, teacher and a human being. This book...
Springer, 2013. — 639 p. This book is dedicated to the memory of Professor Zdzis{\l}aw Pawlak who passed away almost six year ago. He is the founder of the Polish school of Artificial Intelligence and one of the pioneers in Computer Engineering and Computer Science with worldwide influence. He was a truly great scientist, researcher, teacher and a human being. This book...
Oregon State University Press, 2015. — 263 p. We live in the age of Big Data, awash in a sea of ever-expanding information — a constant deluge of facts, statistics, models, and projections. The human mind is quickly desensitized by the information presented in the form of numbers, and yet many important social and environmental phenomena, ranging from genocide to global climate...
Springer, 1992. — 471 p. Intelligent decision support is based on human knowledge related to a specific part of a real or abstract world. When the knowledge is gained by experience, it is induced from empirical data. The data structure, called an information system, is a record of objects described by a set of attributes. Knowledge is understood here as an ability to classify...
Academic Press/Elsevier, 2023. — 695 p. Cognitive Intelligence with Neutrosophic Statistics in Bioinformatics investigates and presents the many applications that have arisen in the last ten years using neutrosophic statistics in bioinformatics, medicine, agriculture, and cognitive science. This book will be very useful to the scientific community, appealing to audiences...
Oxford University Press, 2020. — 272 p. — ISBN 978–0–19–884439–6. Data science has never had more influence on the world. Large companies are now seeing the benefit of employing data scientists to interpret the vast amounts of data that now exists. However, the field is so new and is evolving so rapidly that the analysis produced can be haphazard at best. The 9 Pitfalls of Data...
Springer, 2016. — 695 p. This book brings together two topics which themselves are complex and multidisciplinary: the concepts of “Information Fusion” and “Context” both of which have long histories of research and development. In this Preface, we offer our perspectives on the motivations and rationales for the development of this text, and then provide our thoughts that have...
Anthony So, Thomas V. Joseph, Robert Thas John, Andrew Worsley, Dr. Samuel Asare. — Packt Publishing, 2020. — 816 p. — ISBN: 978-1-83898-126-6. Cut through the noise and get real results with a step-by-step approach to data science You already know you want to learn data science, and a smarter way to learn data science is to learn by doing. The Data Science Workshop focuses on...
IOS Press, 2008. — 157 p. The application of Data Mining (DM) technologies has shown an explosive growth in an increasing number of different areas of business, government and science. Two of the most important business areas are finance, in particular in banks and insurance companies, and e-business, such as web portals, e-commerce and ad management services. In spite of the...
Springer US, 1995. — 592 p. — ISBN: 1489912940, 9781489912947. Contributors thoroughly survey the most important statistical models used in empirical research in the social and behavioral sciences. Following a common format, each chapter introduces a model, illustrates the types of problems and data for which the model is best used, provides numerous examples that draw upon...
Canada: Wiley, For Dummies, 2020. — 601 p. — ISBN: 978-1-119-65177-2. Blockchain came to prominence as the disruptive technology that made cryptocurrencies work. Now, data pros are using blockchain technology for faster real-time analysis, better data security, and more accurate predictions. Blockchain Data Analytics For Dummies is your quick-start guide to harnessing the...
Canada: Wiley, For Dummies, 2020. — 601 p. — ISBN: 978-1-119-65177-2. Blockchain came to prominence as the disruptive technology that made cryptocurrencies work. Now, data pros are using blockchain technology for faster real-time analysis, better data security, and more accurate predictions. Blockchain Data Analytics For Dummies is your quick-start guide to harnessing the...
CRC Press, 2024. — 261 p. — (Advanced Research in Reliability and System Assurance Engineering). – ISBN: 978-1-032-56297-1. The text discusses the latest data-driven, physics-based, and hybrid approaches employed in each stage of industrial prognostics and reliability estimation. It will be a useful text for senior undergraduate, graduate students, and academic researchers in...
Chapman and Hall/CRC, 2024. — 306 p. — ISBN: 978-1032529752. Identifying and stopping the dissemination of fabricated news, hate speech, or deceptive information camouflaged as legitimate news poses a significant technological hurdle. This book presents emergent methodologies and technological approaches of natural language processing through machine learning for counteracting...
Routledge, 2018. — 284 p. — ISBN: 1138503916. Data Visualization Made Simple is a practical guide to the fundamentals, strategies, and real-world cases for data visualization, an essential skill required in today’s information-rich world. With foundations rooted in statistics, psychology, and computer science, data visualization offers practitioners in almost every field a...
Wiley, 2002. — 389 p. Marketing analysts use data mining techniques to gain a reliable understanding of customer buying habits and then use that information to develop new marketing campaigns and products. Visual mining tools introduce a world of possibilities to a much broader and non-technical audience to help them solve common business problems. Explains how to select the...
Springer, 2016. — 304 p. As the volume of scientific data and literature increases exponentially, scientists need more powerful tools and methods to process and synthesize information and to formulate new hypotheses that are most likely to be both true and important. Accelerating Discovery: Mining Unstructured Information for Hypothesis Generation describes a novel approach to...
IBM Press, 2008, -168 p. We have made a conscious effort in writing this book to reach out beyond the data mining community. We have strived to write this book for a general audience, including business executives, engineers, and students having an interest in studying this field as a potential career. The audience for this book is primarily business professionals who have data...
Cambridge University Press, 2023. — 333 p. — ISBN: 978-1-009-27220-9. Data Science is the foundation of our modern world. It underlies applications used by billions of people every day, providing new tools, forms of entertainment, economic growth, and potential solutions to difficult, complex problems. These opportunities come with significant societal consequences, raising...
CRC Press, 2010. — 196 p. Thanks to advances in electronic archiving of biodiversity data and the digitization of climate and other geophysical data, a new era in biogeography, functional ecology, and evolutionary ecology has begun. In Data Mining for Global Trends in Mountain Biodiversity, Christian Korner, Eva M. Spehn, and a team of experts from the Global Mountain...
Los Angeles: SAGE Publications, 2016. — 424 p. — ISBN: 978-1483387215. Research Basics: Design to Data Analysis in Six Steps offers a fresh and creative approach to the research process based on author James V. Spickard’s decades of teaching experience. Using an intuitive six-step model, readers learn how to craft a research question and then identify a logical process for...
New York: Routledge, 2018. — 119 p. This book discusses the application of hypothesis testing to the practice of intelligence analysis. By drawing on longstanding procedures of scientific method, particularly hypothesis testing, this book strongly critiques standard intelligence analytic practices. It shows these practices to be inadequate, as they are illogical in terms of...
Springer, 2014. — 470 p. 120 illus., 32 illus. in color. — ISBN: 9783319015958 Data analysis, machine learning and knowledge discovery are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics. They cover general methods and techniques that can be applied to a vast set of applications such as web and text mining, marketing,...
Springer, 2005, -250 p. This book brings together chapters that present a range of new directions in theories, models and ideas about cognitive information retrieval (CIR). The aim of the book has been to draw out and examine new directions in CIR research. CIR is conceptualized as complex human information related human computer interaction processes that are embedded within...
Springer, 2008, -343 p. The inspiration for this book emerged from the editors’ participation in a panel discussion on Web search engines at an annual meeting of the Association of Internet Researchers. This multidisciplinary panel of Web search researches revealed the diversity of scholars interested in Web searching, coupled with a broad range of questions, attitudes, and...
Packt Publishing, 2015. — 271 p. — ISBN: 1785284010, 9781785284014 Key Features Grow your data science expertise by filling your toolbox with proven strategies for a wide variety of cleaning challenges Familiarize yourself with the crucial data cleaning processes, and share your own clean data sets with others Complete real-world projects using data from Twitter and Stack...
Packt Publishing, 2015. — 271 p. — ISBN: 1785284010, 9781785284014 Key Features Grow your data science expertise by filling your toolbox with proven strategies for a wide variety of cleaning challenges Familiarize yourself with the crucial data cleaning processes, and share your own clean data sets with others Complete real-world projects using data from Twitter and Stack...
Springer, 2018. — 398 p. — ISBN: 9783319778006. In order to carry out data analytics, we need powerful and flexible computing software. However the software available for data analytics is often proprietary and can be expensive. This book reviews Apache tools, which are open-source and easy to use. After providing an overview of the background of data analytics, covering the...
Springer, 2018. — 398 p. — ISBN: 9783319778006. In order to carry out data analytics, we need powerful and flexible computing software. However the software available for data analytics is often proprietary and can be expensive. This book reviews Apache tools, which are open-source and easy to use. After providing an overview of the background of data analytics, covering the...
Springer, 2020. — 317 p. — ISBN: 9811524440. This book discusses topics related to bioinformatics, statistics, and machine learning, presenting the latest research in various areas of bioinformatics. It also highlights the role of computing and machine learning in knowledge extraction from biological data, and how this knowledge can be applied in fields such as drug design,...
Springer, 2020. — 317 p. — ISBN: 978-981-15-2444-8. This book discusses topics related to bioinformatics, statistics, and Machine Learning, presenting the latest research in various areas of bioinformatics. It also highlights the role of computing and Machine Learning in knowledge extraction from biological data, and how this knowledge can be applied in fields such as drug...
Springer, 2016. — 454 p. This textbook for courses on function data analysis and shape data analysis describes how to define, compare, and mathematically represent shapes, with a focus on statistical modeling and inference. It is aimed at graduate students in analysis in statistics, engineering, applied mathematics, neuroscience, biology, bioinformatics, and other related...
Springer, 2006. — 280 p. — ISBN: 0130586374, 0387257381, 9780387257389 Statistical Analysis and Optimization for VLSI: Timing and Power is the first book summarizing the state-of-the-art in the newly emerging field of statistical computer-aided design (CAD) tools. The very latest research in statistical timing and power analysis techniques is included, along with efforts to...
CRC Press, 2012. — 490 p. Machine Learning and Knowledge Discovery for Engineering Systems Health Management presents state-of-the-art tools and techniques for automatically detecting, diagnosing, and predicting the effects of adverse events in an engineered system. With contributions from many top authorities on the subject, this volume is the first to bring together the two...
Wiley-Scrivener, 2024. — 326 p. This book is a comprehensive exploration of bio-inspired optimization techniques and their potential applications in healthcare. Bio-Inspired Optimization for Medical Data Mining is a groundbreaking book that delves into the convergence of nature’s ingenious algorithms and cutting-edge healthcare technology. Through a comprehensive exploration of...
O’Reilly Media, Inc., 2024. — 170 p. — ISBN: 978-1-098-14593-4. The world's businesses ingest a combined 2.5 quintillion bytes of data every day. But how much of this vast amount of data — used to build products, power AI systems, and drive business decisions — is poor quality or just plain bad? This practical book shows you how to ensure that the data your organization relies...
O’Reilly Media, Inc., 2024. — 220 p. — ISBN: 978-1-098-14593-4. The world's businesses ingest a combined 2.5 quintillion bytes of data every day. But how much of this vast amount of data — used to build products, power AI systems, and drive business decisions — is poor quality or just plain bad? This practical book shows you how to ensure that the data your organization relies...
Syracuse University 2013. — 196 p. This book was developed for the Certificate of Data Science program at Syracuse University’s School of Information Studies. Data Science refers to an emerging area of work concerned with the collection, preparation, analysis, visualization, management, and preservation of large collections of information. Although the name Data Science seems...
