Springer, 2015. — 239 p. This book is about elite types of thought processes and architectures for big data and modeling that can enable smart and real-time decisions. Today’s world is abundant with data and models; many new problems are formulated and solved everyday; many artificial-intelligence, mathematical, and statistical models exist, but there is a lack of scholarly...
Abu-Salih B., Wongthongtham P., Zhu D., Chan K., Rudra A. — Springer, 2021. — 226 p. — ISBN: 9789813366510. This book focuses on data and how modern business firms use social data, specifically Online Social Networks (OSNs) incorporated as part of the infrastructure for a number of emerging applications such as personalized recommendation systems, opinion analysis, expertise...
Springer, 2015. — 288 p. — ISBN: 3319165976, 9783319165974, 9783319165981 The work presented in this book is a combination of theoretical advancements of big data analysis, cloud computing, and their potential applications in scientific computing. The theoretical advancements are supported with illustrative examples and its applications in handling real life problems. The...
2nd Edition. — Wiley, 2019. — 384 p. — SBN: 978-8126579518. Big data is a term used for massive mounds of structured, semi-structured and unstructured data that have the potential to be mined for information. The real power lies not just in having colossal data but in what insights can be drawn from this data to facilitate better and faster decisions. This book big data and...
Chapman and Hall/CRC, 2014. — 562 p. — ISBN: 9781466578371 Due to market forces and technological evolution, Big Data computing is developing at an increasing rate. A wide variety of novel approaches and tools have emerged to tackle the challenges of Big Data, creating both more opportunities and more challenges for students and professionals in the field of data computation...
Springer, 2020. — 194 p. — ISBN: 978-3-030-48098-1. This contributed volume discusses essential topics and the fundamentals for Big Data Emergency Management and primarily focuses on the application of Big Data for Emergency Management. It walks the reader through the state of the art, in different facets of the big disaster data field. This includes many elements that are...
Cham: Springer International Publishing, 2018. — 110 p. — ISBN: 978-3-319-91851-8. The big data tsunami changes the perspective of industrial and academic research in how they address both foundational questions and practical applications. This calls for a paradigm shift in algorithms and the underlying mathematical techniques. There is a need to understand foundational...
Butterworth-Heinemann, 2015. — 316 p. — ISBN: 978-0-12-801967-2. This text introduces state-of-the-art concepts and technologies surrounding big data, providing users with a strategic framework that can be used to combat terrorism and reduce crime.
Packt Publishing, 2018. — 593 p. — ISBN: 1788835824. A comprehensive end-to-end guide that gives hands-on practice in big data and Artificial Intelligence Key Features Learn to build and run a big data application with sample code Explore examples to implement activities that a big data architect performs Use Machine Learning and AI for structured and unstructured data Book...
Edward Elgar Publishing, 2023. — 335 p. This state-of-the-art Handbook provides an overview of the role of big data analytics in various areas of business and commerce, including accounting, finance, marketing, human resources, operations management, fashion retailing, information systems, and social media. It provides innovative ways of overcoming the challenges of big data...
Springer International Publishing AG, part of Springer Nature, 2018. — 219 p. — ISBN: 978-3319764719. This timely text/reference reviews the state of the art of big data analytics, with a particular focus on practical applications. An authoritative selection of leading international researchers present detailed analyses of existing trends for storing and analyzing big data,...
Academic Press, 2020. — 299 p. — ISBN: 978-0-12-814482-4. This book provides a unified framework for biomedical data analysis using varied machine learning and statistical techniques. It presents insights on biomedical data processing, innovative clustering algorithms and techniques, and connections between statistical analysis and clustering. The book introduces and discusses...
Springer, 2021. — 392 p. — ISBN: 978-3-030-73056-7. This book shows digital economy has become one of the most sought out solutions to sustainable development and economic growth of nations. This book discusses the implications of both artificial intelligence and computational intelligence in the digital economy providing a holistic view on AI education, economics, finance,...
Springer, 2022. — 441 p. — (Springer Series in the Data Sciences). — ISBN: 3031067835. This book presents a variety of advanced statistical methods at a level suitable for advanced undergraduate and graduate students as well as for others interested in familiarizing themselves with these important subjects. It proceeds to illustrate these methods in the context of real-life...
Cham: Springer International Publishing, 2017. — 104 p. — ISBN: 978-3-319-62990-2. This book reviews a number of issues including: Why data generated from POC machines are considered as Big Data. What are the challenges in storing, managing, extracting knowledge from data from POC devices? Why is it inefficient to use traditional data analysis with big data? What are the...
Nova Science Publishers, Inc., 2021. — 378 p. — ISBN: 978-1536193336. The main objective of this book is to write about issues, challenges, opportunities, and solutions in novel research projects about big data in various domains. The topics of interest include, but are not limited to: efficient storage, management, and sharing large scale of data; novel approaches for...
Elsevier, 2018. — 464 p. — ISBN: 978-0-12-811968-6. This book brings together experts from academia, industry and regulatory agencies who share their understanding and discuss the big data analytics applications for power systems diagnostics, operation and control. Recent developments in monitoring systems and sensor networks dramatically increase the variety, volume and...
Princeton Architectural Press, 2021. — 177 p. — ISBN: 978-1616899158. Big Data, Big Design provides designers with the tools they need to harness the potential of machine learning and put it to use for good through thoughtful, human-centered, intentional design. Enter the world of Machine Learning (ML) and Artificial Intelligence (AI) through a design lens in this thoughtful...
Springer International Publishing, 2016. — 328 p. — ISBN: 978-3-319-33742-5. This book provides an overview of the resources and research projects that are bringing Big Data and High Performance Computing (HPC) on converging tracks. It demystifies Big Data and HPC for the reader by covering the primary resources, middleware, applications, and tools that enable the usage of HPC...
CRC Press, 2024. — 251 p. — ISBN: 978-1-032-66538-2. The text comprehensively discusses smart grid operations and the use of big data analytics in overcoming the existing challenges. It covers smart power generation, transmission, and distribution, and explains energy management systems, artificial intelligence, and machine learning–based computing. •Presents a detailed...
Apress, 2020. — 289 p. Gain a practical introduction to DataOps, a new discipline for delivering data science at scale inspired by practices at companies such as Facebook, Uber, LinkedIn, Twitter, and eBay. Organizations need more than the latest AI algorithms, hottest tools, and best people to turn data into insight-driven action and useful analytical data products. Processes...
Technical University of Munich, 2016. — 197 p. This thesis addresses several challenges in the area of human-machine communication for applications in data mining and visualization. An Immersive Visual Data Mining (IVDM) system is presented, which allows the interactive display of images in a Cave Automatic Virtual Environment (CAVE). New (interactive) algorithms based on...
Arshdeep Bahga & Vijay Madisetti, 2019. — 542 p. — ISBN: 978-1-949978-00-1. We are living in the dawn of what has been termed as the "Fourth Industrial Revolution", which is marked through the emergence of "cyber-physical systems" where software interfaces seamlessly over networks with physical systems, such as sensors, smartphones, vehicles, power grids or buildings, to create...
Springer, 2018. — 197 p. — ISBN: 978-3319633596. This book looks at the increasing interest in running microscopy processing algorithms on big image data by presenting the theoretical and architectural underpinnings of a web image processing pipeline (WIPP). Software-based methods and infrastructure components for processing big data microscopy experiments are presented to...
Cengage Learning PTR, USA, 2014. — 433 p. — ISBN13: 978-1-305-11508-8. Our world is being transformed by big data. The growth of the Internet and the rapid expansion of mobile communications and related technologies have created a massive flow of data--both structured and unstructured. The availability and use of that data has enormous implications for businesses and for the...
The Institution of Engineering and Technology, 2021. — 418 p. Blockchain and machine learning technologies can mitigate healthcare issues such as slow access to medical data, poor system interoperability, lack of patient agency, and data quality and quantity for medical research. Blockchain technology facilitates and secures the storage of information in such a way that doctors...
Springer, 2018. — 500 p. — ISBN: 9811314012. The book presents the latest, high-quality, technical contributions and research findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies. It discusses state-of-the-art topics as well as the challenges and solutions for...
Springer, 2019. — 542 p. — ISBN: 9789811312748 The volume on Data Management, Analytics and Innovations presents the latest high-quality technical contributions and research results in the areas of data management and smart computing, big data management, artificial intelligence and data analytics along with advances in network technologies. It deals with the state-of-the-art...
Wiley, 2021. — 371 p. — ISBN: 978-1119701828. Learn Big Data from the ground up with this complete and up-to-date resource from leaders in the field Big Data: Concepts, Technology, and Architecture delivers a comprehensive treatment of Big Data tools, terminology, and technology perfectly suited to a wide range of business professionals, academic researchers, and students....
Cham: Springer, 2023. — 296 p. This open-access book surveys the progress in addressing selected challenges related to the growth of big data in combination with increasingly complicated hardware. It emerged from a research program established by the German Research Foundation (DFG) as a priority program SPP 1736 on Algorithmics for Big Data where researchers from theoretical...
2nd edition. — Packt Publishing, 2019. — 566 p. — ISBN: 978-1-78712-132-4. Create innovative informatics solutions with TIBCO Spotfire Key Features Get to grips with a variety of TIBCO Spotfire features to create professional applications Use different data and visualization techniques to build interactive analyses. Simplify BI processes and understand data analysis and...
Springer, 2013. — 477 p. This book presents current progress on challenges related to Big Data management by focusing on the particular challenges associated with context-aware data-intensive applications and services. The book is a state-of-the-art reference discussing progress made, as well as prompting future directions on the theories, practices, standards and strategies...
Chapman and Hall/CRC, 2022. — 254 p. — ISBN13: 978-1032028767. Big Data Analytics in Oncology with R serves as the analytical approach for big data analysis. There is hugely progressed in advanced computation with R. But there are several technical challenges faced to work with big data. These challenges are with computational aspects and work with the fastest way to get...
Berlin: de Gruyter, 2021. — 168 p. Application of discrete domain wavelet filter for signal denoising. The secret sharing scheme in defense and big data analytics. Recent advances in digital image smoothing: A review. Double exponential smoothing and its tuning parameters: A re-exploration. Effect of smoothing on big data governed by polynomial memory. Heteroskedasticity in...
University of Siegen, 2016. — 181 p. Any adaptive analysis of domain specific data demands fully generic, sophisticated, and customizable methods. A mathematical representation and modeling of domain specific requirements ensure achieving this goal. In talent analytics and job knowledge management era, a mathematical model should resolve person-job-fit and skill mismatch...
O’Reilly Media, Inc., 2023. — 57 p. — ISBN: 978-1-098-14658-0. This report will introduce you to the real-time analytics applications that organizations are building to power new operational workflows. You’ll learn about the purposes of these applications, the value they provide, and the technologies needed to create them. Once you’ve completed this report, you’ll know how...
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...
Chapman and Hall/CRC, 2016. — 470 p. — (Chapman & Hall/CRC Handbooks of Modern Statistical Methods). — ISBN: 1482249081, 9781482249088 Buhlmann P., Drineas P., Kane M., van der Laan M. Handbook of Big Data provides a state-of-the-art overview of the analysis of large-scale datasets. Featuring contributions from well-known experts in statistics and computer science, this...
Morgan Kaufmann, 2016. — 477 p. — ISBN: 978-0-12-805394-2 Big Data: Principles and Paradigms captures the state-of-the-art research on the architectural aspects, technologies, and applications of Big Data. The book identifies potential future directions and technologies that facilitate insight into numerous scientific, business, and consumer applications. To help realize Big...
