N.-Y.: Chapman and Hall/CRC, 2014. — 652 p. — (Data Mining and Knowledge Discovery Series). — e-ISBN: 978-1-4665-5822-9. Research on the problem of clustering tends to be fragmented across the pattern recognition, database, data mining, and machine learning communities. Addressing this problem in a unified way, Data Clustering: Algorithms and Applications provides complete...
ITexLi, 2021. — 126 p. — ISBN: 1-83-968799-1 978-1-83-968799-0 1-83-968800-9 978-1-83-968800-3. This book discusses data integrity and data quality as well as their applications in various fields. Data integrity is the quality, reliability, trustworthiness, and completeness of a data set, providing accuracy, consistency, and context. Data quality refers to the state of...
ITexLi, 2021. — 193 p. — ISBN: 1-83968-319-8 978-1-83968-319-0 1-83968-320-1 978-1-83968-320-6. This book presents recent theoretical and practical advances in the field of data mining. It discusses a number of data mining methods, including classification, clustering, and association rule mining. Data mining is a branch of computer science that is used to automatically extract...
Springer, 2016. — 222 p. — (ICSA Book Series in Statistics). — ISBN: 9811025932, 9789811025938 This book gathers invited presentations from the 2nd Symposium of the ICSA- CANADA Chapter held at the University of Calgary from August 4-6, 2015. The aim of this Symposium was to promote advanced statistical methods in big-data sciences and to allow researchers to exchange ideas on...
Taiwan: Department of Computer Science, National Taiwan University, 2010. — 16 p. The support vector machine (SVM) is a popular classi cation technique. However, beginners who are not familiar with SVM often get unsatisfactory results since they miss some easy but signifcant steps. In this guide, a simple procedure which usually gives reasonable results is proposed.
Advisor, World Bank, December 15, 1997 — 32 p. Applications of neural networks to finance and investments can be found in several books and articles. The great majority of these applications use supervised neural network models for forecasting market trends, creating trading models, portfolio or risk management. So far few applications of unsupervised neural networks in finance...
Dzwinel W., Yuen D.A., Boryczko K. — Cluster Analysis, Data-Mining, Multi-dimensional Visualization of Earthquakes over Space, Time and Feature Space // Earth and Planetary Sci. Letters, August, 2003. A novel technique based on cluster analysis of the multi-resolutional structure of earthquake patterns is developed and applied to observed and synthetic seismic catalogs. The...
New York: Springer, 2016. — 538 p. This proceedings volume is a collection of peer reviewed papers presented at the 8th International Conference on Soft Methods in Probability and Statistics (SMPS 2016) held in Rome (Italy). The book is dedicated to Data science which aims at developing automated methods to analyze massive amounts of data and to extract knowledge from them. It...
Springer, 2012. — 613 p. Proceedings of the 34th Annual Conference of the Gesellschaft für Klassifikation e. V., Karlsruhe, July 21-23, 2010. Revised versions of selected papers presented at the 34th Annual Conference of the German Classification Society (GfKl (Gesellschaft für Klassifikation), a member of IFCS (International Federation of Classification Societies)), held at...
Springer. 2007. - 1392 p. - ISBN: 3540742018 Third International Conference on Intelligent Computing, ICIC 2007 Qingdao, China, August 21-24, 2007 Proceedings. This book - in conjunction with the two volumes CICS 0002 and LNCS 4681 - constitutes the refereed proceedings of the Third International Conference on Intelligent Computing, ICIC 2007, held in Qingdao, China in August...
Articles: Chapter I introduces the concept and the process of data mining, plus its relationship with bioinformatics. Tasks and techniques of data mining are also presented. At the end, selected bioinformatics problems related to data mining are discussed. It provides an overview of data mining in bioinformatics. Chapter II reviews the recent developments related to...
The American Statistician, Volume 65, Issue 4, 2011, pp. 265-273 As the use of spreadsheet packages for statistical analysis increases, so does the need for assessing the reliability of these packages. This study compares the accuracy of six spreadsheet packages: Excel, Google Docs, Gnumeric, Numbers, OpenOffice Calc, and Quattro Pro. The National Institute of Standards and...
Sofia, Bulgaria, 2010 ISBN: 978-954-16-0042-9 This book maintains articles on actual problems of classification, data mining and forecasting as well as natural language processing: - new approaches, models, algorithms and methods for classification, forecasting and clusterisation. Classification of non complete and noise data; - discrete optimization in logic recognition...
Psychometrika, June 1985, Volume 50, Issue 2, pp. 159-179 A Monte Carlo evaluation of 30 procedures for determining the number of clusters was conducted on artificial data sets which contained either 2, 3, 4, or 5 distinct nonoverlapping clusters. To provide a variety of clustering solutions, the data sets were analyzed by four hierarchical clustering methods. External...
Springer, 2017. — 895 p. — ISBN: 978-3319493398. This handbook offers comprehensive coverage of recent advancements in Big Data technologies and related paradigms. Chapters are authored by international leading experts in the field, and have been reviewed and revised for maximum reader value. The volume consists of twenty-five chapters organized into four main parts. Part one...
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