Unpublished, 2012. — 157 p. This book was developed for the Certificate of Data Science program at Syracuse University's School of Information Studies.
New York: AI Publishing LLC, 2020. — 196 p. Statistical methods are an integral part of data science. Hence, a formal training in statistics is indispensable for data scientists. If you are keen on getting your foot into the lucrative data science and analysis universe, you need to have a fundamental understanding of statistical analysis. Besides, Python is a versatile...
Cambridge University Press, 2018. — 116 p. The rise of the internet and mobile telecommunications has created the possibility of using large datasets to understand behavior at unprecedented levels of temporal and geographic resolution. Online social networks attract the most users, though users of these new technologies provide their data through multiple sources, e.g. call...
Springer, 2008. — 157 p. The book written by Professor Jaroslaw Stepaniuk is dedicated to methods based on a combination of the following three closely related and rapidly growing areas: granular computing, rough sets, and knowledge discovery and data mining (KDD). In the book, the KDD foundations based on the rough set approach and granular computing are discussed together...
Wiley, 2017. — 361 p. — (Wiley and SAS Business Series). — ISBN10: 1119406331, 13 978-1119406334. A straightforward, non-technical guide to the next major marketing tool Artificial Intelligence for Marketing presents a tightly-focused introduction to machine learning, written specifically for marketing professionals. This book will not teach you to be a data scientist-but it...
Boston, Massachusetts: Harvard Business Review Press, 2020. — 120 p. — ISBN: 9781633698987, 2019046715. What Makes Analytics Strategic. They make your strategy or business model possible. Understanding Analytics Basics . The Five Essential Elements for Succeeding with Data. And the costs of missing any. Understanding the Types of Data and How They’re Captured. Increase your...
O’Reilly Media, 2020. — 348 p. — ISBN: 9781492054788. As data management and integration continue to evolve rapidly, storing all your data in one place, such as a data warehouse, is no longer scalable. In the very near future, data will need to be distributed and available for several technological solutions. With this practical book, you’ll learnhow to migrate your enterprise...
Kogan Page, 2017. — 270 p. — ASIN B06XW8DS8G. The ability to predict consumer choice is a fundamental aspect to success for any business. In the context of artificial intelligence marketing, there are a wide array of predictive analytic techniques available to achieve this purpose, each with its own unique advantages and disadvantages. Artificial Intelligence Marketing and...
Berlin: Vieweg+Teubner, 2011. - 244 p. The subject of data fitting bridges many disciplines, especially those traditionally dealing with statistics like physics, mathematics, engineering, biology, economy, or psychology, but also more recent fields like computer vision. This book addresses itself to engineers and computer scientists or corresponding undergraduates who are...
Chennai: MJP Publishers, 2019. — 383 p. If you are looking for a complete step-by-step instructions for learning R Programming for Statistical Data Analysis, Graphical Visualization and Data Mining, authors Dr. Sudhamathy & Dr. Jothi Venkateswaran’s “R Programming - An Approach to Data Analytics” is a hands-on book packed with examples and references that would help you get...
Shitalkumar R. Sukhdeve, 2020. — 261 p. Shitalkumar’s book bridges the gap between streamlined process-based project development and the intuitive skill required for gaining insights from massive amounts of data. The book highlights why many data science projects fail. While discussing the data science life cycle, Shitalkumar discussed how data science projects could be...
Springer, 2012. — 648 p. — ISBN: 1588299422. Data mining provides a set of new techniques to integrate, synthesize, and analyze data, uncovering the hidden patterns that exist within. Traditionally, techniques such as kernel learning methods, pattern recognition, and data mining, have been the domain of researchers in areas such as artificial intelligence, but leveraging these...
CreateSpace, 2018. — 154 p. The ultimate guide to data analytics is here! Learn everything you need to know TIME is the greatest commodity and asset we have Information like this can cost a fortune Business consultants will charge anywhere between $100s-$1000s of dollars This book is your golden answer, it teaches you everything you will need to leverage, capitalize, accelerate...
Springer, 2006. — 828 p. — ISBN: 3540343504, 978-3540343509. This book explores the concepts of data mining and data warehousing, a promising and flourishing frontier in database systems, and presents a broad, yet in-depth overview of the field of data mining. Data mining is a multidisciplinary field, drawing work from areas including database technology, artificial...
Chapman and Hall/CRC, 2011. — 242 p. — ISBN: 1439867631, 9781439867631 Data analysis is changing fast. Driven by a vast range of application domains and affordable tools, machine learning has become mainstream. Unsupervised data analysis, including cluster analysis, factor analysis, and low dimensionality mapping methods continually being updated, have reached new heights of...
Bloomsbury Sigma, 2018. — 272 p. — ISBN10: 147294741X; ISBN13: 978-1472947413. Algorithms are running our society, and as the Cambridge Analytica story has revealed, we don't really know what they are up to. Our increasing reliance on technology and the internet has opened a window for mathematicians and data researchers to gaze through into our lives. Using the data they are...
Springer, 2014, -224 p. In recent years, ELM has emerged as a revolutionary technique of computational intelligence, and has attracted considerable attentions. An extreme learning machine (ELM) is a single layer feed-forward neural network alike learning system, whose connections from the input layer to the hidden layer are randomly generated, while the connections from the...
N.-Y.: Chapman and Hall/CRC, 2013. — 208 p. — ISBN: 978-1-4398-0616-6. Similar to other data mining and machine learning tasks, multi-label learning suffers from dimensionality. An effective way to mitigate this problem is through dimensionality reduction, which extracts a small number of features by removing irrelevant, redundant, and noisy information. The data mining and...
Wiley, 2024. — 218 p. — ISBN: 781394223305. Understand the cutting-edge technology of semantic communications and its growing applications. Semantic communications constitute a revolution in wireless technology, combining semantic theory with wireless communication. In semantic communication, essential semantic information is encoded at the source, drastically reducing the...
IOS Press, 2003, -433 p. In recent years, considerable progress has been made in the understanding of problems of learning and generalization. In this context, intelligence basically means the ability to perform well on new data after learning a model on the basis of given data. Such problems arise in many different areas and are becoming increasingly important and crucial...
CRC Press, 2014. — 525 p. — ISBN: 9781482241396, e-ISBN: 9781482241402. Regularization, Optimization, Kernels, and Support Vector Machines offers a snapshot of the current state of the art of large-scale machine learning, providing a single multidisciplinary source for the latest research and advances in regularization, sparsity, compressed sensing, convex and large-scale...
Springer, 2021. — 241 p. — ISBN: 978-3-030-53892-7. The most crucial ability for machine learning and data science is mathematical logic for grasping their essence rather than knowledge and experience. This textbook approaches the essence of sparse estimation by considering math problems and building R programs. Each chapter introduces the notion of sparsity and provides...
Wiley-Scrivener, 2024. — 372 p. Explore the cutting-edge realms of data engineering in multimedia with Supervised and Unsupervised Data Engineering for Multimedia Data, where expert contributors delve into innovative methodologies, offering invaluable insights to empower both novices and seasoned professionals in mastering the art of manipulating multimedia data with precision...
Information Science Reference, 2010. — 428 p. — ISBN: 1605669067. The need for both organizations and government agencies to generate, collect, and utilize data in public and private sector activities is rapidly increasing, placing importance on the growth of data mining applications and tools. Data Mining in Public and Private Sectors: Organizational and Government...
Wiley, 2019. — 347 p. — ISBN: 978-1-118-82485-6. Harness the power of social media to predict customer behavior and improve sales Social media is the biggest source of Big Data. Because of this, 90% of Fortune 500 companies are investing in Big Data initiatives that will help them predict consumer behavior to produce better sales results. Written by Dr. Gabor Szabo, a Senior...
Vibrant Publishers, 2024. — 218 p. — (Self-Learning Management Series). — ISBN: 13: 978-1-63651-119-1. Data Analytics Essentials You Always Wanted To Know is an approachable and captivating guide to understanding the complicated world of data. From raw data to actionable insights – a journey through the essentials of data analytics. Data analytics is becoming increasingly...
Springer, 2019. — 289 p. — (Understanding Complex Systems). — ISBN: 978-3-030-18471-1. This book focuses on a central question in the field of complex systems: Given a fluctuating (in time or space), uni- or multi-variant sequentially measured set of experimental data (even noisy data), how should one analyze non-parametrically the data, assess underlying trends, uncover...
McGraw-Hill Education, 2019. — 352 p. — ISBN: 9781260452778. Publisher's Note: Products purchased from Third-party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Use machine learning to understand your customers, frame decisions, and drive value The business analytics world has changed, and...
McGraw-Hill Education, 2019. — 329 p. — ISBN: 978-1-26-045278-5. Use machine learning to understand your customers, frame decisions, and drive value Spreadsheet models and pivot tables were once the cutting-edge tools of business analysis. But the Big Data revolution has changed everything. Tasks that once required armies of business analysts are being automated and scaled with...
McGraw-Hill Education, 2019. — 329 p. — ISBN: 978-1-26-045278-5. Use machine learning to understand your customers, frame decisions, and drive value Spreadsheet models and pivot tables were once the cutting-edge tools of business analysis. But the Big Data revolution has changed everything. Tasks that once required armies of business analysts are being automated and scaled with...
Springer, 2018. — 373 p. — ISBN 978-3-319-91814-3. This book discusses text mining and different ways this type of data mining can be used to find implicit knowledge from text collections. The author provides the guidelines for implementing text mining systems in Java, as well as concepts and approaches. The book starts by providing detailed text preprocessing techniques and...
Springer, 2018. — 373 p. — ISBN 978-3-319-91814-3. This book discusses text mining and different ways this type of data mining can be used to find implicit knowledge from text collections. The author provides the guidelines for implementing text mining systems in Java, as well as concepts and approaches. The book starts by providing detailed text preprocessing techniques and...
Springer, 2023. — 254 p. — ISBN: 978-3-031-22154-5. This graduate-level textbook is ideally suited for lecturing on the most relevant topics of Edge Computing and its ties to Artificial Intelligence (AI) and Machine Learning (ML) approaches. The book starts from basics and gradually advances, step-by-step, to ways AI/ML concepts can help or benefit from edge computing...
Cambridge University Press, 2021. — 601 p. — ISBN: 978-1108494755. Experts in data analytics and power engineering present techniques addressing the needs of modern power systems, covering theory and applications related to power system reliability, efficiency, and security. With topics spanning large-scale and distributed optimization, statistical learning, big data analytics,...
CRC Press, 2013. — 225 p. Data analysis techniques and services are needed to mine the massive amount of data available and to extract useful knowledge from it. The service-oriented architecture (SOA) is used today as a model to develop software systems as a collection of services that are units of functionality and are interoperable in an open programming scenario....
Wiley, 2020. - 384 p. - ISBN: 1118948890 Provides a foundation in classical parametric methods of regression and classification essential for pursuing advanced topics in predictive analytics and statistical learning This book covers a broad range of topics in parametric regression and classification including multiple regression, logistic regression (binary and multinomial),...
N.Y.: Addison-Wesley, 2005. — 769 p. Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each major topic is organized into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms. Data...
2nd Edition, Global Edition. — Pearson Education Limited, 2019. — 866 p. — ISBN: 978-0-273-76922-4. Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each concept is explored thoroughly and supported with numerous examples. The text requires only a modest background in mathematics. Each major topic is...