University of Braunschweig – Institute of Technology, 2018. — 215 p. Weather forecasts serve as a fundamentally important input to the flight planning process and can carry an inherent measure of uncertainty. Such uncertainties thus lead to a trajectory being planned that does not represent the most cost-optimal option. Weather forecast generation relies on numerical...
SAGE Publications, 2022. — 232 p. — (The SAGE Quantitative Research Kit). — ISBN: 1526423812. This book offers a much-needed critical introduction to data mining and ‘big data. Supported by multiple case studies and examples, the authors provide: Digestible overviews of key terms and concepts relevant to using social media data in quantitative research. A critical review of...
London: Routledge, 2017. — 179 p. The importance of social media as a way to monitor an electoral campaign is well established. Day-by-day, hour-by-hour evaluation of the evolution of online ideas and opinion allows observers and scholars to monitor trends and momentum in public opinion well before traditional polls. However, there are difficulties in recording and analyzing...
Wiley-ISTE, 2018. — 436 p. — ISBN: 1848217366, 9781848217362 For 200 years, industry mastered iron, fire, strength and energy. Today, electronics shapes our everyday objects, integrating chips: computers, phones, keys, games, household appliances, etc. Data, software and calculation frame the conduct of humankind, and everything is translated into data. The first volume in this...
Springer International Publishing, 2017. — 332 p. — ISBN: 978-3-319-54840-1. This book describes the current state of the art in big-data analytics, from a technology and hardware architecture perspective. The presentation is designed to be accessible to a broad audience, with general knowledge of hardware design and some interest in big-data analytics. Coverage includes...
Taylor & Francis Group, CRC Press, 2022. — 276 p. — ISBN: 978-1-032-18766-2. Big Data Analytics: Applications in Business and Marketing explores the concepts and applications related to marketing and business as well as future research directions. It also examines how this emerging field could be extended to performance management and decision-making. Investment in business and...
Springer, 2019. — 137 p. — ISBN: 978-3030235505. This volume constitutes the proceedings of the 8th International Congress on BIGDATA 2019, held as Part of SCF 2019 in San Diego, CA, USA .Held as Part of the Services Conference Federation, June 25–30. The 9 full papers presented in this volume were carefully reviewed and selected from 14 submissions. They cover topics such as:...
Springer, 2014. — 100 p. — ISBN: 3319062441, 9783319062457 This Springer Brief provides a comprehensive overview of the background and recent developments of big data. The value chain of big data is divided into four phases: data generation, data acquisition, data storage and data analysis. For each phase, the book introduces the general background, discusses technical...
Springer, 2018. — 388 p. — ISBN: 978-3-319-95465-3. This edited volume focuses on big data implications for computational social science and humanities from management to usage. The first part of the book covers geographic data, text corpus data, and social media data, and exemplifies their concrete applications in a wide range of fields including anthropology, economics,...
Cham: Springer International Publishing, 2018. — 132 p. — ISBN: 978-3-319-96116-3. This book provides a comprehensive picture of mobile big data starting from data sources to mobile data driven applications. Mobile Big Data comprises two main components: an overview of mobile big data, and the case studies based on real-world data recently collected by one of the largest mobile...
CRC Press, 2022. — 301 p. — ISBN: 978-0-367-56481-0. The digital age has transformed business opportunities and strategies in a resolutely practical and data-driven project universe. This book is a comprehensive and analytical source on entrepreneurship and Big Data that prospective entrepreneurs must know before embarking upon an entrepreneurial journey in this present age of...
CRC Press, 2021. — 305 p. — ISBN: 978-0-367-77603-9. Most applications generate large datasets, like social networking and social influence programs, smart cities applications, smart house environments, Cloud applications, public web sites, scientific experiments and simulations, data warehouse, monitoring platforms, and e-government services. Data grows rapidly, since...
New York: Springer, 2020. — 397 p. This handbook provides comprehensive knowledge and includes an overview of the current state-of-the-art of Big Data Privacy, with chapters written by international world leaders from academia and industry working in this field. The first part of this book offers a review of security challenges in critical infrastructure and offers methods that...
Springer, 2021. — 288 p. — ISBN: 978-3-030-74752-7. This handbook discusses challenges and limitations in existing solutions and presents state-of-the-art advances from both academia and industry, in big data analytics and digital forensics. The second chapter comprehensively reviews IoT security, privacy, and forensics literature, focusing on IoT and unmanned aerial vehicles...
Wiley, 2015. — 392 p. — ISBN: 9781119011552 A step-by-step guide to data mining applications in CRM. Following a handbook approach, this book bridges the gap between analytics and their use in everyday marketing, providing guidance on solving real business problems using data mining techniques. The book is organized into three parts. Part one provides a methodological roadmap,...
Springer, 2014. — 310 p. The field of data mining has made significant and far-reaching advances over the past three decades. Because of its potential power for solving complex problems, data mining has been successfully applied to diverse areas such as business, engineering, social media, and biological science. Many of these applications search for patterns in complex...
Icon Books, 2017. — 176 p. — ISBN: 9781785782343. Is the Brexit vote successful in big data politics or the end of democracy? Why do airlines overbook, and why do banks get it wrong so often? How does big data enable Netflix to forecast a hit, CERN to find the Higgs boson, and medics to discover if red wine is good for you? And how are companies using big data to benefit from...
New York: Springer, 2016. - 56 p. Offers a condensed guide: short in length, but rich in notions and content for business people who do not have much time No technical language: completely understandable even for people with no technical background Deals with many different aspects of a big data strategy Created from direct experience in the field, as well as a series of...
John Wiley & Sons, Inc., 2024. — 461 p. — ISBN: 978-1394213245. 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,...
Packt Publishing, 2024. — 297 p. Key Features: Leverage Kubernetes in a cloud environment to integrate seamlessly with a variety of tools. Explore best practices for optimizing the performance of big data pipelines. Build end-to-end data pipelines and discover real-world use cases using popular tools like Spark, Airflow, and Kafka. Book Description: In today's data-driven...
Springer, 2021. — 411 p. — ISBN: 978-3-030-68175-3. This book presents the foundations of the Big Data research and innovation ecosystem and the associated enablers that facilitate delivering value from data for business and society. It provides insights into the key elements for research and innovation, technical architectures, business models, skills, and best practices to...
Elsevier, Academic Press, 2020. — 405 p. — (Advances in Ubiquitous sensing applications for healthcare. Volume Six). — ISBN 978-0-12-818014-3. Rapid developments of sensor technology and automated control technology have contributed tremendously to the building of real-time intelligence systems. With the advancements in sensor technologies and machine-to-machine communications,...
Springer International Publishing, 2019. — 294 p. — ISBN: 978-3-030-03358-3, 978-3-030-03359-0. This book introduces the latest research findings in cloud, edge, fog, and mist computing and their applications in various fields using geospatial data. It solves a number of problems of cloud computing and big data, such as scheduling, security issues using different techniques,...
CRC Press, 2022. — 291 p. — (Wireless Communications and Networking Technologies: Classifications, Advancement, and Applications). — ISBN: 978-0-367-75442-6. This reference text covers intelligent computing through the Internet of Things (IoT) and Big Data in Vehicular Environment in a single volume. The text covers important topics including topology-based routing protocols,...
Harvard Business Review Press, 2014. — 240 p. When the term “big data” first came on the scene, bestselling author Tom Davenport (Competing on Analytics, Analytics at Work) thought it was just another example of technology hype. But his research in the years that followed changed his mind. Now, in clear, conversational language, Davenport explains what big data means — and why...
Springer, 2019. — 384 p. — ISBN: 3030105423. This handbook provides an overarching view of cyber security and digital forensic challenges related to big data and IoT environment, prior to reviewing existing data mining solutions and their potential application in big data context, and existing authentication and access control for IoT devices. An IoT access control scheme and...
Chapman and Hall/CRC Press, 2016. — 332 p. — ISBN: 978-1498723619. Big Data of Complex Networks presents and explains the methods from the study of big data that can be used in analysing massive structural data sets, including both very large networks and sets of graphs. As well as applying statistical analysis techniques like sampling and bootstrapping in an interdisciplinary...
IGI Global, 2018. — 348 p. — ISBN: 978-1522562078. To continue providing people with safe, comfortable, and affordable places to live, cities must incorporate techniques and technologies to bring them into the future. The integration of big data and interconnected technology, along with the increasing population, will lead to the necessary creation of smart cities. Big Data...
Wiley, 2016. — 212 p. — ISBN: 978-1848218062 Big Data is a new field, with many technological challenges to be understood in order to use it to its full potential. These challenges arise at all stages of working with Big Data, beginning with data generation and acquisition. The storage and management phase presents two critical challenges: infrastructure, for storage and...
De Gruyter, 2025. — 348 p. — (Intelligent Computing, 2). — ISBN: 978-3-11-134455-3. Through the application of cutting-edge techniques like Big Data, Data Mining, and Data Science, it is possible to extract insights from massive datasets. These methodologies are crucial in enabling informed decision-making and driving transformative advancements across many fields, industries,...
Morgan & Claypool, 2015. — 199 p. in color. — (Synthesis Lectures on Data Management). — ISBN: 1627052232, 9781627052238 The big data era is upon us: data are being generated, analyzed, and used at an unprecedented scale, and data-driven decision making is sweeping through all aspects of society. Since the value of data explodes when it can be linked and fused with other data,...
Indianapolis: Wiley, 2015. - 435 p. (author and editor not specified, book published on behalf of EMC Educational Service) Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that...
Springer, 2018. — 210 p. — (Studies in Big Data 42). — ISBN: 9783319930602, 3319930605. This book highlights some of the most fascinating current uses, thought-provoking changes, and biggest challenges that Big Data means for our society. The explosive growth of data and advances in Big Data analytics have created a new frontier for innovation, competition, productivity, and...
Springer, 2016. — 487 p. — ISBN: 978-3319302638. The main objective of this book is to provide the necessary background to work with big data by introducing some novel optimization algorithms and codes capable of working in the big data setting as well as introducing some applications in big data optimization for both academics and practitioners interested, and to benefit...
Springer, 2020. — 271 p. This book addresses the key security challenges in the big data centric computing and network systems, and discusses how to tackle them using a mix of conventional and state-of-the-art techniques. The incentive for joining big data and advanced analytics is no longer in doubt for businesses and ordinary users alike. Technology giants like Google,...
River Publishers, 2018. — 250 p. — ISBN: 9788770220163. To be effective, data-intensive systems require extensive ongoing customization to reflect changing user requirements, organizational policies, and the structure and interpretation of the data they hold. Manual customization is expensive, time-consuming, and error-prone. In large complex systems, the value of the data can...
World Scientific Publishing, 2020. — 458 p. — ISBN: 9789811204739. This unique volume is an introduction for computer scientists, including a formal study of theoretical algorithms for Big Data applications, which allows them to work on such algorithms in the future. It also serves as a useful reference guide for the general computer science population, providing a...
River Publishers, 2021. — 288 p. — ISBN: 978-87-7022-415-4. The book is centrally focused on human-computer Interaction and how sensors within small and wide groups of Nano-robots employ Deep Learning for applications in industry. It covers a wide array of topics that are useful for researchers and students to gain knowledge about AI and sensors in nanobots. Furthermore, the...
Springer, 2011. — 364 p. — ISBN: 978-3-642-20044-1. Since the 1990s Grid Computing has emerged as a paradigm for accessing and managing distributed, heterogeneous and geographically spread resources, promising that we will be able to access computer power as easily as we can access the electric power grid. Later on, Cloud Computing brought the promise of providing easy and...
