Classification Clustering And Data Mining Applications

Author : David Banks
Publisher : Springer Science & Business Media
ISBN 13 : 3642171036
Total Pages : 642 pages
Book Rating : 4.31/5 ( download)

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Download or read book Classification, Clustering, and Data Mining Applications written by David Banks and published by Springer Science & Business Media. This book was released on 2011-01-07 with total page 642 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume describes new methods with special emphasis on classification and cluster analysis. These methods are applied to problems in information retrieval, phylogeny, medical diagnosis, microarrays, and other active research areas.

Author : Ashok N. Srivastava
Publisher : CRC Press
ISBN 13 : 1420059459
Total Pages : 330 pages
Book Rating : 4.58/5 ( download)

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Download or read book Text Mining written by Ashok N. Srivastava and published by CRC Press. This book was released on 2009-06-15 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Definitive Resource on Text Mining Theory and Applications from Foremost Researchers in the FieldGiving a broad perspective of the field from numerous vantage points, Text Mining: Classification, Clustering, and Applications focuses on statistical methods for text mining and analysis. It examines methods to automatically cluster and classify te

Author : Krzystof Jajuga
Publisher : Springer Science & Business Media
ISBN 13 : 3642561810
Total Pages : 468 pages
Book Rating : 4.18/5 ( download)

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Download or read book Classification, Clustering, and Data Analysis written by Krzystof Jajuga and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents a long list of useful methods for classification, clustering and data analysis. By combining theoretical aspects with practical problems, it is designed for researchers as well as for applied statisticians and will support the fast transfer of new methodological advances to a wide range of applications.

Author : Ronald S. King
Publisher : Mercury Learning and Information
ISBN 13 : 1942270135
Total Pages : 300 pages
Book Rating : 4.33/5 ( download)

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Download or read book Cluster Analysis and Data Mining written by Ronald S. King and published by Mercury Learning and Information. This book was released on 2015-05-12 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cluster analysis is used in data mining and is a common technique for statistical data analysis used in many fields of study, such as the medical & life sciences, behavioral & social sciences, engineering, and in computer science. Designed for training industry professionals or for a course on clustering and classification, it can also be used as a companion text for applied statistics. No previous experience in clustering or data mining is assumed. Informal algorithms for clustering data and interpreting results are emphasized. In order to evaluate the results of clustering and to explore data, graphical methods and data structures are used for representing data. Throughout the text, examples and references are provided, in order to enable the material to be comprehensible for a diverse audience. A companion disc includes numerous appendices with programs, data, charts, solutions, etc. eBook Customers: Companion files are available for downloading with order number/proof of purchase by writing to the publisher at [email protected]. FEATURES *Places emphasis on illustrating the underlying logic in making decisions during the cluster analysis *Discusses the related applications of statistic, e.g., Ward’s method (ANOVA), JAN (regression analysis & correlational analysis), cluster validation (hypothesis testing, goodness-of-fit, Monte Carlo simulation, etc.) *Contains separate chapters on JAN and the clustering of categorical data *Includes a companion disc with solutions to exercises, programs, data sets, charts, etc.

Author : Guojun Gan
Publisher : SIAM
ISBN 13 : 1611976332
Total Pages : 430 pages
Book Rating : 4.35/5 ( download)

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Download or read book Data Clustering: Theory, Algorithms, and Applications, Second Edition written by Guojun Gan and published by SIAM. This book was released on 2020-11-10 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data clustering, also known as cluster analysis, is an unsupervised process that divides a set of objects into homogeneous groups. Since the publication of the first edition of this monograph in 2007, development in the area has exploded, especially in clustering algorithms for big data and open-source software for cluster analysis. This second edition reflects these new developments, covers the basics of data clustering, includes a list of popular clustering algorithms, and provides program code that helps users implement clustering algorithms. Data Clustering: Theory, Algorithms and Applications, Second Edition will be of interest to researchers, practitioners, and data scientists as well as undergraduate and graduate students.

Author : David Banks
Publisher :
ISBN 13 : 9783642171048
Total Pages : 676 pages
Book Rating : 4.44/5 ( download)

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Download or read book Classification, Clustering, and Data Mining Applications written by David Banks and published by . This book was released on 2004-06-09 with total page 676 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume describes new methods with special emphasis on classification and cluster analysis. These methods are applied to problems in information retrieval, phylogeny, medical diagnosis, microarrays, and other active research areas.

Author : Mr.Chitra Sabapathy Ranganathan
Publisher : Leilani Katie Publication
ISBN 13 : 819721381X
Total Pages : 155 pages
Book Rating : 4.16/5 ( download)

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Download or read book Advanced Data Mining Techniques: Classification, Clustering, Regression and Prediction written by Mr.Chitra Sabapathy Ranganathan and published by Leilani Katie Publication. This book was released on 2024-04-02 with total page 155 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mr.Chitra Sabapathy Ranganathan, Associate Vice President, Mphasis Corporation, Arizona, USA

Author : János Abonyi
Publisher : Springer Science & Business Media
ISBN 13 : 376437988X
Total Pages : 317 pages
Book Rating : 4.89/5 ( download)

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Download or read book Cluster Analysis for Data Mining and System Identification written by János Abonyi and published by Springer Science & Business Media. This book was released on 2007-08-10 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this book is to illustrate that advanced fuzzy clustering algorithms can be used not only for partitioning of the data. It can also be used for visualization, regression, classification and time-series analysis, hence fuzzy cluster analysis is a good approach to solve complex data mining and system identification problems. This book is oriented to undergraduate and postgraduate and is well suited for teaching purposes.

Author : Sang Suh
Publisher : Jones & Bartlett Publishers
ISBN 13 : 0763785873
Total Pages : 436 pages
Book Rating : 4.71/5 ( download)

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Download or read book Practical Applications of Data Mining written by Sang Suh and published by Jones & Bartlett Publishers. This book was released on 2012 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to data mining -- Association rules -- Classification learning -- Statistics for data mining -- Rough sets and bayes theories -- Neural networks -- Clustering -- Fuzzy information retrieval.

Author : Derya Birant
Publisher : BoD – Books on Demand
ISBN 13 : 183968318X
Total Pages : 214 pages
Book Rating : 4.83/5 ( download)

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Download or read book Data Mining written by Derya Birant and published by BoD – Books on Demand. This book was released on 2021-01-20 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data mining is a branch of computer science that is used to automatically extract meaningful, useful knowledge and previously unknown, hidden, interesting patterns from a large amount of data to support the decision-making process. 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. This book brings together many different successful data mining studies in various areas such as health, banking, education, software engineering, animal science, and the environment.