Springer, 2005. — 474 p. Soft computing represents a collection of techniques, such as neural networks, evolutionary computation, fuzzy logic, and probabilistic reasoning. As opposed to conventional "hard" computing, these techniques tolerate imprecision and uncertainty, similar to human beings. In the recent years, successful applications of these powerful methods have been...
Springer, 2021. — 220 p. — ISBN: 9789813361072. What is deep learning for those who study physics? Is it completely different from physics? Or is it similar? In recent years, machine learning, including deep learning, has begun to be used in various physics studies. Why is that? Is knowing physics useful in machine learning? Conversely, is knowing machine learning useful in...
CRC Press, 2022. — 385 p. — ISBN: 978-0-367-67628-5. Data science is an emerging field and innovations in it need to be explored for the success of society 5.0. This book not only focuses on the practical applications of data science to achieve computational excellence, but also digs deep into the issues and implications of intelligent systems. This book highlights innovations...
ITexLi, 2022. — 104 p. — ISBN: 1839698888 9781839698880 183969887X 9781839698873 1839698896 9781839698897. In view of the considerable applications of data clustering techniques in various fields, such as engineering, artificial intelligence, machine learning, clinical medicine, biology, ecology, disease diagnosis, and business marketing, many data clustering algorithms and...
IGI Global, 2008. - 380 p. Association rules an online environment for mining association rules in Multidimensional data Current interestingness measures for association rules: what do they really measure? Mining association rules from xml data A lattice-based framework for interactively and incrementally mining web Traversal patterns Clustering and classification Determination...
Hershey: Idea Group Publishing, 2007. — 352 p. — (Advanced Topics in Data Warehousing and Mining 1). — ISBN: 1599042711. Activities in data warehousing and mining are constantly emerging. Data mining methods, algorithms, online analytical processes, data mart and practical issues consistently evolve, providing a challenge for professionals in the field. Research and Trends in...
Springer, 2021. — 939 p. — (Data-Centric Systems and Applications). — ISBN: 978-3-030-81979-8. This textbook covers all central activities of data warehousing and analytics, including transformation, preparation, aggregation, integration, and analysis. It discusses the full spectrum of the journey of data from operational/transactional databases, to data warehouses and data...
Springer, 2021. — 642 p. — (Data-Centric Systems and Applications). — ISBN: 978-3-030-81978-1. This textbook covers all central activities of data warehousing and analytics, including transformation, preparation, aggregation, integration, and analysis. It discusses the full spectrum of the journey of data from operational/transactional databases, to data warehouses and data...
IGI Global, 2009, -551 p. With the explosive growth of multimedia databases in terms of both size and variety, effective and efficient indexing and searching techniques for large-scale multimedia databases have become an urgent research topic in recent years. For data organization, the conventional approach is based on keywords or text description of a multimedia datum....
CRC Press, 2024. — 385 p. — eBook ISBN: 978-1-003-40398-2. The breadth of problems that can be solved with data science is astonishing, and this book provides the required tools and skills fot a broad audience. The reader takes a journey into the forms, uses, and abuses of data and models, and learns how to critically examine each step. Python coding and data analysis skills...
Springer, 2013. — 278 p. — ISBN: 978-1-4614-4222-6. The motivation for this book came from a conference of the North American Fuzzy Information Processing Society (NAFIPS 2010) in Toronto, Canada, during the summer of 2010. Several papers dealing with issues involved with complex problem solving and very innovative methods were reviewed by the conference publication committee...
Archive with source code. 2nd ed. — Packt, 2017. — 432 p. Learn the nature of data through software which takes the preliminary concepts right away using R and Python. Understand data modeling and visualization to perform efficient statistical analysis with this guide. Get well versed with techniques such as regression, clustering, classification, support vector machines and...
Business Expert Press, 2023. — 151 p. — ISBN-13: 978-1637425008. 5G and related digital revolutions will require tens of thousands of edge data centers. This book tells you how they work and how to get them built. We are in the middle of the edge computing revolution. Responding to demand for lower latency, telcos and others are moving servers and storage closer to end users —...
Second Edition. — Chapman and Hall/CRC, 2004. — 296 p. — ISBN: 1584883855. Since the first edition of this book appeared, computers have come to the aid of modern experimenters and data analysts, bringing with them data analysis techniques that were once beyond the calculational reach of even professional statisticians. Today, scientists in every field have access to the...
Second Edition. — Chapman and Hall/CRC, 2004. — 296 p. — ISBN: 1584883855. Since the first edition of this book appeared, computers have come to the aid of modern experimenters and data analysts, bringing with them data analysis techniques that were once beyond the calculational reach of even professional statisticians. Today, scientists in every field have access to the...
Second Edition. — N.-Y.: CRC Press, 2015. — 617 p. — e-ISBN: 978-1-4665-8527-0. This book explores the study of processing and visually representing data sets. Data visualization is closely related to information graphics, information visualization, scientific visualization, and statistical graphics. This second edition presents a better treatment of the relationship between...
CRC Press, 2023. — 253 p. — ISBN: 978-1-032-03570-3. Hybrid Intelligent Systems for Information Retrieval covers three areas along with the introduction to Intelligent IR, i.e., Optimal Information Retrieval Using Evolutionary Approaches, Semantic Search for Web Information Retrieval, and Natural Language Processing for Information Retrieval. This book covers the architectures...
Independently published, 2019. — 151 p. While exposure to data has become more or less a daily ritual for the rank-and-file knowledge worker, true understanding — treated in this book as data literacy — resides in knowing what lies behind the data. Everything from the data’s source to the specific choice of input variables, algorithmic transformations, and visual representation...
CRC Press, 2009. — 275 p. — (Series in computer science and data analysis). — ISBN: 9781584885948, 1584885947 Interactive Graphics for Data Analysis: Principles and Examples discusses exploratory data analysis (EDA) and how interactive graphical methods can help gain insights as well as generate new questions and hypotheses from datasets. The first part of the book summarizes...
Packt Publishing, 2018. — 282 p. — ISBN: 1788839684. Combine the power of analytics and cloud computing for faster and efficient insights With the ongoing data explosion, more and more organizations all over the world are slowly migrating their infrastructure to the cloud. These cloud platforms also provide their distinct analytics services to help you get faster insights from...
Packt Publishing, 2018. — 282 p. — ISBN: 1788839684. Combine the power of analytics and cloud computing for faster and efficient insights With the ongoing data explosion, more and more organizations all over the world are slowly migrating their infrastructure to the cloud. These cloud platforms also provide their distinct analytics services to help you get faster insights from...
ITexLi, 2022. — 194 p. — ISBN: 1839692677 9781839692673 1839692669 9781839692666 1839692685 9781839692680. This book presents basic concepts, ideas, and research in data mining. The availability of big data due to computerization and automation has generated an urgent need for new techniques to analyze and convert big data into useful information and knowledge. Data mining is a...
Springer, 2018. — 287 p. — ISBN: 9811300798. This book provides an overview of current issues and challenges in the fashion industry and an update on data-driven artificial intelligence (AI) techniques and their potential implementation in response to those challenges. Each chapter starts off with an example of a data-driven AI technique on a particular sector of the fashion...
Springer, 2018. — 287 p. — ISBN: 9811300798. This book provides an overview of current issues and challenges in the fashion industry and an update on data-driven artificial intelligence (AI) techniques and their potential implementation in response to those challenges. Each chapter starts off with an example of a data-driven AI technique on a particular sector of the fashion...
Packt Publishing Ltd., 2020. — 395 p. — ISBN: 978-1-80020-316-7. Master the skills necessary to hire and manage a team of highly skilled individuals to design, build, and implement applications and systems based on advanced analytics and AI In Building Analytics Teams, John K. Thompson, with his 30+ years of experience and expertise, illustrates the fundamental concepts of...
Springer, 2001. — 259 p. The application of spectral techniques in digital systems design is not new and many results have been presented in conference proceedings and archival journal papers. There are also several excellent books on this and related subjects. Nevertheless, a central reference volume fully devoted to developments in the use of spectral techniques in...
CRC Press, 2009. — 272 p. — ISBN: 1420045903, 9781420045901 Focusing on three applications of data mining, Design and Implementation of Data Mining Tools explains how to create and employ systems and tools for intrusion detection, Web page surfing prediction, and image classification. Mainly based on the authors’ own research work, the book takes a practical approach to the...
Auerbach, 2017. — 579 p. — ISBN10: 1498705472; ISBN13: 978-1498705479. Today's malware mutates randomly to avoid detection, but reactively adaptive malware is more intelligent, learning and adapting to new computer defenses on the fly. Using the same algorithms that antivirus software uses to detect viruses, reactively adaptive malware deploys those algorithms to outwit...
Berlin: de Gruyter, 2018. — 602 p. This book presents digital signal processing theories and methods and their applications in data analysis, error analysis, and statistical signal processing. Algorithms and MatLAB programming are included to guide readers step-by-step in dealing with practical difficulties. Designed in a self-contained way, the book is suitable for graduate...
Springer, 2017. — 158 p. — (Mathematics and Visualization). — ISBN: 978-3-319-71506-3. Combining theoretical and practical aspects of topology, this book provides a comprehensive and self-contained introduction to topological methods for the analysis and visualization of scientific data. Theoretical concepts are presented in a painstaking but intuitive manner, with numerous...
CRC Press, 2022. – 443 p. – (Data Science Series). – ISBN: 978-0-367-52468-5. Data Science: A First Introduction focuses on using the R programming language in Jupyter Notebooks to perform data manipulation and cleaning, create effective visualizations, and extract insights from data using classification, regression, clustering, and inference. The text emphasizes workflows that...
Boca Raton: CRC Press, 2022. — 443 p. Data Science: A First Introduction focuses on using the R programming language in Jupyter Notebooks to perform data manipulation and cleaning, create effective visualizations, and extract insights from data using classification, regression, clustering, and inference. The text emphasizes workflows that are clear, reproducible, and shareable,...
Boca Raton: CRC Press, 2024. — 217 p. Recent combinations of semantic technology and Artificial Intelligence (AI) present new techniques to build intelligent systems that identify more precise results. Semantic AI in Knowledge Graphs locates itself at the forefront of this novel development, uncovering the role of Machine Learning in extending the knowledge graphs by graph...
CRC Press, 2016. — 363 p. — ISBN: 978-1498754156. The proposed book talks about the participation of human in Big Data.How human as a component of system can help in making the decision process easier and vibrant.It studies the basic build structure for big data and also includes advanced research topics.In the field of Biological sciences, it comprises genomic and proteomic...
CRC Press, 2020. — 365 p. The book provides a systematic and comprehensive overview of visual, interactive, and analytical methods. It introduces criteria for designing interactive visual data analysis solutions, discusses factors influencing the design, and examines the involved processes. The reader is made familiar with the basics of visual encoding and gets to know numerous...
Springer, 2023. — 170 p. — ISBN: 978-3-031-15370-. This book provides a comprehensive overview of core concepts and technological foundations for the continuous engineering of Web streams. It presents various systems and applications and includes real-world examples. Last not least, it introduces the readers to RSP4J, a novel open-source project that aims to gather community...