Chapman and Hall/CRC, Taylor & Francis Group, 2017. — 377 p. — (Statistics in the social and behavioral sciences series). — ISBN: 1498751407, 9781498751407 Foster I., Ghani R., Jarmin R.S., Kreuter F., Lane J. Both Traditional Students and Working Professionals Acquire the Skills to Analyze Social Problems. Big Data and Social Science: A Practical Guide to Methods and Tools...
2nd Edition. — CRC Press, 2021. — 413 p. — ISBN: 9780367568597. Big Data and Social Science: Data Science Methods and Tools for Research and Practice, Second Edition shows how to apply data science to real-world problems, covering all stages of a data-intensive social science or policy project. Prominent leaders in the social sciences, statistics, and computer science as well...
Springer International Publishing, Switzerland, 2016. — 405 p. — ISBN: 3319445480. The objective of this book is to introduce the basic concepts of big data computing and then to describe the total solution of big data problems using HPCC, an open-source computing platform. The book comprises 15 chapters broken into three parts. The first part, Big Data Technologies, includes...
MDPI AG, 2023. — 338 p. — (MDPI Electronics) — eBook ISBN: 978-3-0365-8767-7. In this thought-provoking guide, readers will embark on a journey through the fascinating realm of big data analytics, discovering how vast volumes of data can be collected, processed, and analyzed with remarkable precision. Through the lens of artificial intelligence, the reprint delves into the...
Boston: de Gruyter, 2020. — 250 p. Big Data Analytics Methods unveils secrets to advanced analytics techniques ranging from machine learning, random forest classifiers, predictive modeling, cluster analysis, natural language processing (NLP), Kalman filtering and ensembles of models for optimal accuracy of analysis and prediction. More than 100 analytics techniques and methods...
Walter de Gruyter GmbH, 2020. — 174 p. — ISBN: 9783110662917. Data analytics is core to business and decision making. The rapid increase in data volume, velocity and variety offers both opportunities and challenges. While open-source solutions to store big data, like Hadoop, offer platforms for exploring value and insight from big data, they were not originally developed with...
Morgan Kaufmann, 2016. — 105 p. — ISBN: 0128046317, 9780128046319 The WWW era made billions of people dramatically dependent on the progress of data technologies, out of which Internet search and Big Data are arguably the most notable. Structured Search paradigm connects them via a fundamental concept of key-objects evolving out of keywords as the units of search. The...
Wiley, 2015. — 227 p. The book makes the case that big data is for real, and more than just big hype. The book uses real-life examples — from Nate Silver to Copernicus, and Apple to Blackberry — to demonstrate how the winners of the future will use big data to seek the truth. Written by a marketing journalist and the CEO of a multi-million-dollar B2B marketing platform that...
O’Reilly Media, 2019. — 200 p. Enterprises are experimenting with using Hadoop to build Big Data Lakes, but many projects are stalling or failing because the approaches that worked at Internet companies have to be adopted for the enterprise. This practical handbook guides managers and IT professionals from the initial research and decision-making process through planning,...
NSTA Press, 2017. — 225 p. — ISBN13: 978-1681402765. Now your students can transform their mobile phones and tablets into tools for learning about everything from weather to water quality. Big Data, Small Devices shows you how. This book is designed for Earth and environmental science teachers who want to help students tap into, organize, and deploy large data sets via their...
Elsevier, 2015. — 372 p. — (Handbook of Statistics. Vol. 33) — ISBN: 0444634924, 9780444634924 While the term Big Data is open to varying interpretation, it is quite clear that the Volume, Velocity, and Variety (3Vs) of data have impacted every aspect of computational science and its applications. The volume of data is increasing at a phenomenal rate and a majority of it is...
Cambridge University Press, 2020. — 278 p. The massive volume of data generated in modern applications can overwhelm our ability to conveniently transmit, store, and index it. For many scenarios, building a compact summary of a dataset that is vastly smaller enables flexibility and efficiency in a range of queries over the data, in exchange for some approximation. This...
Packt, 2019. — 181 p. This book will serve as a quick introduction to the concept of data mining and putting it to practical use with the help of popular Python packages and libraries. You will get a hands-on demonstration of working with different real-world datasets and extracting useful insights from them using popular Python libraries such as NumPy, pandas, scikit-learn,...
World Scientific, 2024. — 288 p. With the proliferation of information, big data management and analysis have become an indispensable part of any system to handle such amounts of data. The amount of data generated by the multitude of interconnected devices increases exponentially, making the storage and processing of these data a real challenge. Big data management and...
Govind P. Gupta, Rakesh Tripathi, Brij B. Gupta, Kwok Tai Chui. — CRC Press, 2023. — 233 p. — ISBN: 978-1032206455. The integration of fog computing with the resource-limited Internet of Things (IoT) network formulates the concept of the fog-enabled IoT system. Due to a large number of IoT devices, the IoT is a main source of Big Data. A large volume of sensing data is...
Technical University of Munich, 2016. — 153 p. Efficient learning algorithms gain importance in the time of Big Data and decentralized data processing (e.g. Internet of Things). The thesis evaluates one class of such efficient algorithms: the incremental linear model trees. The algorithms are systematically compared on stationary Big Data and are improved in their usability by...
New York: Springer, 2017. — 532 p. This essential guide to a broad spectrum of big data analytics in cross-disciplinary applications focuses on the statistical prospects offered by recent developments in this field. To do so, it covers statistical methods for high-dimensional problems, algorithmic designs, computation tools, analysis flows and the software-hardware co-designs...
Apress, 2015. — 256 p. This is a book for enterprise architects, database administrators, and developers who need to understand the latest developments in database technologies. It is the book to help you choose the correct database technology at a time when concepts such as Big Data, NoSQL, and NewSQL are making what used to be an easy choice into a complex decision with...
Springer, 2015. — 499 p. — (Studies in Big Data, 9). — ISBN: 9783319110554 Hassanien A.E., Azar A.T., Snasel V., Kacprzyk J., Abawajy J.H. (Eds.) This volume provides challenges and Opportunities with updated, in-depth material on the application of Big data to complex systems in order to find solutions for the challenges and problems facing big data sets applications. Much...
CRC Press, 2019. — 356 p. Big data and the Internet of Things (IoT) play a vital role in prediction systems used in biological and medical applications, particularly for resolving issues related to disease biology at different scales. Modeling and integrating medical big data with the IoT helps in building effective prediction systems for automatic recommendations of diagnosis...
Cham: Springer, 2015. — 72 p. — ISBN: 978-3-319-09426-7. Movies will never be the same after you learn how to analyze movie data, including key data mining, text mining and social network analytics concepts. These techniques may then be used in endless other contexts. In the movie application, this topic opens a lively discussion on the current developments in big data from a...
Springer, 2015. — 679 p. 5th International Conference, IScIDE 2015, Suzhou, China, June 14-16, 2015, Revised Selected Papers, Part I. The two-volume set LNCS 9242 + 9243 constitutes the proceedings of the 5th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2015, held in Suzhou, China, in June 2015. The total of 126 papers presented in the...
Springer, 2015. — 644 p. 5th International Conference, IScIDE 2015, Suzhou, China, June 14-16, 2015, Revised Selected Papers, Part II. The two-volume set LNCS 9242 + 9243 constitutes the proceedings of the 5th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2015, held in Suzhou, China, in June 2015. The total of 126 papers presented in the...
CRC Press, 2016. - 208 p. - ISBN: 1138196185 Disk-Based Algorithms for Big Data is a product of recent advances in the areas of big data, data analytics, and the underlying file systems and data management algorithms used to support the storage and analysis of massive data collections. The book discusses hard disks and their impact on data management, since Hard Disk Drives...
Launch Press, LLC, 2014. — 70 slides About this Today's data volume The drivers of big data Defining big data Technology challenges of big data Cases Process Lanscape Understanding hadoop Beyond hadoop NoSQL API's
Springer, 2017. — 223 p. — ISBN: 9783319524900, 9783319524917. This book demonstrates the use of a wide range of strategic engineering concepts, theories and applied case studies to improve the safety, security and sustainability of complex and large-scale engineering and computer systems. It first details the concepts of system design, life cycle, impact assessment and...
Lanham: Lexington Books, 2020. — 219 p. Algorithmic Culture: How Big Data and Artificial Intelligence are Transforming Everyday Life explores the complex ways in which algorithms and big data, or algorithmic culture, are simultaneously reshaping everyday culture while perpetuating inequality and intersectional discrimination. Contributors situate issues of humanity, identity,...
Academic Press, 2017. — 309 p. — ISBN: 978-0-12-809393-1. This book explores state-of-the-art methods for using advanced ICT technologies to perform intelligent analysis on sensor collected data. The book shows how to develop systems that automatically detect natural and human-made events, how to examine people’s behaviors, and how to unobtrusively provide better services. It...
CRC Press, 2016. — 449 p. — ISBN: 78-1-4987-3487-5. Although there are already some books published on Big Data, most of them only cover basic concepts and society impacts and ignore the internal implementation details — making them unsuitable to R&D people. To fill such a need, Big data: Storage, Sharing, and Security examines Big Data management from an R&D perspective. It...
Wiley – AGU, 2023. — 355 p. — (Special Publications 77). — ISBN: 9781119467571. Applying tools for data analysis to the rapidly increasing volume of data about the Earth. An ever-increasing volume of Earth data is being gathered. These data are “big” not only in size but also in their complexity, different formats, and varied scientific disciplines. As such, big data are...
Springer, 2016. — 214 p. — ISBN: 978-3-319-30144-0. This book presents different use cases in big data applications and related practical experiences. Many businesses today are increasingly interested in utilizing big data technologies for supporting their business intelligence so that it is becoming more and more important to understand the various practical issues from...
Wiley, 2015. — 288 p. — ISBN: 1118896629, 9781118896624. A comprehensive guide to learning technologies that unlock the value in big data. Cognitive Computing provides detailed guidance toward building a new class of systems that learn from experience and derive insights to unlock the value of big data. This book helps technologists understand cognitive computing's underlying...
CRC Press, 2024. — 216 p. — ISBN: 9781032579184. With the advent of such advanced technologies as cloud computing, the Internet of Things, the Medical Internet of Things, the Industry Internet of Things, and sensor networks as well as the exponential growth in the usage of Internet-based and social media platforms, there are enormous oceans of data. These huge volumes of data...
Wiley, 2017. — 432 p. — ISBN: 978-1119247029. The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies. The main goal of this book is to spur the development of effective big-data computing operations on smart clouds that are fully supported by IoT sensing, machine learning and analytics systems. To that end,...
IGI Global, 2016. — 2478 p. — ISBN: 978-1466698406. The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data...
Springer, 2015. — 602 p. — ISBN: 3662467410 Intan R., Chi C.-H., Palit H.N., Santoso L.W. This book constitutes the refereed proceedings of the 4th International Conference on Soft Computing, Intelligent Systems, and Information Technology, ICSIIT 2015, held in Bali, Indonesia, in March 2015. The 34 revised full papers presented together with 19 short papers, one keynote and 2...
CRC Press, 2015. — 200 p. — ISBN: 149871093X, 9781498710930 This book focuses on the basic concepts and the related technologies of data mining for social medial. Topics include: big data and social data, data mining for making a hypothesis, multivariate analysis for verifying the hypothesis, web mining and media mining, natural language processing, social big data...
Springer, 2016. — 333 p. — Studies in Big Data 16 — ISBN: 9783319269870 This edited volume is devoted to Big Data Analysis from a Machine Learning standpoint as presented by some of the most eminent researchers in this area. It demonstrates that Big Data Analysis opens up new research problems which were either never considered before, or were only considered within a limited...
