Data classification algorithms and applications

This book homes in on three primary aspects of data classification: the core methods for data classification including probabilistic classification, decision trees, rule-based methods, and SVM methods; different problem domains and scenarios such as multimedia data, text data, biological data, categ...

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Bibliographic Details
Other Authors: Aggarwal, Charu C. (Editor)
Format: Book
Language:English
Published: Boca Raton CRC Press, Taylor & Francis Group 2015
Series:Chapman & Hall/CRC data mining and knowledge discovery series.
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245 0 0 |a Data classification  |b algorithms and applications  |c edited by Charu C. Aggarwal. 
264 1 |a Boca Raton  |b CRC Press, Taylor & Francis Group  |c 2015 
300 |a xxvii, 671 pages  |b illustrations (some color)  |c 26 cm. 
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490 1 |a Chapman & Hall/CRC data mining and knowledge discovery series. 
500 |a "A Chapman & Hall book." 
504 |a Includes bibliographical references and index. 
520 |a This book homes in on three primary aspects of data classification: the core methods for data classification including probabilistic classification, decision trees, rule-based methods, and SVM methods; different problem domains and scenarios such as multimedia data, text data, biological data, categorical data, network data, data streams and uncertain data: and different variations of the classification problem such as ensemble methods, visual methods, transfer learning, semi-supervised methods and active learning. These advanced methods can be used to enhance the quality of the underlying classification results. 
592 |a 32682  |b 09/01/2017  |c RM 337.69  |h Bookline 
650 0 |a File organization (Computer science). 
650 0 |a Categories (Mathematics). 
650 0 |a Algorithms. 
700 1 |a Aggarwal, Charu C.,  |e editor. 
830 0 |a Chapman & Hall/CRC data mining and knowledge discovery series. 
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