Instill AI, 2020. — 63 p. Whether you want to learn Machine Learning for your work or research or you want to become a master, so the others pay you to do it, you need to know how it works. For knowing how it works, you NEED TO KNOW Linear Algebra, which is the foundation of Machine Learning. BUT Linear Algebra is too boundless! In this book, you will get what is NECESSARY....
Springer, 2014. — 237 p. — (Springer Theses). — ISBN: 978-3-319-06390-4. A persistent problem when finding communities in large complex networks is the so-called resolution limit. This thesis addresses this issue meticulously and introduces the important notion of resolution-limit-free. Remarkably, only a few methods possess this desirable property, and this thesis puts forward...
Springer, 2021. — 467 p. — ISBN: 978-3-030-76973-4. This graduate-level textbook aims to give a unified presentation and solution of several commonly used techniques for multivariate data analysis (MDA). Unlike similar texts, it treats the MDA problems as optimization problems on matrix manifolds defined by the MDA model parameters, allowing them to be solved using (free)...
Springer, 2021. — 467 p. — ISBN: 978-3-030-76973-4. This graduate-level textbook aims to give a unified presentation and solution of several commonly used techniques for multivariate data analysis (MDA). Unlike similar texts, it treats the MDA problems as optimization problems on matrix manifolds defined by the MDA model parameters, allowing them to be solved using (free)...
New York: Springer, 2010. — 371 p. — ISBN: 978-1-4419-1629-7 The importance of having efficient and effective methods for data mining and knowledge discovery (DM&KD), to which the present book is devoted, grows every day and numerous such methods have been developed in recent decades. There exists a great variety of different settings for the main problem studied by data mining...
Springer, 2006. — 648 p. — (Massive Computing Series, vol. 6). — ISBN: 978-0-387-34296-2; ISBN: 978-0-387-34294-8; ISBN: 978-1-4419-4173-2 This book will give the reader a perspective into the core theory and practice of data mining and knowledge discovery (DM&KD). Its chapters combine many theoretical foundations for various DM&KD methods, and they present a rich array of...
CRC Press, 2022. — 175 p. — ISBN: 978-1-032-04103-2. Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization describes such algorithms as Locally Linear Embedding (LLE), Laplacian Eigenmaps, Isomap, Semidefinite Embedding, and t-SNE to resolve the problem of dimensionality reduction in the case of non-linear relationships within the data. Underlying...
Manning Publications Co., 2025. — 256 p. — ISBN-13: 978-1633437647. Speed up common data science tasks with AI assistants like ChatGPT and Large Language Models (LLMs) from Anthropic, Cohere, AI21, Hugging Face, and more! Using ChatGPT and other AI-powered tools, you can analyze almost any kind of data with just a few short lines of plain English. In Data Analysis with LLMs,...
Boca Raton: CRC Press, 2024. — 590 p. As data continues to grow exponentially, knowledge of Data Science and Machine Learning has become more crucial than ever. Machine Learning has grown exponentially; however, the abundance of resources can be overwhelming, making it challenging for new learners. This book aims to address this disparity and cater to learners from various...
IGI Global, 2008. — 421 p. This book explains the techniques to store and retrieve multimedia information in multimedia storage systems. It describes the internal architecture of storage systems. Readers will be able to learn the internal architectures of multimedia storage systems. Many techniques are described with details. Examples are provided to help readers understand the...
Springer, 2018. - 370 p. - ISBN: 3319940295 This book explores some of the emerging scientific and technological areas in which the need for data analytics arises and is likely to play a significant role in the years to come. At the dawn of the 4th Industrial Revolution, data analytics is emerging as a force that drives towards dramatic changes in our daily lives, the workplace...
Springer, 2018. - 370 p. - ISBN: 3319940295 This book explores some of the emerging scientific and technological areas in which the need for data analytics arises and is likely to play a significant role in the years to come. At the dawn of the 4th Industrial Revolution, data analytics is emerging as a force that drives towards dramatic changes in our daily lives, the workplace...
Morgan & Claypool, 2009, -97 p. We live in an information age that requires us, more than ever, to represent, access, and use information. Over the last several decades, we have developed a modern science and technology for information retrieval, relentlessly pursuing the vision of a memex that Vannevar Bush proposed in his seminal article, As We May Think. Faceted search plays...
Pearson Education Inc., 2010 - 2nd Edition 293 p. (2 p./ sheet) This book deals with a collection of computer technologies that support managerial decision making by providing information on internal and external aspects of operations. These technologies have had a profound impact on corporate strategy, performance; and competitiveness. These technologies are collectively known...
New York: Chapman and Hall/CRC, 2021. — 483 p. Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured (labelled) and unstructured (unlabelled) data. It is the future of Artificial Intelligence (AI) and the necessity of future to make things easier and more productive. In simple...
Academic Press/Elsevier, 2023. — 314 p. Data Science for Genomics presents the foundational concepts of data science as they pertain to genomics, encompassing the process of inspecting, cleaning, transforming, and modeling data to discover useful information, suggesting conclusions, and supporting decision-making. Sections cover Data Science, Machine Learning, Deep Learning,...
CRC Press, 2022. — 483 p. — ISBN: 978-0-367-62888-8. Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured (labeled) and unstructured (unlabeled) data. It is the future of Artificial Intelligence (AI) and a necessity of the future to make things easier and more productive. In...
New York: Springer, 2021. — 271 p. This textbook grew out of notes for the ECE143 Programming for Data Analysis class that the author has been teaching at the University of California, San Diego, which is a requirement for both graduate and undergraduate degrees in Machine Learning and Data Science. This book is ideal for readers with some Python programming experience. The...
New York: Springer, 2021. — 271 p. This textbook grew out of notes for the ECE143 Programming for Data Analysis class that the author has been teaching at University of California, San Diego, which is a requirement for both graduate and undergraduate degrees in Machine Learning and Data Science. This book is ideal for readers with some Python programming experience. The book...
Singapore: Springer, 2018. — 161 p. — ISBN: 978-981-10-8675-5. This uniquely accessible book helps readers use CABology to solve real-world business problems and drive real competitive advantage. It provides reliable, concise information on the real benefits, usage and operationalization aspects of utilizing the Trio Wave of cloud, analytic and big data. Anyone who thinks that...
New York: Springer, 2017. — 132 p. This accessible introduction shows the reader how to understand, implement, adapt, and apply Learning Classifier Systems (LCSs) to interesting and difficult problems. The text builds an understanding from basic ideas and concepts. The authors first explore learning through environment interaction, and then walk through the components of LCS...
Springer, 2022. — 246 p. The book explores a new general approach to selecting — and designing — data processing techniques. Symmetry and invariance ideas behind this algebraic approach have been successful in physics, where many new theories are formulated in symmetry terms.
O’Reilly Media, 2020. — 287 p. — ISBN: 1492075256, 9781492075257. Data-driven insights are a key competitive advantage for any industry today, but deriving insights from raw data can still take days or weeks. Most organizations can’t scale data science teams fast enough to keep up with the growing amounts of data to transform. What’s the answer? Self-service data. With this...
Manning Publications Co., 2019. — 246 p. — ISBN13: 978-1617296062. Zero to AI teaches business leaders, entrepreneurs, and decision makers how to improve the success and efficiency of their businesses by taking advantage of state-of-the-art AI technologies. After a brief introduction to artificial intelligence, you’ll explore examples that demonstrate how you can use AI for...
CRC Press. 2012. — 342 p. ISBN10: 1439868247 Missing data form a problem in every scientific discipline, yet the techniques required to handle them are complicated and often lacking. One of the great ideas in statistical science — multiple imputation — fills gaps in the data with plausible values, the uncertainty of which is coded in the data itself. It also solves other...
2nd ed. — Springer, 2015. — 477 p. — ISBN: 9783662498507, EISBN: 9783662498514 This is the second edition of Wil van der Aalst’s seminal book on process mining, which now discusses the field also in the broader context of data science and big data approaches. It includes several additions and updates, e.g. on inductive mining techniques, the notion of alignments, a considerably...
Morgan Kaufmann, 2012. – 296 p. in color – ISBN: 0123944252, 9780123944252 Data virtualization can help you accomplish your goals with more flexibility and agility. Learn what it is and how and why it should be used with Data Virtualization for Business Intelligence Systems. In this book, expert author Rick van der Lans explains how data virtualization servers work, what...
Cambridge University Press, 2004, -163 p. This book begins and ends in information retrieval, but travels through a route constructed in an abstract way. In particular it goes through some of the most interesting and important models for information retrieval, a vector space model, a probabilistic model and a logical model, and shows how these three and possibly others can be...
New York: Amazon.com Services LLC, 2020. — 165 p. There is a popular joke that a data scientist is someone who knows more computer science than a statistician, and knows more statistics than a computer scientist. While to a large extent, this is true, becoming a good data scientist requires the mastery of not only these two key areas, but also some theories and models crucial...
Auerbach Publications, 2018. — 276 p. — (Data Analytics Applications in Education) — ISBN13: 978-1-4987-6927-3. The abundance of data and the rise of new quantitative and statistical techniques have created a promising area: data analytics. This combination of a culture of data-driven decision making and techniques to include domain knowledge allows organizations to exploit big...
John Wiley & Sons, Inc., 2023. — 352 p. — ISBN-13: 978-1394196210. Transform your company’s AI and data frameworks to unlock the true power of disruptive new tech. In From Data to Profit: How Businesses Leverage Data to Grow Their Top and Bottom Lines, accomplished entrepreneur and AI strategist Vineet Vashishta delivers an engaging and insightful new take on making the most of...
Springer, 2013. — 120 p. This book presents a data visualization technique that combines graph-based topology representation and dimensionality reduction methods to visualize the intrinsic data structure in a low-dimensional vector space. The application of graphs in clustering and visualization has several advantages. A graph of important edges (where edges characterize...
O’Reilly Media, 2020. — 593 p. — ISBN: 9781492060949. While several market-leading companies have successfully transformed through data- and AI-driven approaches to business, the vast majority have yet to reap the benefits. How can your business and analytics units gain a competitive advantage by capturing the potential of this predictive revolution? This practical guide...
O’Reilly Media, Inc., 2024. — 257 p. This practical guide provides a collection of techniques and best practices that are generally overlooked in most data engineering and Data Science pedagogy. A common misconception is that great data scientists are experts in the "big themes" of the discipline — Machine Learning and programming. But most of the time, these tools can only...
O’Reilly Media, Inc., 2024. — 254 p. — ISBN: 978-1-098-14647-4. This practical guide provides a collection of techniques and best practices that are generally overlooked in most data engineering and Data Science pedagogy. A common misconception is that great data scientists are experts in the "big themes" of the discipline — Machine Learning and programming. But most of the...
Springer, 2003. — 231 p. The recent explosive growth of our ability to generate and store data has created a need for new, scalable and efficient, tools for data analysis. The main focus of the discipline of knowledge discovery in databases is to address this need. Knowledge discovery in databases is the fusion of many areas that are concerned with different aspects of data...
Amazon Digital Service, 2016. - 145 p. - ASIN: B01HQTWCFS The Ultimate Beginners Crash Course To Understanding And Writing DAX! With the help of this book, you will understand why it is important to learn about DAX, and what exactly should you do to help yourself write DAX without having any problems. From the basics of measures and calculation and everything else you need to...