Routledge, Taylor & Francis, USA, 2017. — 382 p. — ISBN: 1138791938. While laboratory research is the backbone of collecting experimental data in cognitive science, a rapidly increasing amount of research is now capitalizing on large-scale and real-world digital data. Each piece of data is a trace of human behavior and offers us a potential clue to understanding basic cognitive...
Wiley, 2014. — 408 p. — ISBN: 9781118729083 Tap the power of Big Data with Microsoft technologies Big Data is here, and Microsoft's new Big Data platform is a valuable tool to help your company get the very most out of it. This timely book shows you how to use HDInsight along with HortonWorks Data Platform for Windows to store, manage, analyze, and share Big Data throughout the...
CRC Press, 2016. — 529 p. — ISBN: 1498715338. This book unravels the mystery of Big Data computing and its power to transform business operations. The approach it uses will be helpful to any professional who must present a case for realizing Big Data computing solutions or to those who could be involved in a Big Data computing project. It provides a framework that enables...
Auerbach Publications; CRC Press, 2018. — 409 p. — ISBN: 1498751288, 9781498751285, 9781351648493, 1351648497. "Vivek Kale's Creating Smart Enterprises goes smack-dab at the heart of harnessing technology for competing in today's chaotic digital era. Actually, for him, it's SMACT-dab: SMACT (Social media, Mobile, Analytics and big data, Cloud computing, and internet of Things)...
New York: McGraw-Hill, 2019. — 756 p. Big Data Analytics(BDA) is a rapidly evolving field that finds applications in many areas such as healthcare, medicine, advertising, marketing, and sales. This book dwells on all the aspects of Big Data Analytics and covers the subject in its entirety. It comprises several illustrations, sample codes, case studies, and real-life analytics...
2nd Edition. — CRC Press, 2025. — 410 p. — ISBN: 978-1-032-52516-7. Over the past decade, since the publication of the first edition, there have been new advances in solving complex geoinformatics problems. Advancements in computing power, computing platforms, mathematical models, statistical models, geospatial algorithms, and the availability of data in various domains, among...
Bentham Books, 2023. — 392 p. — (IoT and Big Data Analytics (Volume 3)). — ISBN: 978-981-5079-95-1. Big Data is playing a vital role in HCI projects across a range of industries: healthcare, cybersecurity, forensics, education, business organizations, and scientific research. Big data analytics requires advanced tools and techniques to store, process, and analyze a huge volume...
CRC Press, 2024. — 247 p. This book aims to provide readers with a comprehensive guide to the fundamentals of Big Data analytics and its applications in various industries and smart societies. What sets this book apart is its in-depth coverage of different aspects of Big Data analytics, including Machine Learning algorithms, spatial data analytics, and IoT-based smart systems...
The MIT Press, 2018. — 490 p. — ISBN: 978-0262038393. The first book to present the common mathematical foundations of big data analysis across a range of applications and technologies. Today, the volume, velocity, and variety of data are increasing rapidly across a range of fields, including Internet search, healthcare, finance, social media, wireless devices, and...
Technical University of Munich, 2016. — 180 p. High-dimensional data analysis becomes ubiquitous. Here, nonparametric models, i.e. sparse grid models, suffer exponential growth of complexity in high dimensions. To delay the onset of this curse, this thesis develops the learning algorithms that simultaneously optimise the model parameters and the structure to befit the problem....
The Institution of Engineering and Technology, 2019. — 367 p. — (IET Professional Applications of Computing Series 35). — ISBN: 981-1-78561-975-5. First designed to generate personalized recommendations to users in the 90s, recommender systems apply knowledge discovery techniques to users' data to suggest information, products, and services that best match their preferences. In...
The Institution of Engineering and Technology, 2019. — 520 p. — (Computing and Networks). — ISBN10: 1785619772, 13 978-1785619779. First designed to generate personalized recommendations to users in the 90s, recommender systems apply knowledge discovery techniques to users' data to suggest information, products, and services that best match their preferences. In recent decades,...
IGI Global, 2022. — 2023 p. Society is now completely driven by data with many industries relying on data to conduct business or basic functions within the organization. With the efficiencies that big data bring to all institutions, data is continuously being collected and analyzed. However, data sets may be too complex for traditional data processing, and therefore, different...
SAGE Publications Ltd., 2014. — 285 p. Given the relatively early point in the present data revolution, it is not at all certain how the present transformations will unfold and settle, and what will be the broader consequences of changes taking place. What is clear is that there is an urgent need to try and make sense of what is happening. Thus, the aim of this book is to...
New York: Springer, 2016. — 231 p. This book presents new approaches that advance research in all aspects of agent-based models, technologies, simulations and implementations for data intensive applications. The nine chapters contain a review of recent cross-disciplinary approaches in cloud environments and multi-agent systems, and important formulations of data intensive...
Technical University of Munich, 2018. — 186 p. Predicting the risk of complex diseases is a field of growing relevance in medicine and shows high potential of refinement and improvement by integrating new data types and larger data sets. In this thesis, we investigate and overcome issues on several challenges in this field by applying and developing statistical methodology for...
Springer International Publishing, 2018. — 260 p. This book examines the methodological foundations of the Big Data-driven world, formulates its concept within the frameworks of modern control methods and theories, and approaches the peculiarities of Control Technologies as a specific sphere of the Big Data-driven world, distinguished in the modern Digital Economy. The book...
Academic Press, 2020. — 228 p. — ISBN: 978-0-12-815746-6. This book helps data managers and their organizations make the most of unstructured data with an existing data warehouse. It provides readers with what they need to know to make sense of how Big Data fits into the world of Data Warehousing. Readers will learn about infrastructure options and integration and come away...
Morgan Kaufmann , 2013. – 370 p. – ISBN: 0124058914, 9780124058910 The Morgan Kaufmann Series on Business Intelligence Data Warehousing in the Age of the Big Data will help you and your organization make the most of unstructured data with your existing Data Warehouse. As Big Data continues to revolutionize how we use data, it doesn't have to create more confusion. Expert...
Springer, 2020. — 181 p. Introduces the concept of the “Librarian of the Web” and provides an introduction to its concepts and algorithms Presents novel, librarian-inspired approaches, methods, and technical solutions to decentral search for text documents in the WWW using peer-to-peer (P2P) technology Gives an overview on the future of decentralized web search and summarizes...
CRC Press, 2014. — 305 p. — EISBN: 9781466568716 Big data and analytics promise to change virtually every industry and business function over the next decade. Any organization that gets started early with big data can gain a significant competitive edge. Just as early analytical competitors in the small data era (including Capital One bank, Progressive Insurance, and Marriott...
Wiley-Scrivener, 2023. — 500 p. — ISBN: 978-1-119-86504-9. Discusses both theoretical and practical aspects of how to harness advanced technologies to develop practical applications such as drone-based surveillance, smart transportation, healthcare, farming solutions, and robotics used in automation. The concepts of machine intelligence, big data analytics, and the Internet of...
BPB Publications, 2024. — 467 p. Unveiling insights, unleashing potential: Navigating the depths of Big Data and analytics for a data-driven tomorrow. Key Features: Learn about Big Data and how it helps businesses innovate, grow, and make decisions efficiently. Learn about data collection, storage, processing, and analysis, along with tools and methods. Discover real-life...
IGI Global, 2016. — 251 p. — ISBN: 978-1522508861. Operations management is a tool by which companies can effectively meet customers needs using the least amount of resources necessary. With the emergence of sensors and smart metering, big data is becoming an intrinsic part of modern operations management. Applied Big Data Analytics in Operations Management enumerates the...
Mercury Learning and Information, 2021. — 207 p. — ISBN: 978-1-68392-645-0. This book is the basic guide for developers,architects, engineers, and anyone who wants to start leveraging the open-sourcesoftware Hadoop and Hive to build distributed, scalable concurrent big data applications. Hive will be used for reading, writing, and managing the large, data set files. The book is...
The Institution of Engineering and Technology, 2022. — 427 p. As enterprise access networks evolve with a larger number of mobile users, a wide range of devices, and new cloud-based applications, managing user performance on an end-to-end basis has become rather challenging. Recent advances in big data network analytics combined with AI and cloud computing are being leveraged...
Emerald Publishing Limited, 2021. — 204 p. — ISBN: 978-0745343495. Artificial Intelligence is a seemingly neutral technology, but it is increasingly used to manage workforces and make decisions to hire and fire employees. Its proliferation in the workplace gives the impression of a fairer, more efficient system of management. A machine can't discriminate, after all. Augmented...
Springer, 2017. — 291 p. This edited volume lays the groundwork for Social Data Science, addressing epistemological issues, methods, technologies, software and applications of data science in the social sciences. It presents data science techniques for the collection, analysis and use of both online and offline new (big) data in social research and related applications. Among...
Springer, 2019. — 297 p. — (Lecture Notes in Information Systems and Organisation 27). — ISBN: 9783319904993, 9783319905006. Alessandra Lazazzara, Raoul C.D. Nacamulli, Cecilia Rossignoli, Stefano Za (Eds.) This book presents a collection of research papers exploring the human side of digital innovation management, with a specific focus on what people say and share on social...
Wiley, 2015. — 282 p. — ISBN: 9781119015581 Fundamentals of Big Data Network Analysis for Research and Industry Hyunjoung Lee, Institute of Green Technology, Yonsei University, Republic of Korea Il Sohn, Material Science and Engineering, Yonsei University, Republic of Korea Presents the methodology of big data analysis using examples from research and industry There are large...
Wiley, 2016. — 205 p. — ISBN10: 1119015588, 13 978-1119015581. True PDF Fundamentals of Big Data Network Analysis for Research and Industry Hyunjoung Lee, Institute of Green Technology, Yonsei University, Republic of Korea Il Sohn, Material Science and Engineering, Yonsei University, Republic of Korea Presents the methodology of big data analysis using examples from research...
Packt, 2018. — 306 p. — ISBN: 978-1788620901. Solve all big data problems by learning how to create efficient data models Key Features Create effective models that get the most out of big data Apply your knowledge to datasets from Twitter and weather data to learn big data Tackle different data modeling challenges with expert techniques presented in this book Book...
Springer International Publishing, 2019. — 196 p. — ISBN: 978-3-319-96802-5;978-3-319-96803-2. This book presents the outcomes of the 3rd IEEE/ACIS International Conference on Big Data, Cloud Computing, Data Science & Engineering (BCD 2018), which was held on July 10–12, 2018 in Kanazawa. The aim of the conference was to bring together researchers and scientists, businesspeople...
Springer, 2020. — 188 p. — ISBN: 9789811587306. This book covers topics like big data analyses, services, and smart data. It contains (i) invited papers, (ii) selected papers from the Sixth International Conference on Big Data Applications and Services (BigDAS 2018), as well as (iii) extended papers from the Sixth IEEE International Conference on Big Data and Smart Computing...
NY: Chapman and Hall/CRC Press, 2015. — 478 p. — eISBN 9781482240566. Data are generated at an exponential rate all over the world. Through advanced algorithms and analytics techniques, organizations can harness this data, discover hidden patterns, and use the findings to make meaningful decisions. Containing contributions from leading experts in their respective fields, this...
CRC Press, 2017. — 593 p. — ISBN13: 9781498768078. Big Data Management and Processing explores a range of big data related issues and their impact on the design of new computing systems. The twenty-one chapters were carefully selected and feature contributions from several outstanding researchers. The book endeavors to strike a balance between theoretical and practical coverage...
Mdpi AG, 2023. — 654 p. — eBook ISBN: 978-3-0365-8487-4. With the development of computer technology and communication technology, various industries have collected a large amount of data in different forms, so-called big data. How to obtain valuable knowledge from these data is a very challenging task. Machine learning is such a direct and effective method for big data...