Amazon Digital Service, 2016. - 145 p. - ASIN: B01HQTWCFS The Ultimate Beginners Crash Course To Understanding And Writing DAX! With the help of this book, you will understand why it is important to learn about DAX, and what exactly should you do to help yourself write DAX without having any problems. From the basics of measures and calculation and everything else you need to...
Amazon Digital Service, 2016. - 145 p. - ASIN: B01HQTWCFS The Ultimate Beginners Crash Course To Understanding And Writing DAX! With the help of this book, you will understand why it is important to learn about DAX, and what exactly should you do to help yourself write DAX without having any problems. From the basics of measures and calculation and everything else you need to...
Springer, 2018. — 185 p. — ISBN: 978-3-319-98139-0. This book provides a general and comprehensible overview of supervised descriptive pattern mining, considering classic algorithms and those based on heuristics. It provides some formal definitions and a general idea about patterns, pattern mining, the usefulness of patterns in the knowledge discovery process, as well as a...
Springer, 2018. — 185 p. — ISBN: 978-3-319-98139-0. This book provides a general and comprehensible overview of supervised descriptive pattern mining, considering classic algorithms and those based on heuristics. It provides some formal definitions and a general idea about patterns, pattern mining, the usefulness of patterns in the knowledge discovery process, as well as a...
Springer, 2009 — 342 p. The authors have consolidated their research work in this volume titled Soft Computing for Data Mining Applications. The monograph gives an insight into the research in the fields of Data Mining in combination with Soft Computing methodologies. In these days, the data continues to grow exponentially. Much of the data is implicitly or explicitly...
Routledge, 2016. — 338 p. — ISBN: 9781138837959. Creating Value with Big Data Analytics provides a nuanced view of big data development, arguing that big data in itself is not a revolution but an evolution of the increasing availability of data that has been observed in recent times. Building on the authors’ extensive academic and practical knowledge, this book aims to provide...
CRC Press, 2025. — 261 p. Researchers and scientists have invested a great deal of effort into developing computers and other devices to be more capable of doing a wider range of tasks. As a result, the potential of computers to do a wide range of tasks in different environments, at varying speeds, and in smaller forms is growing dramatically every day. Currently, there is a...
CRC Press, 2023. — 330 p. — ISBN: 978-1-003-32034-0. Since the invention of computers and other similar machines, scientists and researchers have been trying very hard to enhance their capabilities to perform various tasks. As a result, the capabilities of computers are growing exponentially day by day in terms of diverse working domains, versatile jobs, processing speed, and...
Springer, 2021. — 444 p. — ISBN: 9789811616808, 9789811616815 (eBook). This book aims to develop an understanding of data sciences theory and concepts, data modeling by using various machine learning algorithms for a wide range of real world applications. In addition to providing basic principles of data processing, the book teaches standard models and algorithms to data analysis.
Springer, 2021. — 444 p. — ISBN: 978-981-16-1680-8. This book targets an audience with a basic understanding of deep learning, its architectures, and its application in the multimedia domain. Background in machine learning is helpful in exploring various aspects of deep learning. Deep learning models have a major impact on multimedia research and raised the performance bar...
Springer - 2021 - 444 p - ISBN: 9811616809 This book targets an audience with a basic understanding of deep learning, its architectures, and its application in the multimedia domain. Background in machine learning is helpful in exploring various aspects of deep learning. Deep learning models have a major impact on multimedia research and raised the performance bar substantially...
New York: Springer, 2019. — 132 p. Preliminaries Organization of This Book Feature Based Models Grid Based Models Digital Elevation Models Data Structuring in GIS Overlaying Gridded Data Regridding Spatial Disaggregation Spatial Smoothing Data Fusion Spatial Disaggregation Regridding The Rulebase System Inference Systems Translating the Spatial Problem Definition of a Fuzzy Set...
Springer, 2013. — 238 p. Fuzzy set theory was proposed by a distinguished American systems and control theorist, Professor Lotfi A. Zadeh, in 1965. Since the appearance of the fundamental Zadeh’s paper, fuzzy set theory has been applied to many areas. In particular, many clustering techniques based on fuzzy set theory have been proposed by different researchers and scholars....
Red Globe Press, 2020. — 440 p. — ISBN 978–1–352–00725–1. This exciting new textbook offers an accessible, business-focused overview of the key theoretical concepts underpinning modern data analytics. It provides engaging and practical advice on using the key software tools, including SAS Visual Analytics, R and DataRobot, that are used in organisations to help make effective...
Berlin: Logos Verlag Berlin, 2021. — 228 p. The goal of this book is to support developers in applying security checks using community knowledge. Artificial Intelligence (AI) approaches combined with Natural Language Processing (NLP) techniques are employed to identify security-related information from community websites such as Stack Overflow or GitHub. All security-related...
John Wiley & Sons, Ltd. 2011. — 268 p. ISBN: 0470699450 Statistical data are not always precise numbers, or vectors, or categories. Real data are frequently what is called fuzzy. Examples where this fuzziness is obvious are quality of life data, environmental, biological, medical, sociological and economics data. Also the results of measurements can be best described by using...
Wiley, 2016. — 390 p. — (Wiley corporate F & A). — ISBN: 9781119270348, 1119270340, 9781119270355, 1119270359, 9781119270331, 3653632692. Uncover hidden fraud and red flags using efficient data analytics Fraud Data Analytics Methodology addresses the need for clear, reliable fraud detection with a solid framework for a robust data analytic plan. By combining fraud risk...
Technics Publications, 2018. — 300 p. Master the approaches and principles of Artificial Intelligence (AI) algorithms, and apply them to Data Science projects with Python and Julia code. Aspiring and practicing Data Science and AI professionals, along with Python and Julia programmers, will practice numerous AI algorithms and develop a more holistic understanding of the field...
Technics Publications, 2018. — 300 p. Master the approaches and principles of Artificial Intelligence (AI) algorithms, and apply them to Data Science projects with Python and Julia code. Aspiring and practicing Data Science and AI professionals, along with Python and Julia programmers, will practice numerous AI algorithms and develop a more holistic understanding of the field...
Technics Publications, 2018. — 300 p. Master the approaches and principles of Artificial Intelligence (AI) algorithms, and apply them to Data Science projects with Python and Julia code. Aspiring and practicing Data Science and AI professionals, along with Python and Julia programmers, will practice numerous AI algorithms and develop a more holistic understanding of the field...
Technics Publications, 2018. — 300 p. Master the approaches and principles of Artificial Intelligence (AI) algorithms, and apply them to Data Science projects with Python and Julia code. Aspiring and practicing Data Science and AI professionals, along with Python and Julia programmers, will practice numerous AI algorithms and develop a more holistic understanding of the field...
Apress, 2020. — 425 p. — ISBN: 9781484258286, EISBN 9781484258293. This easy-to-follow guide provides R and Python recipes to help you learn and apply the top languages in the field of data analytics to your work in Microsoft Power BI. Data analytics expert and author Ryan Wade shows you how to use R and Python to perform tasks that are extremely hard, if not impossible, to do...
CRC Press, 2022. — 297 p. — ISBN: 978-1-032-07986-8. Fundamentals of Data Science is designed for students, academicians and practitioners with a complete walkthrough right from the foundational groundwork required to outlining all the concepts, techniques and tools required to understand Data Science. Data Science is an umbrella term for the non-traditional techniques and...
New York: Chapman and Hall/CRC, 2021. — 297 p. Fundamentals of Data Science is designed for students, academicians and practitioners with a complete walkthrough right from the foundational groundwork required to outlining all the concepts, techniques and tools required to understand Data Science.Data Science is an umbrella term for the non-traditional techniques and...
John Wiley/IEEE Press, 2013, -167 p. Constraint programming is an area in computer science that has gained increasing interest in recent years. Constraint programming is based on its powerful framework called constraint satisfaction problem (CSP). CSP is a general framework that can formalize many real-world combinatorial problems such as resource allocation, car sequencing,...
Cambridge: Cambridge University Press, 2015. — 210 p. — ISBN: 978-1-107-13057-9. Teacher tenure is a problem. Teacher tenure is a solution. Fracking is safe. Fracking causes earthquakes. Our kids are over-tested. Our kids are not tested enough. We read claims like these in the newspaper every day, often with no justification other than 'it feels right'. How can we figure out...
Oxford University Press, 2015. — 320 p. — ISBN: 0199378320, 9780199378326 Technological advancements in computing have changed how data is leveraged by businesses to develop, grow, and innovate. In recent years, leading analytical companies have begun to realize the value in their vast holdings of customer data and have found ways to leverage this untapped potential. Now, more...
Donny Wals, 2023. — 373 p. Learn Core Data from the ground up using new and modern techniques. This book has a total of 12 chapters designed to help you master Core Data from the basics all the way to the interesting and complex details. Sample code for this book is provided in SwiftUI and UIKit so it's as useful as possible no matter which UI framework you prefer.
Donny Wals, 2023. — 373 p. Learn Core Data from the ground up using new and modern techniques. This book has a total of 12 chapters designed to help you master Core Data from the basics to the interesting and complex details. Sample code for this book is provided in SwiftUI and UIKit so it's as useful as possible no matter which UI framework you prefer.
IGI Global – 2008, 366 p. ISBN: 1599049821, 9781599049823 Pattern Recognition has a long history of applications to data analysis in business, military and social economic activities. While the aim of pattern recognition is to discover the pattern of a data set, the size of the data set is closely related to the methodology one adopts for analysis. Intelligent Data Analysis:...
Idea Group Publishing, 2003. — 485 p. — ISBN: 1591400511. A Survey of Bayesian Data Mining Control of Inductive Bias in Supervised Learning Using Evolutionary Computation: A Wrapper-Based Approach Cooperative Learning and Virtual Reality-Based Visualization for Data Mining Feature Selection in Data Mining Parallel and Distributed Data Mining through Parallel Skeletons and...
IGI Global, 2023. — – 3143 p. — ISBN: 9781799892212. Big Data and Machine Learning are driving the Fourth Industrial Revolution. With the age of Big Data upon us, we risk drowning in a flood of digital data. Big Data has now become a critical part of both the business world and daily life, as the synthesis and synergy of Machine Learning and Big Data has enormous potential. Big...
IGI Global, 2023. — 2500 p. — ISBN: 978-1799892205. Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big data has now become a critical part of both the business world and daily life, as the synthesis and synergy of machine learning and big data have enormous potential. Big...
Springer, 2005. — 276 p. — (Advanced Information and Knowledge Processing). — ISBN: 978-3-540-24522-3. This book systematically presents how to utilize fuzzy neural networks, multi-layer perceptron (MLP) neural networks, radial basis function (RBF) neural networks, genetic algorithms (GAs), and support vector machines (SVMs) in data mining tasks. Fuzzy logic mimics the...
Springer, 2022. — 371 p. — (Undergraduate Topics in Computer Science). — ISBN: 3030976440. This book is about the harmonious synthesis of functional programming and numerical computation . It shows how the expressiveness of OCaml allows for the fast and safe development of data science applications . Step by step, the authors build up to use cases drawn from many areas of Data...
Information Science Reference, 2010. — 517 p. — ISBN: 978-1-61520-757-2. As the applications of data mining, the non-trivial extraction of implicit information in a data set, have expanded in recent years, so has the need for techniques that are tolerable to imprecision, uncertainty, and approximation. Intelligent Soft Computation and Evolving Data Mining: Integrating Advanced...
Springer, 2022. — 371 p. — (Undergraduate Topics in Computer Science). — ISBN: 3030976440. This book is about the harmonious synthesis of functional programming and numerical computation . It shows how the expressiveness of OCaml allows for the fast and safe development of data science applications . Step by step, the authors build up to use cases drawn from many areas of Data...
Elsevier Inc, Academic Press Inc,1977. — 279 p. Graphical representations as a discipline. Application of graphical multivariate techniques in policy sciences, Graphics: from alpha to omega in data analysis. On Chernoff faces. A comparison of graphical representations of multidimensional psychiatric diagnostic data. Facial representation of multivariate data. Multivariate...
Atlantis Press, Amsterdam, Paris, Beijing, 2013. XI, 337 p. — ISBN: 978-94-91216-79-4 (Print), 978-94-91216-80-0 (E-Book ). This book presents the new development of computation intelligence for traffic, transportation and mobility, the main contents include traffic safety, mobility analysis, intelligent transportation system, smart vehicle, transportation behavior, driver...
Springer, 2005. – 174 p. – ISBN: 0387242465, 9780387242477 The focus of Mining Sequential Patterns from Large Data Sets is on sequential pattern mining. In many applications, such as bioinformatics, web access traces, system utilization logs, etc., the data is naturally in the form of sequences. This information has been of great interest for analyzing the sequential data to...
Xiaofei Wang, Yiwen Han, Victor C. M. Leung, Dusit Niyato, Xueqiang Yan, Xu Chen. — Springer, 2020. — 166 p. — ISBN: 978-981-15-6185-6. As an important enabler for changing people’s lives, advances in artificial intelligence (AI)-based applications and services are on the rise, despite being hindered by efficiency and latency issues. By focusing on deep learning as the most...
Boca Raton: CRC Press, 2022. — 253 p. Artificial Intelligence and Causal Inference address the recent development of relationships between artificial intelligence (AI) and causal inference. Despite significant progress in AI, a great challenge in AI development we are still facing is to understand mechanisms underlying intelligence, including reasoning, planning, and...
Boca Raton: CRC Press, 2022. — 253 p. Artificial Intelligence and Causal Inference address the recent development of relationships between artificial intelligence (AI) and causal inference. Despite significant progress in AI, a great challenge in AI development we are still facing is the understanding mechanism underlying intelligence, including reasoning, planning, and...
Yang Wang, Zhidong Li, Bin Liang, Hongda Tian, Ting Guo, Fang Chen. — CRC Press, 2025. — 188 p. — ISBN: 978-1-032-75415-4. This book presents, for the first time, data analytics for smart infrastructures. The authors draw on over a decade’s experience working with industry and demonstrating the capabilities of data analytics for infrastructure and asset management. The volume...
World Scientific Publishing Company, 2010. - 360 p. Regarding the set of all feature attributes in a given database as the universal set, this monograph discusses various nonadditive set functions that describe the interaction among the contributions from feature attributes towards a considered target attribute. Then, the relevant nonlinear integrals are investigated. These...
The MIT Press, 2023. — 201 p. How the use of Machine Learning to analyze art images has revived formalism in art history, presenting a golden opportunity for art historians and computer scientists to learn from one another. Though formalism is an essential tool for art historians, much recent art history has focused on the social and political aspects of art. But now art...
Cambridge University Press, 2016. — 334 p. — ISBN: 978-1-107-12352-6 Providing a unique approach to machine learning, this text contains fresh and intuitive, yet rigorous, descriptions of all fundamental concepts necessary to conduct research, build products, tinker, and play. By prioritizing geometric intuition, algorithmic thinking, and practical real world applications in...
Cambridge University Press, 2016. — 301 p. — ISBN10: 1107123526, ISBN13: 978-1107123526. Providing a unique approach to machine learning, this text contains fresh and intuitive, yet rigorous, descriptions of all fundamental concepts necessary to conduct research, build products, tinker, and play. By prioritizing geometric intuition, algorithmic thinking, and practical real...
Chapman&Hall/CRC Press, 2012. — 694. Part I Foundational Issues Classification in Astronomy: Past and Present Searching the Heavens: Astronomy, Computation, Statistics, Data Mining, and Philosophy Probability and Statistics in Astronomical Machine Learning and Data Mining Part II Astronomical Applications Section 1 Source Identification Automated Science Processing for the...
Nova Science Publishers, 2022. — 196 p. The United States, as the world’s sole superpower, is seeing its position wane as China and Russia look to reassert themselves as global powers, especially when seeing what is going on regarding Taiwan and Ukraine. These are significant challenges confronting President Biden and his national security team. Moreover, there are many other...
CRC Press, 2022. — 110 p. — ISBN: 9781003050315. The aim of the book is to introduce the state-of-the-art technologies in the field of brain and cognitive intelligence used in robotics control, particularly in studying how the brain learns and controls complex motor skills and how to replicate these in robots. This will be the first book that systematically and thoroughly deals...
CRC Press, 2025. — 206 p. — ISBN: 978-1-032-56906-2. The rise of cloud computing and Generative artificial intelligence (AI) has revolutionized data analytics pipelines. Analysts can collect, store, and process vast datasets in the cloud with high availability and scalability, and also leverage Generative AI to query and visualize datasets in natural languages. This pioneering...
Cambridge University Press, 2023. — 243 p. The 'data revolution' offers many new opportunities for research in the social sciences. Increasingly, social and political interactions can be recorded digitally, leading to vast amounts of new data available for research. This poses new challenges for organizing and processing research data. This comprehensive introduction covers the...
2nd ed. — Springer, 2015. — 249 p. — (Texts in Computer Science). — ISBN: 9781447167495, 9781447167501. This successful textbook on predictive text mining offers a unified perspective on a rapidly evolving field, integrating topics spanning the varied disciplines of data science, machine learning, databases, and computational linguistics. Serving also as a practical guide, this...
Part 1 Interpreting patterns and analytical methodologies. Overview The Quality of Data. What Are Patterns? Part 2 Real-world examples and operations. Border Protection. Money Laundering and Financial Crimes. Money Service Businesses. Fraud Analytics. Part 3 Information sharing and fusion centers. Information-Sharing Protocols. Information-Sharing Systems.
Morgan & Claypool, 2009, -109 p. As information becomes more ubiquitous and the demands that searchers have on search systems grow, there is a need to support search behaviors beyond simple lookup. Information seeking is the process or activity of attempting to obtain information in both human and technological contexts. Exploratory search describes an information-seeking...
World Scientific, 2015. — 322 p. — ISBN: 981469665X, 9789814696654 Multimedia databases address a growing number of commercially important applications such as media on demand, surveillance systems and medical systems. The book presents essential and relevant techniques and algorithms to develop and implement large multimedia database systems. The traditional relational...
Boston: The MIT Press, 2015. - 505 p. The advent of widespread fast computing has enabled us to work on more complex problems and to build and analyze more complex models. This book provides an introduction to one of the primary methodologies for research in this new field of knowledge. Agent-based modeling (ABM) offers a new way of doing science: by conducting computer-based...
New York: Springer, 2016. — 656 p. This book offers a snapshot of the state-of-the-art in classification at the interface between statistics, computer science and application fields. The contributions span a broad spectrum, from theoretical developments to practical applications; they all share a strong computational component. The topics addressed are from the following...
Springer, 2016. — 640 p. — (Studies in Classification, Data Analysis, and Knowledge). — ISBN: 9783319252247 EISBN 9783319252261 This book offers a snapshot of the state-of-the-art in classification at the interface between statistics, computer science and application fields. The contributions span a broad spectrum, from theoretical developments to practical applications; they...
CRC Press; Taylor & Francis Group, 2009. — 389 p. — (Chapman & Hall/CRC; Computational Science Series). — ISBN13: 978-1-4200-6954-9. Suitable for senior undergraduate and first-year graduate students, this book covers the varied and interconnected aspects of Grid computing, including how to design a system infrastructure and Grid portal; job submission and scheduling; Grid...
Springer, 1998. — 211 p. In this book we discuss the important aspects of document computing and recommend technologies and techniques for document management, with an emphasis on the processes that are appropriate when computers are used to create, access, and publish documents. We describe the nature of documents, their components and structure, and how they can be...
Graham.Williams@togaware.com, 2021. — 1542 p. This book has been a work in progress since 1995, just as Data Science continues to develop and expand into our lives. Every section (eventually) will begin with a date that indicates the currency of the section — when it was last reviewed and/or updated. Since beginning the survival guide books in 1995 they have grown in all kinds...
The MIT Press, 2021. — 310 p. — ISBN: 9780262044196. How to use data as a tool for empowerment rather than oppression. Big data can be used for good–from tracking disease to exposing human rights violations–and for bad–implementing surveillance and control. Data inevitably represents the ideologies of those who control its use; data analytics and algorithms too often exclude...
New York: Manning Publications, 2020. — 123 p. Field-tested tips, tricks, and design patterns for building Machine Learning projects that are deployable, maintainable, and secure from concept to production. In Machine Learning Engineering, you will learn: Evaluating data science problems to find the most effective solution Scoping a machine learning project for usage...
Packt Publishing, 2017. — 327 p. — ISBN: 978-1785886188. True PDF Key Features A unique book that focuses on developing practical skills to make informed business decisions using predictive analytics Apply the principles and techniques of predictive analytics to effectively interpret big data Solve real-world analytical problems with the help of practical case studies and...
Packt Publishing, 2017. — 327 p. — ISBN: 978-1785886188. True PDF Key Features A unique book that focuses on developing practical skills to make informed business decisions using predictive analytics Apply the principles and techniques of predictive analytics to effectively interpret big data Solve real-world analytical problems with the help of practical case studies and...
Packt, 2020. - 322 p. - ISBN: 9781838826031 Understand data analysis concepts to make accurate decisions based on data using Python programming and Jupyter Notebook Key Features Find out how to use Python code to extract insights from data using real-world examples Work with structured data and free text sources to answer questions and add value using data Perform data analysis...
Packt Publishing, 2015. — 164 p. — ISBN: 1783554991, 9781783554997 Apache Mahout is a scalable machine learning library with algorithms for clustering, classification, and recommendations. It empowers users to analyze patterns in large, diverse, and complex datasets faster and more scalably. This book is an all-inclusive guide to analyzing large and complex datasets using...
4th Edition. — Morgan Kaufmann, 2017. — 655 p. The book offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated fourth edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going,...
John Wiley, 2001. — 288. Textbooks on fuzzy systems, system theory, time-series and data analysis traditionally describe a theoretical framework or particular methodology and then apply these concepts to problems. I believe that such a strategy is not optimal, nor docs it seems adequate to deal with the current challenges in science and engineering. Researchers in system and...
John Wiley, 2001. — 288. Textbooks on fuzzy systems, system theory, time-series and data analysis traditionally describe a theoretical framework or particular methodology and then apply these concepts to problems. I believe that such a strategy is not optimal, nor docs it seems adequate to deal with the current challenges in science and engineering. Researchers in system and...
Kluwer Academic Publishers, 2002. — 228 p. — ISBM: 079237746X, e-ISBN: 0306470128. An overview of data mining An overview on evolutionary algorithms Inductive logic programming The logic grammars based genetic programming system (LogenPro) Data Mining applications using LogenPro Applying LogenPro for rule learning Medical Data Mining Conclusion and future work Appendix a the...