Morgan Kaufmann, 2015. — 107 p. — ISBN: 9780128025727 With the rapid growth of Cloud computing, the size of Cloud data is expanding at a dramatic speed. A huge amount of data is generated and processed by Cloud applications, putting a higher demand on cloud storage. While data reliability should already be a requirement, data in the Cloud needs to be stored in a highly...
Boca Raton: CRC Press, 2013. - 304 p. With the growing barrage of "big data," it becomes vitally important for organizations to make sense of this data and information in a timely and effective way. That’s where analytics come into play. Research shows that organizations that use business analytics to guide their decision making are more productive and experience higher returns...
CRC Press, 2015. — 344 p. The book focuses on this intuition-based decision making. The book does not discount data-based decision making, especially for decisions that are important and complex. Instead, it emphasizes the importance of applying intuition, gut feel, spirituality, experiential learning, and insight as key factors in the executive decision-making process....
John Wiley and Sons, 2018. — 186 p. — ISBN: 978-1-119-51235-6. Analytics is the new force driving business. Tools have been created to measure program impacts and ROI, visualize data and business processes, and uncover the relationship between key performance indicators, many using the unprecedented amount of data now flowing into organizations. Featuring updated examples and...
Elsevier, 2016. — 196 p. — ISBN: 9780128037324 This book provides users with a comprehensive discussion on how to develop and implement advanced statistical and computational methodologies for use in five high-impact areas where big data is collected, including computer vision, geosciences, commerce, healthcare and transportation.
Morgan Kaufmann, 2013. — 130 p. — ISBN: 0124173195, 9780124173194 Big Data Analytics will assist managers in providing an overview of the drivers for introducing big data technology into the organization and for understanding the types of business problems best suited to big data analytics solutions, understanding the value drivers and benefits, strategic planning, developing a...
Springer, 2020. - 272 p. - ISBN: 3030391043 This book offers a comprehensible overview of Big Data Preprocessing, which includes a formal description of each problem. It also focuses on the most relevant proposed solutions. This book illustrates actual implementations of algorithms that helps the reader deal with these problems. This book stresses the gap that exists between...
Packt, 2022. — 342 p. — ISBN: 1800564937, 9781800564930. Implement, run, operate, and test data processing pipelines using Apache Beam Key Features Understand how to improve usability and productivity when implementing Beam pipelines Learn how to use stateful processing to implement complex use cases using Apache Beam Implement, test, and run Apache Beam pipelines with the help...
New York: Routledge, 2021. — 245 p. Drawing on a range of methods from across science and technology studies, digital humanities and digital arts, this book presents a comprehensive view of the big data phenomenon. Big data architectures are increasingly transforming political questions into technical management by determining classificatory systems in the social, educational,...
Anil Maheshwari, 2015. — 256 p. This books fills the need for an easy and holistic book on essential Big Data technologies. Written in a lucid and simple language free from jargon and code, this book provides an intuition for Big Data from business as well as technological perspectives. This book is designed to provide the reader with the intuition behind this evolving area,...
Addison–Wesley, 2013 2014. — 245 p. — ISBN: 0321898656, 9780321898654 Michael Manoochehri, a former Google engineer and data hacker, writes for professionals who need practical solutions that can be implemented with limited resources and time. Drawing on his extensive experience, he helps you focus on building applications, rather than infrastructure, because that’s where you...
Auerbach Publications, 2014. — 340 p. — ISBN: 1482229234, 9781482229233 A series of business processes within healthcare including data architecture, software, analytics, and data visualization are required to make big data and health analytics possible. In this book some of the pioneers of big data and health analytics show how healthcare practitioners and organizations are...
Springer, 2017. — 267 p. — ISBN: 978-3-319-45497-9, 978-3-319-45498-6 This book focuses on the analytic principles of business practice and big data. Specifically, it provides an interface between the main disciplines of engineering/technology and the organizational and administrative aspects of management, serving as a complement to books in other disciplines such as...
London: Kogan Page, 2022. — 273 p. Introduction: Why every business is now a data business. The astonishing growth of data, artificial intelligence, and the Internet of Things. A brave new (data-driven) world. Are we nearing true artificial intelligence? The fourth industrial revolution – or Industry 4.0. Other world-changing technologies. Why every business must become a data...
Wiley, 2015. — 256 p. — ISBN: 978-1-118-96583-2. Convert the promise of big data into real world results There is so much buzz around big data. We all need to know what it is and how it works – that much is obvious. But is a basic understanding of the theory enough to hold your own in strategy meetings? Probably. But what will set you apart from the rest is actually knowing how...
Independently Published, 2024. — 163 p. In an era defined by the unprecedented proliferation of information, "The Art of Data Science: Transformative Techniques for Analyzing Big Data" is a guiding beacon through data analytics' vast and complex landscape. As we navigate a world inundated with an ever-expanding torrent of information, the ability to derive meaningful insights...
Springer, 2018. — 328 p. — (Modeling and Optimization in Science and Technologies 11). — ISBN: 9783319691879, 9783319691886. This book focuses on innovative strategies to manage and build software systems for generating new knowledge from large archaeological data sets The book also reports on two case studies carried out in real-world scenarios within the Cultural Heritage...
Manning, 2015. — 330 p. — ISBN: 9781617290343 Big Data teaches you to build big data systems using an architecture that takes advantage of clustered hardware along with new tools designed specifically to capture and analyze web-scale data. It describes a scalable, easy-to-understand approach to big data systems that can be built and run by a small team. Following a realistic...
Cham: Springer International Publishing, 2017. — 141 p. — ISBN: 978-3-319-59186-5. The book proposes a systematic approach to big data collection, documentation and development of analytic procedures that foster collaboration on a large scale. This approach, designated as data factoring emphasizes the need to think of each individual dataset developed by an individual project...
ASQ Quality Press, 2021-07-29. — 134 p. — ISBN-13: 978-1-951058-15-9. More organizations and their leaders are looking to Big Data to transform processes and elevate the quality of products and services. Yet, gathering and storing large amounts of data isn't the quick fix often sought after. Without analysts-the human component-to interpret that data, the cost of incorrect or...
Springer Vieweg, 2019. — 229 p. — ISBN: 978-3658245481, 3658245484. This book offers a comprehensive introduction to relational (SQL) and non-relational (NoSQL) databases. The authors thoroughly review the current state of database tools and techniques, and examine coming innovations. The book opens with a broad look at data management, including an overview of information...
Routledge, 2019. — 91 p. — ISBN: 978-0-367-17381-4. Big Data for Qualitative Research covers everything small data researchers need to know about big data, from the potentials of big data analytics to its methodological and ethical challenges. The data that we generate in everyday life is now digitally mediated, stored, and analyzed by web sites, companies, institutions, and...
Wiley, 2013. — 187 p. — ISBN: 111814760X, 9781118147603. Unique prospective on the big data analytics phenomenon for both business and IT professionals. The availability of Big Data, low-cost commodity hardware and new information management and analytics software has produced a unique moment in the history of business. The convergence of these trends means that we have the...
Apple Academic Press, 2022. — 389 p. — ISBN: 978-1-77463-928-3. Data has become a valuable asset like never before. The challenge today is not a shortage of data but the need for techniques and methods capable enough to be able to glean valuable insights from the fast-flowing mass of big data. This new volume helps to meet the challenge of managing and using big data by...
CRC Press, 2021. — 341 p. — ISBN: 978-1-032-01597-2. Data-intensive systems are software applications that process and generate Big Data. Data-intensive systems support the use of large amounts of data strategically and efficiently to provide intelligence. For example, examining industrial sensor data or business process data can enhance production, guide proactive improvements...
Singapore: Bentham Science Publishers, 2020. — 124 p. — ISBN: 978-981-14-9049-1. This book presents a selection of the latest and representative developments in predictive analytics using Big Data technologies. It focuses on some critical aspects of Big Data and Machine Learning (ML) and provides studies for readers. The chapters address a comprehensive range of advanced data...
Wiley, 2016. — 171 p. The world has become digital and technological advances have multiplied circuits with access to data, their processing and their diffusion. New technologies have now reached a certain maturity. Data are available to everyone, anywhere on the planet. The number of Internet users in 2014 was 2.9 billion or 41% of the world population. The need for knowledge...
Springer, 2015. — 212 p. — ISBN: 9783319106649 This book presents and discusses the main strategic and organizational challenges posed by Big Data and analytics in a manner relevant to both practitioners and scholars. The first part of the book analyzes strategic issues relating to the growing relevance of Big Data and analytics for competitive advantage, which is also...
Paradigm Publishers, 2014. — 284 p. — ISBN: 9781612056159 Cloud computing and big data are arguably the most significant forces in information technology today. In the wake of revelations about National Security Agency (NSA) activities, many of which occur "in the cloud", this book offers both enlightenment and a critical view. Vincent Mosco explores where the cloud originated,...
Cham: Springer International Publishing, 2019. — 187 p. — ISBN: 978-3-319-97864-2. This book highlights the state of the art and recent advances in Big Data clustering methods and their innovative applications in contemporary AI-driven systems. The book chapters discuss Deep Learning for Clustering, Blockchain data clustering, Cybersecurity applications such as insider threat...
Springer, 2019. - 404 p. - ISBN: 9783030168407 This book presents the original articles that have been accepted in the 2019 INNS Big Data and Deep Learning (INNS BDDL) international conference, a major event for researchers in the field of artificial neural networks, big data and related topics, organized by the International Neural Network Society and hosted by the University...
Singapore: World Scientific, 2017. — 860 p. Containing twenty six contributions by experts from all over the world, this book presents both research and review material describing the evolution and recent developments of various pattern recognition methodologies, ranging from statistical, linguistic, fuzzy-set-theoretic, neural, evolutionary computing and rough-set-theoretic to...
The MIT Press, 2022. — 274 p. An in-depth overview of an emerging field that brings together high-performance computing, big data processing, and deep learning. Over the last decade, the exponential explosion of data known as big data has changed the way we understand and harness the power of data. The emerging field of high-performance big data computing, which brings together...
Boca Raton, FL: CRC Press, Taylor & Francis Group, 2018. — 323 p. — ISBN: 978-1-315-11262-6. Social networking has increased drastically in recent years, resulting in an increased amount of data being created daily. Furthermore, diversity of issues and complexity of the social networks pose a challenge in social network mining. Traditional algorithm software cannot deal with...
USA: IGI Global, 2020. — 500 p. — (Advances in Data Mining and Database Management). — ISBN: 9781799801061. As organizations continue to develop, there is an increasing need for technological methods that can keep up with the rising amount of data and information that is being generated. Machine learning is a tool that has become powerful due to its ability to analyze large...
Springer International Publishing AG, 2017. — 303 p. — (Studies in Big Data 24) — ISBN: 3319534734 This book presents a comprehensive and up-to-date treatise of a range of methodological and algorithmic issues. It also discusses implementations and case studies, identifies the best design practices, and assesses data analytics business models and practices in industry, health...
Oakville, Canada: Arcler Pres, 2019. — 430 p. — ISBN: 1773615041. Big Data Analytics - Methods and Applications is a comprehensive book that examines various big data modeling and analytics approaches, infrastructure and security issues in analysis of big data, applications of big data in business, finance and management. Provides the readers with insights on methodology and...
Arcler Press, 2023. — 420 p. — ISBN: 978-1-77469-579-1. This book covers different topics from data analysis and information processing, including data analytics methods, big data methods, data mining methods, and information processing methods. Section 1 focuses on data analytics methods, describing data analytics in mental healthcare, a case study on data analytics and...