Springer, 2012. — 180 p. — (Springer Theses: Recognizing Outstanding Ph.D. Research). Nearly everyone knows K-means algorithm in the fields of data mining and business intelligence. But the ever-emerging data with extremely complicated characteristics bring new challenges to this "old" algorithm. This book addresses these challenges and makes novel contributions in establishing...
Xindong Wu, Vipin Kumar The Top Ten Algorithms in Data Mining. Chapman&Hall/CRC. 2009. 208 Identifying some of the most influential algorithms that are widely used in the data mining community, The Top Ten Algorithms in Data Mining provides a description of each algorithm, discusses its impact, and reviews current and future research. Thoroughly evaluated by independent...
Springer, 2013. — 67 p. — ISBN: 978-1441998774, e-ISBN: 978-1441998781. Data uncertainty is a concept closely related with most real life applications that involve data collection and interpretation. Examples can be found in data acquired with biomedical instruments or other experimental techniques. Integration of robust optimization in the existing data mining techniques aim...
New York: Association for Computing Machinery and Morgan & Claypool, 2016. — 531 p. — ISBN: 978-1-97000-119-8. The growth of “big data” created unprecedented opportunities to leverage computational and statistical approaches to turn raw data into actionable knowledge that can support various application tasks. This is especially true for the optimization of decision making in...
IGI Publishing, 2008, -337 p. The objective of this book is to develop a theoretical framework for information retrieval (IR) interaction and to further discuss its implications in the design and evaluation of IR systems in the digital age. This book builds on the author’s award-winning dissertation titled Planned and Situated Aspects in Interactive IR: Patterns of User...
Chapman and Hall/CRC, 2018. — 701 p. — (Chapman & Hall/CRC Mathematical and Computational Biology). — ISBN: 1498725783, 9781498725781. Big Data in Omics and Imaging: Association Analysis addresses the recent development of association analysis and machine learning for both population and family genomic data in sequencing era. It is unique in that it presents both hypothesis...
Chapman and Hall/CRC, 2022. — 394 p. — ISBN: 978-1-003-02854-3. Artificial Intelligence and Causal Inference address the recent development of relationships between artificial intelligence (AI) and causal inference. Despite significant progress in AI, a great challenge in AI development we are still facing is to understand mechanisms underlying intelligence, including...
Boca Raton: CRC Press, 2013. — 284 p. — ISBN: 1466585838, 9781466513709 Data mining has witnessed substantial advances in recent decades. New research questions and practical challenges have arisen from emerging areas and applications within the various fields closely related to human daily life, e.g. social media and social networking. This book aims to bridge the gap between...
Wiley-IEEE Press, 2009. — 358 p. — ISBN: 978-0-470-27680-8. This is the first book to take a truly comprehensive look at clustering. It begins with an introduction to cluster analysis and goes on to explore: proximity measures; hierarchical clustering; partition clustering; neural network-based clustering; kernel-based clustering; sequential data clustering; large-scale data...
IEEE Press / John Wiley, 2008, -370 p. Clustering has become an increasingly important topic in recent years, caused by the glut of data from a wide variety of disciplines. However, due to the lack of good communication among these communities, similar theories or algorithms are redeveloped many times, causing unnecessary waste of time and resources. Furthermore, different...
Springer, 2012. — 284 p. This book offers a systematic introduction to the clustering algorithms for intuitionistic fuzzy values, the latest research results in intuitionistic fuzzy aggregation techniques, the extended results in interval-valued intuitionistic fuzzy environments, and their applications in multi-attribute decision making, such as supply chain management,...
New York: Springer, 2012. - 315 p. "Intuitionistic Fuzzy Information Aggregation: Theory and Applications" is the first book to provide a thorough and systematic introduction to intuitionistic fuzzy aggregation methods, the correlation, distance and similarity measures of intuitionistic fuzzy sets and various decision-making models and approaches based on the above-mentioned...
Springer, 2014. — 291 p. — ISBN: 9783642452529. Virtually all nontrivial and modern service related problems and systems involve data volumes and types that clearly fall into what is presently meant as "big data", that is, are huge, heterogeneous, complex, distributed, etc. Data mining is a series of processes which include collecting and accumulating data, modeling phenomena,...
CRC Press, 2022. - 181 p. - ISBN: 0367770490 This book focuses on the theory, practice, and concepts of process mining techniques in detail, especially pattern recognition in a diverse society, science, medicine, engineering, and business. The book deliberates several perspectives on process mining techniques in the broader context of data science and big data approaches....
Independently published, 2021. — 301 p. — ISBN B08R7KDSJC. This book presents different ways to visualize data in ggplot2. There is no theoretical explanation of each analysis method. The analysis uses data for FIFA World Cup 2014 & 2018. Visualize the Amount Data Import Basic Bar Chart Switches the x- and y-axes Adds a Plot Title Specify the Font Modifying Order Specify the...
IGI Global, 2012, -335 p. The decreasing costs of consumer electronic devices such as digital cameras and digital camcorders, along with the ease of transportation facilitated by the Internet, has lead to a phenomenal rise in the amount of multimedia data. Now multimedia data comprising of images, audio, and video is becoming increasingly common. Given that this trend of...
Academic Press, 2019. — 180 p. — ISBN: 978-0-12-817216-2. This book introduces the essential ideas behind all key algorithms and techniques for data mining and machine learning, along with optimization techniques. Its strong formal mathematical approach, well selected examples, and practical software recommendations help readers develop confidence in their data modeling skills...
N.-Y.: CRC Perss, 2013. — 347 p. — e-ISBN: 978-1-4822-1936-4. Technologies have enabled us to collect massive amounts of data in many fields. However, our pace of discovering useful information and knowledge from these data falls far behind our pace of collecting the data. Conversion of massive data into useful information and knowledge involves two steps: (1) mining patterns...
Springer, 2018. This book introduces the concepts, applications and development of data science in the telecommunications industry by focusing on advanced machine learning and data mining methodologies in the wireless networks domain. Mining Over Air describes the problems and their solutions for wireless network performance and quality, device quality readiness and returns...
CRC Press, 2016. — 285 p. — (Mathematical and Computational Biology). — ISBN: 9781498724548 Demystifies Biomedical and Biological Big Data Analyses Big Data Analysis for Bioinformatics and Biomedical Discoveries provides a practical guide to the nuts and bolts of Big Data, enabling you to quickly and effectively harness the power of Big Data to make groundbreaking biological...
5th Ed. — Kendall Hunt Publishing Company, 2015. — 739 p. — ISBN: 978-1465277732. This comprehensive textbook focuses on service-oriented computing, web application development, and service-oriented system integration. It covers WSDL services, RESTful services, their development and applications, XML and related technologies, Web data management and database accesses,...
CRC Press, 2021. — 256 p. — ISBN: 978-0-367-71227-3. The book provides knowledge in the Building Information Model (BIM)-enabled cognitive computing methods for smart built environment involving cognitive network capabilities for smart buildings, integrating Augmented Reality/Mixed Reality in cognitive building concepts, cognitive Internet of Things (CIoT) for smart cities,...
Cham: Springer, 2022. — 86 p. This SpringerBrief provides the first systematic review of the existing works of cohesive subgraph search (CSS) over large heterogeneous information networks (HINs). It also covers the research breakthroughs in this area, including models, algorithms, and comparison studies in recent years. This SpringerBrief offers a list of promising future...
Wiley–2006, 396 p. ISBN: 0471681601, 9780471681601. A visually intuitive approach to statistical data analysis. Visual Statistics brings the most complex and advanced statistical methods within reach of those with little statistical training by using animated graphics of the data. Using ViSta: The Visual Statistics System-developed by Forrest Young and Pedro Valero-Mora and...
Boca Raton: CRC Press, 2022. — 289 p. — ISBN: 0367721465. This book introduces both conceptual and procedural aspects of cutting-edge data science methods, such as dynamic data visualization, artificial neural networks, ensemble methods, and text mining. There are at least two unique elements that can set the book apart from its rivals. First, most students in social sciences,...
Springer, 2015, -90 p. Human action analysis plays a critical role in human-centered computing, as in many applications we require to analyze and understand human actions in the big video data, such as video surveillance, health care, and human–computer interaction. In this book, we focus on the human action analysis techniques based on randomized trees, which can handle the...
New York: Springer, 2010. — 600 p. With the recent flourishing research activities on Web search and mining, social network analysis, information network analysis, information retrieval, link analysis, and structural data mining, research on link mining has been rapidly growing, forming a new field of data mining. Traditional data mining focuses on "flat" or “isolated” data in...
Chapman and Hall/CRC, 2013. — 440 p. — (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series). — ISBN: 1439895945, 9781439895948 Going beyond performing simple analyses, researchers involved in the highly dynamic field of computational intelligent data analysis design algorithms that solve increasingly complex data problems in changing environments, including economic,...
World Scientific Publishing Co Pte Ltd, 2017. — 744 p. — (East China Normal University Scientific Reports). — ISBN10: 9813227125, 13 978-9813227125. Data analysis is of upmost importance in the mining of big data, where knowledge discovery and inference are the basis for intelligent systems to support the real world applications. However, the process involves knowledge...
World Scientific Publishing, 2018. — 221 p. — (East China Normal University Scientific Reports: Volume 6). — ISBN: 978-981-3227-12-5. Data analysis is of upmost importance in the mining of big data, where knowledge discovery and inference are the basis for intelligent systems to support the real world applications. However, the process involves knowledge acquisition,...
Springer, 1999. — 349 p. Two volumes consisting of Foundations and Applications provide the current status of theoretical and empirical developments in "computing with words". In philosophy, the twentieth century is said to be the century of language. This is mainly due to Wittgenstein who said: "The meaning of a word is its use in the language game". "The concept game is a...
Springer, 1999. — 349 p. Two volumes consisting of Foundations and Applications provide the current status of theoretical and empirical developments in "computing with words". In philosophy, the twentieth century is said to be the century of language. This is mainly due to Wittgenstein who said: "The meaning of a word is its use in the language game". "The concept game is a...
Springer, 1999. — 610 p. Two volumes (Vol. 1,) consisting of Foundations and Applications provide the current status of theoretical and empirical developments in "computing with words". In philosophy, the twentieth century is said to be the century of language. This is mainly due to Wittgenstein who said: "The meaning of a word is its use in the language game". "The concept...
Springer, 1999. — 610 p. Two volumes consisting of Foundations and Applications provide the current status of theoretical and empirical developments in "computing with words". In philosophy, the twentieth century is said to be the century of language. This is mainly due to Wittgenstein who said: "The meaning of a word is its use in the language game". "The concept game is a...
London: Wiley-ISTE, 2022. — 478 p. The scientific field of data analysis is constantly expanding due to the rapid growth of the computer industry and the wide applicability of computational and algorithmic techniques, in conjunction with new advances in statistical, stochastic, and analytic tools. There is a constant need for new, high-quality publications to cover the recent...
London: Wiley-ISTE, 2022. — 448 p. The scientific field of data analysis is constantly expanding due to the rapid growth of the computer industry and the wide applicability of computational and algorithmic techniques, in conjunction with new advances in statistical, stochastic, and analytic tools. There is a constant need for new, high-quality publications to cover the recent...