Wiley, 2021. — 563 p. — (Wiley Series in Probability and Statistics). — ISBN: 978-1119417385. Master advanced topics in the analysis of large, dynamically dependent datasets with this insightful resource Statistical Learning with Big Dependent Data delivers a comprehensive presentation of the statistical and machine learning methods useful for analyzing and forecasting large...
CRC Press, 2021. — 201 p. In recent years, the fast-paced development of social information and networks has led to the explosive growth of data. A variety of big data have emerged, encouraging researchers to make business decisions by analyzing this data. However, many challenges remain, especially concerning data security and privacy. Big data security and privacy threats...
Springer Singapore, 2019. — 587 p. — ISBN: 978-981-13-1881-8, 978-981-13-1882-5. This book is a compendium of the proceedings of the International Conference on Big Data and Cloud Computing. It includes recent advances in the areas of big data analytics, cloud computing, internet of nano things, cloud security, data analytics in the cloud, smart cities and grids, etc. This...
Cham: Springer International Publishing, 2018. — 271 p. — ISBN: 978-3-319-79036-7. This timely book offers rare insight into the field of cybersecurity in Russia -- a significant player with regard to cyber-attacks and cyber war. Big Data Technologies for Monitoring of Computer Security presents possible solutions to the relatively new scientific/technical problem of developing...
Springer, 2017. — 570 p. — ISBN: 978-3-319-41217-7. This volume provides a snapshot of the current and future trends in turbulence research across a range of disciplines. It provides an overview of the key challenges that face scientific and engineering communities in the context of huge databases of turbulence information currently being generated, yet poorly mined. These...
Springer, 2021. — 300 p. — ISBN: 978-3-030-38835-5. This book provides a review of advanced topics relating to the theory, research, analysis, and implementation in the context of big data platforms and their applications, with a focus on methods, techniques, and performance evaluation. The explosive growth in the volume, speed and variety of data being produced every day...
Springer, 2019. — 422 p. — ISBN: 978-981-15-0093-0. This book provides a comprehensive survey of techniques, technologies and applications of Big Data and its analysis. The Big Data phenomenon is increasingly impacting all sectors of business and industry, producing an emerging new information ecosystem. On the applications front, the book offers detailed descriptions of...
Notion Press, 2016. — 170 p. — ISBN: 1946390712. Big Data Analytics Made Easy is a must-read for everybody as it explains the power of Analytics in a simple and logical way along with an end to end code in R. It covers Machine Learning concepts and provides in-depth knowledge on unsupervised as well as supervised Learning, which is very important for decision-making. The...
N.-Y.: CRC Press, 2015. - 576 p. With this book, managers and decision makers are given the tools to make more informed decisions about big data purchasing initiatives. Big Data Analytics: A Practical Guide for Managers not only supplies descriptions of common tools, but also surveys the various products and vendors that supply the big data market. Comparing and contrasting the...
Springer, 2024. — 505 p. — ISBN: 978-3-031-51916-1. This textbook covers the concepts, theories, and implementations of text mining and Natural Language Processing (NLP). It covers both the theory and the practical implementation, and every concept is explained with simple and easy-to-understand examples. It consists of three parts. In Part 1 which consists of three chapters...
Springer, 2013 2014. — 632 p. 17 illus., 16 illus. in color — ISBN: 9781461445449 Cognitive Networked Sensing and Big Data defines high-dimensional data processing in the context of wireless distributed computing and cognitive sensing. This book presents the challenges that are unique to this area such as synchronization caused by the high mobility of the nodes. The authors...
Singapore: Springer Singapore, 2018. — 109 p. — ISBN: 978-981-10-7763-0. This book provides an in-depth understanding of big data challenges to digital forensic investigations, also known as big digital forensic data. It also develops the basis of using data mining in big forensic data analysis, including data reduction, knowledge management, intelligence, and data mining...
Singapore: Springer Singapore, 2018. — 97 p. — ISBN: 978-981-13-0263-3. This book provides an in-depth understanding of big data challenges to digital forensic investigations, also known as big digital forensic data. It also develops the basis of using data mining in big forensic data analysis, including data reduction, knowledge management, intelligence, and data mining...
Springer, 2015. — 207 p. — ISBN: 9783319105956 Rabl T., Raghunath N., Poess M., Bhandarkar M., Jacobsen H.-A., Baru C. (Eds.) This book constitutes the thoroughly refereed joint proceedings of the Third and Fourth Workshop on Big Data Benchmarking. The third WBDB was held in Xi'an, China, in July 2013 and the Fourth WBDB was held in San José, CA, USA, in October, 2013. The 15...
6th International Workshop, WBDB 2015 Toronto, ON, Canada, June 16-17, 2015 and 7th International Workshop, WBDB 2015 New Delhi, India, December 14-15, 2015 Revised Selected Papers. — Springer, 2016. — 132 p. — ISBN: 3319497472. This book constitutes the thoroughly refereed post-workshop proceedings of the 6th International Workshop on Big Data Benchmarking, WBDB 2015, held in...
Taylor & Francis Group LLC, CRC Press, 2019. — 203 p. — ISBN13: 978-0-367-18345-5. Big data: A Tutorial-Based Approach explores the tools and techniques used to bring about the marriage of structured and unstructured data. It focuses on Hadoop Distributed Storage and MapReduce Processing by implementing (i) Tools and Techniques of Hadoop Eco System, (ii) Hadoop Distributed File...
Springer, 2018. — 413 p. — ISBN: 978-9811071997. This book is a compendium of the proceedings of the International Conference on Big-Data and Cloud Computing. It includes recent advances in the areas of big data analytics, cloud computing, the Internet of nano things, cloud security, data analytics in the cloud, smart cities and grids, etc. Primarily focusing on the application...
CRC Press, 2017. — 387 p. — ISBN: 978-1-4987-5355-5. This book is a subfield of Operations Research, dealing with decision making problems. A decision-making problem is characterized by the need to choose one or a few among a number of alternatives. The field of MCDM assumes special importance in this era of Big Data and Business Analytics. In this volume, the focus will be on...
CRC Press, 2023. — 259 p. — ISBN: 9781032287430. Cloud computing, the Internet of Things (IoT), and Big Data are three significant technological trends affecting the world's largest corporations. This book discusses big data, cloud computing, and the IoT, with a focus on the benefits and implementation problems. In addition, it examines the many structures and applications...
IGI Global, 2021. — 333 p. Vehicular traffic congestion and accidents remain universal issues in today’s world. Due to the continued growth in the use of vehicles, optimizing traffic management operations is an immense challenge. To reduce the number of traffic accidents, improve the performance of transportation systems, enhance road safety, and protect the environment,...
CRC Press, 2011. — 542 p. — 2nd ed. — ISBN: 1439860912, 9781439860915 The second edition of a bestseller, Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data is still the only book, to date, to distinguish between statistical data mining and machine-learning data mining. The first edition, titled Statistical Modeling...
The Institution of Engineering and Technology, 2021. — 390 p. — ISBN: 978-1-83953-064-7. Big Data analytics is the complex process of examining big data to uncover information such as correlations, hidden patterns, trends and user and customer preferences, to allow organizations and businesses to make more informed decisions. These methods and technologies have become...
The Institution of Engineering and Technology, 2021. — 419 p. — ISBN: 978-1-83953-059-3. Big Data analytics is the complex process of examining big data to uncover information such as correlations, hidden patterns, trends and user and customer preferences, to allow organizations and businesses to make more informed decisions. These methods and technologies have become...
Saarland University, 2016. — 167 p. In recent years, the database community has witnessed the advent and breakthrough of many new system designs like the famous Hadoop MapReduce or main memory databases like MonetDB, Hekaton, SAP Hana, and HyPer to solve the problems of “Big Data”. The system architectures in this generation of emerging systems often radically differ from...
University of Westminster Press, 2018. — 156 p. This book highlights that the capacity for gathering, analysing, and utilising vast amounts of digital (user) data raises significant ethical issues. Annika Richterich provides a systematic contemporary overview of the field of critical data studies that reflects on practices of digital data collection and analysis. The book...
Singapore: Springer Singapore, 2018. — 381 p. — ISBN: 978-981-10-8476-8. This book presents the current trends, technologies, and challenges in Big Data in the diversified field of engineering and sciences. It covers the applications of Big Data ranging from conventional fields of mechanical engineering, civil engineering to electronics, electrical, and computer science to...
Springer International Publishing, 2016. — 231 p. — ISBN: 978-3-319-30315-4. This book presents valuable contributions devoted to practical applications of Machine Intelligence and Big Data in various branches of the industry. All the contributions are extended versions of presentations delivered at the Industrial Session the 6th International Conference on Pattern Recognition...
Academic Press/Elsevier, 2021. — 147 p. — ISBN: 978-0-12-823806-6. Big Data permeates all aspects of modern life, and while there is no shortage of potential benefits resulting from this, author Henrik Skaug Sætra argues that we must also understand the threats Big Data poses to liberty. The issues discussed in Big Data’s Threat to Liberty: Surveillance, Nudging, and the...
Springer, 2019. — XLVI + 1820 p. — ISBN: 978-3-319-77526-5. The Encyclopedia of Big Data Technologies provides researchers, educators, students and industry professionals with a comprehensive authority over the most relevant Big Data Technology concepts. With over 300 articles written by worldwide subject matter experts from both industry and academia, the encyclopedia covers...
Wiley, 2021. — 399 p. — ISBN: 978-1119740759. This book provides a thorough overview of all the aspects of data analytics in IoT systems including need for data analytics, computing platforms, big data analytical tools, data compression and storage, privacy and security etc. It includes discussions of ways to extract valuable insights from Big Data with the help of techniques...
Academic Press, 2018. — 345 p. — ISBN: 978-0-12-813314-9. This book covers timely topics, including the neural network (NN), particle swarm optimization (PSO), evolutionary algorithm (GA), fuzzy sets (FS) and rough sets (RS), etc. Furthermore, the book highlights recent research on representative techniques to elaborate how a data-centric system formed a powerful platform for...
CRC Press, 2024. — 397 p. — (Computational Intelligence Techniques). — ISBN: 978-1-032-63404-3. This book primarily aims to provide an in-depth understanding of recent advances in Big Data computing technologies, methodologies, and applications along with introductory details of Big Data computing models such as Apache Hadoop, MapReduce, Hive, Pig, Mahout in-memory storage...
CRC Press/Apple Academic Press, 2023. — 310 p. — ISBN: 978-1774910535. This new volume addresses the growing interest in and use of Big Data analytics in many industries and many research fields around the globe; it is a comprehensive resource on the core concepts of Big Data analytics and the tools, techniques, and methodologies. The book gives the why and the how of Big Data...
Auerbach Publications, 2018. — 246 p. — ISBN: 1498765858, 9781498765855. As digital technologies occupy a more central role in working and everyday human life, individual and social realities are increasingly constructed and communicated through digital objects, which are progressively replacing and representing physical objects. They are even shaping new forms of virtual...
Wiley, 2016. — 400 p. — ISBN: 1119181119, 9781119181118 Integrate big data into business to drive competitive advantage and sustainable success Big Data MBA brings insight and expertise to leveraging big data in business so you can harness the power of analytics and gain a true business advantage. Based on a practical framework with supporting methodology and hands-on...
Wiley, 2013. — 240 p. — ISBN: 978-1118739570. Social media analytics, web-tracking, and other technologies help companies acquire and handle massive amounts of data to better understand their customers, products, competition, and markets. Armed with the insights from big data, companies can improve customer experience and products, add value, and increase return on investment....
Wiley-ISTE, 2020. — 277 p. — (Intellectual Technologies Set, Volume 7) — ISBN 978-1-119-77699-4. From Trace to Web Data: An Ontology of the Digital Footprint The epistemology of the cultural sciences The footprint in evidential sciences The log or activity history The digital footprint as a web log The intentionality of digital footprints Data as theoretically-loaded footprints...
Peter Lang LTD International Academic Publishers, 2017. — 258 p. — ISBN: 978-3-631-71890-2. Big data are changing the way we work. This book conveys a theoretical understanding of big data and the related interactions on a socio-technological level as well as on the organizational level. Big data challenge the human resource department to take a new role. An organizations new...
World Scientific Publishing Co., 2016. — 276 p. — (Advances and Opportunities with Big Data and Analytics). — ISBN: 9814678414, 9789814678414. In a world with a seemingly infinite amount of content and scores of methods for consuming that content, marketing communication today is about appealing to individuals, person by person. Effectively appealing to customers requires...
IGI Global, 2018. — 300 p. — ISBN: 978-1522576099. In a resolutely practical and data-driven project universe, the digital age changed the way data is collected, stored, analyzed, visualized and protected, transforming business opportunities and strategies. It is important for todays organizations and entrepreneurs to implement a robust data strategy and industrialize a set of...
Wiley, 2018. — 220 p. — ISBN: 1786303264. The main purpose of this book is to investigate, explore and describe approaches and methods to facilitate data understanding through analytics solutions based on its principles, concepts and applications. But analyzing data is also about involving the use of software. For this, and in order to cover some aspect of data analytics, this...
CRC Press, 2021. — 326 p. — ISBN: 9781003129660. This volume explores the diverse applications of advanced tools and technologies of the emerging field of big data and their evidential value in business. It examines the role of analytics tools and methods of using big data in strengthening businesses to meet today’s information challenges and shows how businesses can adapt big...
ISTE Ltd; John Wiley & Sons, Inc., 2020. — 268 p. — ISBN: 978-1-78630-506-0. The different facets of the sharing economy offer numerous opportunities for businesses? particularly those that can be distinguished by their creative ideas and their ability to easily connect buyers and senders of goods and services via digital platforms. At the beginning of the growth of this...
Wiley, 2018. — 220 p. — ISBN: 9781119528050. This book treats the roots and the fruits of the movement that marks, affects and transforms any part of business and society. It is about the large amounts of data (the seeds of our time) that we are sowing and creating by simple contact with our connected objects or simple use of advanced IT tools and the value generation that we...
IGI Global, USA, 2018. — 382 p. — (Advances in Data Mining and Database Management). — ISBN: 1522528059. Data has increased due to the growing use of web applications and communication devices. It is necessary to develop new techniques of managing data in order to ensure adequate usage. Modern Technologies for Big Data Classification and Clustering is an essential reference...
IGI Global, 2018. — 1680 p. — ISBN: 9781522531432. The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data...
Shitharth Selvarajan, Gouse Baig Mohammad, Sadda Bharath Reddy, Praveen Kumar Balachandran. — CRC Press, 2025. — 215 p. — ISBN: 978-1032662992. Big Data and Blockchain Technology for Secure IoT Applications presents a comprehensive exploration of the intersection between two transformative technologies: big data and blockchain, and their integration into securing Internet of...
Technics Publications, 2019. — 114 p. — ISBN10: 1634624785, 13 978-1634624787. What is data governance? And what are the principles and techniques you can leverage as a business or IT professional to make data governance successful within your organization? Data Governance will answer these questions and provide you with insights and approaches to improve the "data fitness" of...
Springer International Publishing, 2019. — 391 p. This edited book will serve as a source of reference for technologies and applications for multimodality data analytics in big data environments. After an introduction, the editors organize the book into four main parts on sentiment, affect and emotion analytics for big multimodal data; unsupervised learning strategies for big...
Chapman and Hall/CRC, 2021. — 341 p. — (Chapman & Hall/CRC Big Data Series). — ISBN: 978-1498752701. Big Data Systems encompass massive challenges related to data diversity, storage mechanisms, and requirements of massive computational power. Further, capabilities of big data systems also vary with respect to type of problems. For instance, distributed memory systems are not...
CRC Press, 2022. — 187 p. — ISBN: 978-1-032-05306-6. This book focuses on big data in business intelligence, data management, machine learning, cloud computing, and smart cities. It also provides an interdisciplinary platform to present and discuss recent innovations, trends, and concerns in the fields of big data and analytics. Big Data Analysis for Green Computing: Concepts...
Springer, 2021. — 316 p. — ISBN: 978-981-16-4728-4. This book provides a comprehensive overview of the theory and praxis of Big Data Analytics and how these are used to extract cognition-related information from social media and literary texts. It presents analytics that transcends the borders of discipline-specific academic research and focuses on knowledge extraction,...
Springer, 2022. — 723 p. — ISBN: 978-981-16-3606-6. Today, big data affects countless aspects of our daily lives. This book provides a comprehensive and cutting-edge study on big data analytics, based on the research findings and applications developed by the author and his colleagues in related areas. It addresses the concepts of big data analytics and/or data science,...
Gulshan Shrivastava, Sheng-Lung Peng, Himani Bansal, Kavita Sharma, Meenakshi Sharma (eds.) — Apple Academic Press, Inc., 2021. — 366 p. — ISBN13: 978-1-77188-875-2. This comprehensive and timely book, New Age Analytics: Transforming the Internet through Machine Learning, IoT, and Trust Modeling, explores the importance of tools and techniques used in machine learning, big data...
Oxford University Press, 2014, -320 p. As we use the Web for social networking, shopping, and news, we leave a personal trail. These days, linger over a Web page selling lamps, and they will turn up at the advertising margins as you move around the Internet, reminding you, tempting you to make that purchase. Search engines such as Google can now look deep into the data on the...
CRC, 2018. — 413 p. — ISBN: 978-1-138-03239-2. The proposed book will discuss various aspects of big data Analytics. It will deliberate upon the tools, technology, applications, use cases and research directions in the field. Chapters would be contributed by researchers, scientist and practitioners from various reputed universities and organizations for the benefit of readers....
Cambridge Scholars Publishing, 2019. — 317 p. — ISBN: 1527533883, 9781527533882. This book provides a detailed description of the entire study process concerning gathering and analysing big data and making observations to develop a crime-prediction model that utilises its findings. It offers an in-depth discussion of several processes, including text mining, which extracts...
InTech, 2016. — 112 p. — ISBN: 9789535124894 As technology advances, high volumes of valuable data are generated day by day in modern organizations. The management of such huge volumes of data has become a priority in these organizations, requiring new techniques for data management and data analysis in Big Data environments. These environments encompass many different fields...
Nova Science Publishers, Inc., 2021. — 217 p. — ISBN: 978-1-53619-189-9. The application of Big Data analytics in all fields of research is a critical driver for the competitiveness of all countries in the modern world. Currently, governments and industries generate large amounts of data driven by record keeping, compliance, regulations, data privacy, and dynamic requirements,...
Springer International Publishing AG, 2018. — 567 p. — (Studies in Big Data 26) — ISBN: 3319538160. This handbook brings together a variety of approaches to the uses of big data in multiple fields, primarily science, medicine, and business. This single resource features contributions from researchers around the world from a variety of fields, where they share their findings and...
CRC Press, 2014. — 256 p. — ISBN: 9781482218299, 9781482218282 By implementing a comprehensive data analytics program, utility companies can meet the continually evolving challenges of modern grids that are operationally efficient, while reconciling the demands of greenhouse gas legislation and establishing a meaningful return on investment from smart grid deployments. Readable...
IGI Global, 2018. — 304 p. — ISBN: 978-1522570776. The world is witnessing the growth of a global movement facilitated by technology and social media. Fueled by information, this movement contains enormous potential to create more accountable, efficient, responsive, and effective governments and businesses, as well as spurring economic growth. Big Data Governance and...
Wiley, 2014. — 252 p. — (Wiley and SAS Business Series). — ISBN: 111872464X, 9781118724644 Innovation, culture, and big data analytics Ignoring the big data hype and diving right into the value proposition, Big Data, Big Innovation takes a long, hard look at making sure that businesses don't stray off course when chasing innovation. It focuses on real-world goals, strategies...
Auerbach Publications, 2017. — 378 p. — ASIN: B073FNVT3Y. There are a number of books on computational intelligence (CI), but they tend to cover a broad range of CI paradigms and algorithms rather than provide an in-depth exploration in learning and adaptive mechanisms. This book sets its focus on CI based architectures, modeling, case studies and applications in big data...
Springer, 2018. — 263 p. — ISBN: 978-3319639154. This book provides users with cutting edge methods and technologies in the area of big data and visual analytics, as well as an insight to the big data and data analytics research conducted by world-renowned researchers in this field. The authors present comprehensive educational resources on big data and visual analytics...
CRC Press, 2022. — 205 p. — ISBN: 9781032065533. Smart manufacturing analytics explores recent trends and affords a roadmap to adopt Big Data analytics for promoting various applications that range from fault detection processes to predictive maintenance activities. Big Data analytics has significantly changed and automated the data exchange processes with advanced...
Wiley, 2018. — 352 p. — ISBN: 1118824857. Harness the power of social media to predict customer behaviorand improve sales Social media is the biggest source of Big Data. Because of this,90% of Fortune 500 companies are investing in Big Data initiativesthat will help them predict consumer behavior to produce bettersales results. Written by Dr. Gabor Szabo, a Senior Data...
Amazon Digital Services LLC, 2016. — 61 p. — ASIN: B01DE10HAO Today we live in the world of internet of things. With increased digitization there has been an unprecedented increase in the quantity and variety of data generated worldwide. The enterprise does not know what to do with the data and how to extract information from this data. This data explosion has led to the term...
Morgan Kaufmann, 2015. — 238 p. The book walks you through the ins and outs of managing entity information so you can successfully achieve master data management (MDM) in the era of big data. This book explains big data’s impact on MDM and the critical role of entity information management system (EIMS) in successful MDM. Expert authors Dr. John R. Talburt and Dr. Yinle Zhou...
London: World Scientific Publishing Europe Ltd., 2024. - 295 p. - ISBN: 1800615043. In the age of the Internet of Things and social media platforms, huge amounts of digital data are generated by and collected from many sources, including sensors, mobile devices, wearable trackers, and security cameras. These data, commonly referred to as big data, are challenging current...
Springer, 2023. — 153 p. — (Evolutionary Economics and Social Complexity Science 25). — ISBN: 978-981-19-3966-2. This book presents a novel approach to analyzing large-sized rectangular-shaped numerical data (so-called big data). The essence of this approach is to grasp the "meaning" of the data instantly, without getting into the details of individual data. Unlike conventional...
Independently published, 2020. — 326 p. — ISBN B08Q3HBDM6. Big Data “Information is the oil of the 21st century, and analytics is the combustion engine” -Peter Sondergaard, Senior Vice President, Gartner Data has intrinsic value. But it’s of no use until that value is discovered. Equally important: How truthful is your data — and how much can you rely on it? Today, big data has...
Independently published, 2021. — 328 p.— ISBN B08R985GHW. BIG DATA ANALYTICS Big Data analytics is the process of gathering, managing, and analyzing large sets of data (Big Data) to uncover patterns and other useful information. These patterns are a minefield of information and analysing them provide several insights that can be used by organizations to make business decisions....
Elseiver, 2019. — 365 p. — ISBN: 9780128166505. Model Management and Analytics for Large Scale Systems covers the use of models and related artefacts (such as metamodels and model transformations) as central elements for tackling the complexity of building systems and managing data. With their increased use across diverse settings, the complexity, size, multiplicity and variety...