Apress Berkeley, 2023. — 340 p. — eBook ISBN: 978-1-4842-9810-7. Outlines a multi-dimensional perspective on moving from traditional marketing to AI-based marketing. Highlights automated identification and profiling of customers and markets through AI. Examines the role of interactive digital assistants in effective and smart communication with customers. This book provides...
2nd Edition. — Cambridge University Press, 2020. — 777 p. — ISBN: 978-1-108-47398-9. The fundamental algorithms in data mining and machine learning form the basis of data science, utilizing automated methods to analyze patterns and models for all kinds of data in applications ranging from scientific discovery to business analytics. This textbook for senior undergraduate and...
Springer, 2000. — 270. With the unprecedented rate at which data is being collected today in almost all fields of human endeavor, there is an emerging economic and scientific need to extract useful information from it. For example, many companies already have data-warehouses in the terabyte range (e.g., FedEx, Walmart). The World Wide Web has an estimated 800 million web-pages....
Cambridge University Press, 2014. — 660 p. — ISBN10: 0521766338. The fundamental algorithms in data mining and analysis form the basis for the emerging field of data science, which includes automated methods to analyze patterns and models for all kinds of data, with applications ranging from scientific discovery to business intelligence and analytics. This textbook for senior...
Elsevier, 2007. — 448 p. — ISBN13: 978-0-12-372515-8. ISBN10: 0-12-372515-1. Data Engineering has become a necessary and critical activity for business, engineering, and scientific organizations as the move to service oriented architecture and web services moves into full swing. Notably, the US Department of Defense is mandating that all of its agencies and contractors assume a...
Springer, 2017. — 389 p. This monograph is dedicated to systematic presentation of main trends, approaches, and technologies of computational intelligence (CI). The introduction includes brief review of CI history, the authors’ interpretation of CI, the analysis of main CI components: technologies, models, methods, and applications. The interconnections among these components...
Arthur Zhang, 2017. — 280 p. — ISBN: 1 B06XHR9TJC. This practical guide is accessible for the reader who is relatively new to the field of data analytics, while still remaining robust and detailed enough to function as a helpful guide to those already experienced in the field. Data science is expanding in breadth and growing rapidly in importance as technology rapidly...
Arthur Zhang, 2017. — 280 p. — ISBN: 1: B06XHR9TJC. This practical guide is accessible for the reader who is relatively new to the field of data analytics, while still remaining robust and detailed enough to function as a helpful guide to those already experienced in the field. Data science is expanding in breadth and growing rapidly in importance as technology rapidly...
Morgan & Claypool Publishers, 2019. — 198 p. — (Synthesis Lectures on Data Mining and Knowledge Discovery, 17). — ISBN: 978-1-681-73520-7. Unstructured text, as one of the most important data forms, plays a crucial role in data-driven decision making in domains ranging from social networking and information retrieval to scientific research and healthcare informatics. In many...
Springer, 2008, -307 p. The dynamics, diversity, heterogeneity, and complexity of information on the dramatically growing Internet and other information retrieval systems have posed an unprecedented challenge to traditional information retrieval techniques and theories. These challenges have driven the need for more interactive, intuitive, and effective systems for information...
New York: Chapman & Hall/CRC, 2019. — 273 p. The advent of 'Big Data' has brought with it a rapid diversification of data sources, requiring analysis that accounts for the fact that these data have often been generated and recorded for different reasons. Data integration involves combining data residing in different sources to enable statistical inference, or to generate new...
CRC Press, 2020. - 216 p. - ISBN: 9780367897062 A Tour of Data Science: Learn R and Python in Parallel covers the fundamentals of data science, including programming, statistics, optimization, and machine learning in a single short book. It does not cover everything, but rather, teaches the key concepts and topics in Data Science. It also covers two of the most popular...
IGI Global, 2010. — 362 p. — ISBN: 1609601025, 9781609601027. Large volumes of data and complex problems inspire research in computing and data, text, and Web mining. However, analyzing data is not sufficient, as it has to be presented visually with analytical capabilities. Visual Analytics and Interactive Technologies: Data, Text and Web Mining Applications is a comprehensive...
Springer, 2018. — 148 p. — ISBN: 978-3-319-94934-5. In this book, the authors first address the research issues by providing a motivating scenario, followed by the exploration of the principles and techniques of the challenging topics. Then they solve the raised research issues by developing a series of methodologies. More specifically, the authors study the query optimization...
Sringer, 2022. — 123 p. — (Simula SpringerBriefs on Computing 09). — ISBN: 978-3-030-83943-7. This is an open-access book. It offers comprehensive, self-contained knowledge on Mobile Edge Computing (MEC), which is a very promising technology for achieving intelligence in next-generation wireless communications and computing networks. The book starts with the basic concepts, key...
De Gruyter, 2017. — 440 p. — ISBN: 978-3110518702. This book develops a self-contained framework for machine learning based on dynamic fuzzy model via elabrating on concepts and algorithms. It further explains mechanisms for agent learning and agent ubiquitous learning, and discusses design of Bayesian quantum stochastic learning for various environments. Demonstrating theories...
Chapman & Hall/CRC Press, 2009. — 304 p. This book is the very first monograph on multimedia data mining. The book presents the state-of-the-art materials in the area of multimedia data mining with three distinguishing features. First, this book brings together the literature of multimedia data mining and defines what this area is about, and puts multimedia data mining in...
Information Science Reference, 2009. — 395 p. — ISBN: 978-1-60566-405-7. There is often a large number of association rules discovered in data mining practice, making it difficult for users to identify those that are of particular interest to them. Therefore, it is important to remove insignificant rules and prune redundancy as well as summarize, visualize, and post-mine the...
CRC Press, 2012. — 215 p. This book is for people interested in feature selection research. Feature selection is an essential technique for dimensionality reduction and relevance detection. In advanced data mining software packages, such as SAS Enterpriser Miner, SPSS Modeler, Weka, Spider, Orange, and scikits.learn, feature selection procedures are indispensable components for...
Leanpub, 2023. — 588 p. — ISBN: 978-0-359-43937-9. The book is recommended by the Apache Ignite community (see menu Resources->Learn Ignite)Apache Ignite is one of the most widely used open-source memory-centric distributed, caching, and processing platforms. This allows the users to use the platform as an in-memory computing framework or a full functional persistence data...
Early Release . — O’Reilly, 2017. — 67 p. Feature engineering is essential to applied machine learning, but using domain knowledge to strengthen your predictive models can be difficult and expensive. To help fill the information gap on feature engineering, this complete hands-on guide teaches beginning-to-intermediate data scientists how to work with this widely practiced but...
Springer Singapore, 2023. — 105 p. — (Reports of China’s Basic Research) — eBook ISBN: 978-981-99-3228-3. Covers a wide range of disciplines and areas such as cognition and reasoning and computer vision. Achieves a series of landmark results in cognitive mechanisms and models. Creates two competition platforms by the end of this project This book discusses fruitful achievements...
CRC Press, 2022. — 195 p. — ISBN: 978-0-367-52068-7. Mikhail Zhilkin, a data scientist who has worked on projects ranging from Candy Crush games to Premier League football players’ physical performance, shares his strong views on some of the best and, more importantly, worst practices in data analytics and business intelligence. Why data science is hard, what pitfalls analysts...
New York: Morgan & Claypool, 2020. — 129 p. Graphs are useful data structures in complex real-life applications such as modeling physical systems, learning molecular fingerprints, controlling traffic networks, and recommending friends in social networks. However, these tasks require dealing with non-Euclidean graph data that contains rich relational information between elements...
CRC Press, Taylor & Francis Group, 2022. — 229 p. — ISBN: 978-0-367-65426-9. Co-location pattern mining detects sets of features frequently located close to each other. This book focuses on data mining for co-location patterns, a valid method for identifying patterns from all types of data and applying them in business intelligence and analytics. It explains the fundamentals of...
Springer, 2019. — 175 p. — ISBN: 9811505004. This book highlights the applications of data mining technologies in structural dynamic analysis, including structural design, optimization, parameter identification, model updating, damage identification, in civil, mechanical, and aerospace engineering. These engineering applications require precise structural design, fabrication,...
2nd Edition. — CRC Press, 2025, — 364 p. — (Chapman & Hall/CRC Machine Learning & Pattern Recognition). — ISBN: 978-1-032-96061-6. Ensemble methods that train multiple learners and combine them to use, with Boosting and Bagging as representatives, are well-known Machine Learning approaches. It has become common sense that an ensemble is usually significantly more accurate than...
CRC Press, Taylor & Francis Group, 2012. — 218 p. — ISBN: 978-1439830031, e-ISBN: 978-1439830055. An up-to-date, self-contained introduction to a state-of-the-art machine learning approach, Ensemble Methods: Foundations and Algorithms shows how these accurate methods are used in real-world tasks. It gives you the necessary groundwork to carry out further research in this...
Springer, 2021. — 370 p. — (International Series in Operations Research & Management Science 312). — ISBN: 978-3-030-75161-6. This book brings Data Envelopment Analysis (DEA) based techniques and big data together to explore the novel uses and potentials of DEA under big data. These areas are of widespread interest to researchers and practitioners alike. Considering the vast...
Springer, 2024. — 162 p. — (Synthesis Lectures on Computer Science). — ISBN: 978-3-031-42312-3. This book illustrates how to achieve effective dimension reduction and data clustering. The authors explain how to accomplish this by utilizing the advanced dynamic graph learning technique in the era of big data. The book begins by providing background on dynamic graph learning. The...
Oxford University Press, 2023. — 177 p. — ISBN: 978 – 0 – 19 – 286773 – 5. Essential Statistics for Data Science: A Concise Crash Course is for students entering a serious graduate program or advanced undergraduate teaching in data science without knowing enough statistics. The three-part text introduces readers to the basics of probability and random variables and guides them...
IGI Global, 2007. — 291 p. Knowledge discovery and data mining (KDD) is dedicated to exploring meaningful information from a large volume of data. Knowledge Discovery and Data Mining: Challenges and Realities is the most comprehensive reference publication for researchers and real-world data mining practitioners to advance knowledge discovery from low-quality data. This Premier...
Academic Press, 2022. — 998 p. — ISBN: 9780323951135. Knowledge is Power in Four Dimensions: Models to Forecast Future Paradigms, Forecasting Energy for Tomorrow’s World with Mathematical Modeling and Python Programming Driven Artificial Intelligence delivers knowledge on key infrastructure topics in AI technology and energy. Sections lay the groundwork for tomorrow’s computing...
Springer, 2021. — 363 p. — ISBN: 978-981-16-0099-9. This book discusses various aspects of text data mining. Unlike other books that focus on machine learning or databases, it approaches text data mining from a natural language processing (NLP) perspective. The book offers a detailed introduction to the fundamental theories and methods of text data mining, ranging from...
Chapman and Hall/CRC, 2017. — 354 p. — ISBN: 978-1498742245. Principles of research data collection and management is the first practical book written for researchers and research team members covering the do’s and don’ts about handling data for research. The book covers basic types of data and fundamentals of how data grow, move and change over time. Focusing on...
Boca Raton: CRC Press/Chapman & Hall, 2023. — 634 p. An observational study infers the effects caused by treatment, policy, program, intervention, or exposure in a context in which randomized experimentation is unethical or impractical. One task in an observational study is to adjust for visible pretreatment differences between the treated and control groups. Multivariate...
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