CRC Press, 2016. - 252 p. This book presents recent developments on the theoretical, algorithmic, and application aspects of Big Data in Complex and Social Networks. The book consists of four parts, covering a wide range of topics. The first part of the book focuses on data storage and data processing. It explores how the efficient storage of data can fundamentally support...
NY: Wiley, 2015. — 288 p. — ISBN: 978-1-118-94371-7. Big Data Revolution is a guide to improving performance, making better decisions, and transforming business through the effective use of Big Data. In this collaborative work by an IBM Vice President of Big Data Products and an Oxford Research Fellow, this book presents inside stories that demonstrate the power and potential...
The MIT Press, 2021. — 770 p. — ISBN: 9780262539883. Scholars from a range of disciplines interrogate terms relevant to critical studies of big data, from abuse and aggregate to visualization and vulnerability. This pathbreaking work offers an interdisciplinary perspective on big data, interrogating key terms. Scholars from a range of disciplines interrogate concepts relevant...
CRC Press, 2021. — 194 p. — ISBN: 978-1-032-06296-9. DataOps is a new way of delivering data and analytics that is proven to get results. It enables IT and users to collaborate in the delivery of solutions that help organisations to embrace a data-driven culture. The DataOps Revolution: Delivering the Data-Driven Enterprise is a narrative about real world issues involved in...
Springer, 2015. — 177 p. — ISBN: 9783319253114, EISBN: 9783319253138 Editors: Marcello Trovati, Richard Hill, Ashiq Anjum, Shao Ying Zhu, Lu Liu This book reviews the theoretical concepts, leading-edge techniques and practical tools involved in the latest multi-disciplinary approaches addressing the challenges of big data. Illuminating perspectives from both academia and...
CRC Press, 2025. — 271 p. — (Computational and Intelligent Systems). — ISBN: 9781032832760. The book provides a comprehensive discussion for utilizing computational models such as artificial neural networks, agent-based models, and decision field theory, for reliability engineering. It further presents optimization solutions for smart and secure healthcare services. The text...
Elsevier Inc., 2021. — 307 p. — ISBN: 978-0-12-822066-5. Process Safety and Big Data discuss the principles of process safety and advanced information technologies. It explains how these principles are applied to the process industry and provides examples of applications in process safety control and decision support systems. This book helps to address problems that researchers...
2nd ed.— Chapman and Hall/CRC, 2018. — 444 p. — ISBN: 9781138588318. Missing data pose challenges to real-life data analysis. Simple ad-hoc fixes, like deletion or mean imputation, only work under highly restrictive conditions, which are often not met in practice. Multiple imputation replaces each missing value by multiple plausible values. The variability between these...
Amsterdam: WRR/Amsterdam University Press, 2016. — 288 p. Though the exact nature and delineation of Big Data is still unclear, it seems likely that Big Data will have an enormous impact on our daily lives. Exploring the Bounderies of Big Data serves as preparatory work for The Netherlands Scientific Council for Government Policy's advice to the Dutch government, which has...
Houghton Mifflin Harcourt, 2013. 159 p. A revelatory exploration of the hottest trend in technology and the dramatic impact it will have on the economy, science, and society at large. Which paint color is most likely to tell you that a used car is in good shape? How can officials identify the most dangerous New York City manholes before they explode? And how did Google searches...
London: Ivy Press, 2020. - 162 p. - ISBN: 9783832550905. 30-Second Data Science is the quickest way to discover how data is a driving force not just in the big issues, such as climate change and healthcare, but in our daily lives. Data science is an entirely new discipline that encompasses a new era of information, from finding criminals to predicting epidemics . But there’s...
Wiley, 2019. — 360 p. — ISBN: 978-1-119-37697-2. A timely overview of cutting edge technologies for multimedia retrieval with a special emphasis on scalability The amount of multimedia data available every day is enormous and is growing at an exponential rate, creating a great need for new and more efficient approaches for large scale multimedia search. This book addresses that...
N.-Y.: Springer, 2015. - 85 p. The brief focuses on applying sublinear algorithms to manage critical big data challenges. The text offers an essential introduction to sublinear algorithms, explaining why they are vital to large scale data systems. It also demonstrates how to apply sublinear algorithms to three familiar big data applications: wireless sensor networks, big data...
Springer, 2022. — 307 p. — (Big Data Management). — ISBN: 978-981-16-7565-2. The development of information technology has made it possible to collect large amounts of spatial data on a daily basis. It is of enormous significance when it comes to discovering implicit, non-trivial, and potentially valuable information from this spatial data. Spatial co-location patterns reveal...
Columbia Business School Publishing, 2023. — 296 p. — ISBN: 9780231553704. If you want to win an election, improve the health of a city, or thrill your customers, you’re going to need precision systems – the highly engineered working arrangements of teams, processes, and technologies that put data and AI to work creating the change that leaders want, exactly how they want it....
Atlantis Press, 2016. — 240 p. — ISBN: 978-94-6239-182-6. This book demonstrates the inevitability of a continuously growing role of data in our society and it stresses that this role does not need to be threatening: to the contrary, collection and analysis of data can help us prevent traffic jams, suppress epidemics, or produce tailor made medicine. The authors sketch the...
Springer, 2019. — 105 p. Data-intensive systems are a technological building block supporting Big Data and Data Science applications. This book familiarizes readers with core concepts that they should be aware of before continuing with independent work and the more advanced technical reference literature that dominates the current landscape. The material in the book is...
CRC Press, 2023. — 310 p. — (Data Science Series). — ISBN: 978-1-032-35288-6. The burgeoning field of Data Science has provided a wealth of techniques for analyzing large and complex geospatial datasets, including descriptive, explanatory, and predictive analytics. However, applying these methods is just one part of the overall process of geographic Data Science. Other critical...
Springer International Publishing, 2016. — 426 p. — ISBN: 978-3-319-41279-5. This contributed volume explores the emerging intersection between big data analytics and genomics. Recent sequencing technologies have enabled high-throughput sequencing data generation for genomics resulting in several international projects which have led to massive genomic data accumulation at an...
American Psychological Association, 2020. — 480 p. — ISBN: 9781433831676. Technological advances have led to an abundance of widely available data on every aspect of life today. Psychologists today have more information than ever before on human cognition, emotion, attitudes, and behavior. Big Data in Psychological Research addresses the opportunities and challenges that these...
Springer, 2023. — 195 p. — (Studies in Big Data 125). — ISBN: 978-3-031-29936-0. The use of data to guide action is growing. Even the public uses data to guide everyday decisions! How do we develop data acumen across a broad range of fields and varying levels of expertise? How do we foster the development of effective data translators? This book explores these questions,...
Singapore: World Scientific Publishing Company, 2023. — 199 p. — ISBN: 9811250073. Everyone is already in the era of big data. It is gradually changing people's lifestyles. Therefore, it is necessary to explore the development path of big data and balance the relationship between technology, policy, and the market, so that it can better serve human society. This comprehensive...
Springer, 2015. — 524 p. Nowadays, we are witnessing an exponential growth in data sets, coined as Big Data era. The data being generated in large Internet-based IT systems is becoming a cornerstone for cyber-physical systems, administration, enterprises, businesses, academia and all human activity fields. Indeed, there is data being generated everywhere: in IT systems,...
Springer, 2018. - 598 p. - ISBN: 9811329214 This volume constitutes the proceedings of the 6th CCF Conference, Big Data 2018, held in Xi'an, China, in October 2018. The 32 revised full papers presented in this volume were carefully reviewed and selected from 880 submissions. The papers are organized in topical sections on natural language processing and text mining; big data...
Springer, 2020. — 324 p. — (Information Fusion and Data Science). — ISBN: 978-3-030-34034-6. This book presents the signal processing and data mining challenges encountered in drilling engineering, and describes the methods used to overcome them. In drilling engineering, many signal processing technologies are required to solve practical problems, such as downhole information...
Springer, 2016. — 439 p. — ISBN: 3319277618, 9783319277615 This book covers three major parts of Big Data: concepts, theories and applications. Written by world-renowned leaders in Big Data, this book explores the problems, possible solutions and directions for Big Data in research and practice. It also focuses on high level concepts such as definitions of Big Data from...
CRC Press, 2017. — 546 p. — ISBN13: 978-1498784863. This book presents state-of-the-art solutions to the theoretical and practical challenges stemming from the leverage of big data and its computational intelligence in supporting smart network operation, management, and optimization. In particular, the technical focus covers the comprehensive understanding of network big data,...
CRC Press, 2022. — 216 p. — ISBN: 978-1-003-27904-4. The idea behind this book is to simplify the journey of aspiring readers and researchers to understand the convergence of Big Data with the Cloud. This book presents the latest information on the adaptation and implementation of Big Data technologies in various cloud domains and Industry 4.0. Synergistic Interaction of Big...
Springer, 2020. — 298 p. — (Studies in Big Data). — ISBN: 3030142973, 9783030142988, 9783030142971. The book is devoted to the analysis of big data in order to extract from these data hidden patterns necessary for making decisions about the rational behavior of complex systems with the different nature that generate this data. To solve these problems, a group of new methods and...
IGI Global, 2024. — 310 p. — ISBN-13: 979-8-3693-4292-3. In an era defined by the deluge of data, navigating the complexities of decision-making under conditions of uncertainty has emerged as a formidable challenge for scholars and practitioners alike. The sheer volume and velocity of information inundating decision-makers often lead to paralysis or misguided choices,...
Elsevier Inc., 2023. — 222 p. — ISBN: 978-0-443-18428-4. Handbook of Mobility Data Mining, Volume One: Data Preprocessing and Visualization introduces the fundamental technologies of mobile extensive data mining (MDM), advanced AI methods, and upper-level applications, helping readers comprehensively understand MDM with a bottom-up approach. The book explains how to preprocess...
Elsevier Inc., 2023. — 212 p. — ISBN: 978-0-443-18424-6. Handbook of Mobility Data Mining, Volume Two: Mobility Analytics and Prediction introduces the fundamental technologies of mobile Big Data mining (MDM), advanced AI methods, and upper-level applications, helping readers comprehensively understand MDM with a bottom-up approach. The book explains how to preprocess mobile...
Elsevier Inc., 2023. — 244 p. — ISBN: 978-0-323-95892-9. Handbook of Mobility Data Mining: Volume Three: Mobility Data-Driven Applications introduces the fundamental technologies of mobile Big Data mining (MDM), advanced AI methods, and upper-level applications, helping readers comprehensively understand MDM with a bottom-up approach. The book explains how to preprocess mobile...
Elsevier, 2020. — 340 p. — ISBN: 978-0-12-818703-6. This book addresses how to manage the vast amount of information available for analysis. Climate change and its environmental, economic and social consequences are widely recognized as the biggest, most interconnected problem facing humanity. There is a huge amount of potential information currently available...and it is...
World Scientific Publishing, 2021. — 352 p. — ISBN: 9789811235993. This book is designed as a popular science book on big data analytics in intelligent transportation systems. It aims to provide an introduction to big-data transportation starting from an overview of the development of big data transportation in various countries. This is followed by a discussion on the...
Springer, 2023. — 252 p. — (Big Data Management). — ISBN: 978-981-99-4249-7. This systematically investigates the topic of entity alignment, which aims to detect equivalent entities that are located in different knowledge graphs. Entity alignment represents an essential step in enhancing the quality of knowledge graphs and hence is of significance to downstream applications,...
Springer, 2022. — 296 p. — ISBN: 978-981-16-8015-1. This book starts from the relationship between the urban built environment and travel behavior and focuses on analyzing the origin of traffic phenomena behind the data through multi-source traffic big data, which makes the book unique and different from the previous data-driven traffic big data analysis literature. This book...
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