| Description |
1 online resource (xxvii, 671 pages) : illustrations (some color) |
| Series |
Chapman & Hall/CRC data mining and knowledge discovery series |
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Chapman & Hall/CRC data mining and knowledge discovery series.
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| Note |
"A Chapman & Hall book." |
| Summary |
"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"-- Provided by publisher |
| Bibliography |
Includes bibliographical references and index. |
| Contents |
1. An introduction to data classification / Charu C. Aggarwal -- 2. Feature selection for classification : a review / Jiliang Tang, Salem Alelyani, and Huan Liu -- 3. Probabilistic models for classification / Hongbo Deng, Yizhou Sun, Yi Chang, and Jiawei Han -- 4. Decision trees : theory and algorithms / Victor E. Lee, Lin Liu, and Ruoming Jin -- 5. Rule-based classification / Xiao-Li Li and Bing Liu -- 6. Instance-based learning : a survey / Charu C. Aggarwal -- 7. Support vector machines / Po-Wei Wang and Chih-Jen Lin -- 8. Neural networks : a review / Alain Biem -- 9. A survey of stream classification algorithms / Charu C. Aggarwal -- 10. Big data classification / Hanghang Tong -- 11. Text classification / Charu C. Aggarwal and ChengXiang Zhai -- 12. Multimedia classification / Shiyu Chang, Wei Han, Xianming Liu, Ning Xu, Pooya Khorrami, and Thomas S. Huang -- 13. Time series data classification / Dimitrios Kotsakos and Dimitrios Gunopulos -- 14. Discrete sequence classification / Mohammad Al Hasan -- 15. Collective classification of network data / Ben London and Lise Getoor -- 16. Uncertain data classification / Reynold Cheng, Yixiang Fang, and Matthias Renz -- 17. Rare class learning / Charu C. Aggarwal -- 18. Distance metric learning for data classification / Fei Wang -- 19. Ensemble learning / Yaliang Li, Jing Gao, Qi Li, and Wei Fan -- 20. Semi-supervised learning / Kaushik Sinha -- 21. Transfer learning / Sinno Jialin Pan -- 22. Active learning : a survey / Charu C. Aggarwal, Xiangnan Kong, Quanquan Gu, Jiawei Han, and Philip S. Yu -- 23. Visual classification / Giorgio Maria Di Nunzio -- 24. Evaluation of classification methods / Nele Verbiest, Karel Vermeulen, and Ankur Teredesai -- 25. Educational and software resources for data classification / Charu C. Aggarwal. |
| Subject |
File organization (Computer science)
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Categories (Mathematics)
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Algorithms.
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Computer algorithms.
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Fichiers (Informatique) -- Organisation. |
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Catégories (Mathématiques) |
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Algorithmes. |
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algorithms. |
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Computer algorithms |
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Algorithms |
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Categories (Mathematics) |
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File organization (Computer science) |
| Added Author |
Aggarwal, Charu C., editor.
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| Other Form: |
Print version: Data classification. Boca Raton : CRC Press, Taylor & Francis Group, [2014] 9781466586741 (DLC) 2013050912 (OCoLC)871962104 |
| ISBN |
9781466586758 (e-book ; PDF) |
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1466586753 (e-book ; PDF) |
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9780429102639 (electronic bk.) |
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0429102631 (electronic bk.) |
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(hardback ; acid-free paper) |
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(hardback ; acid-free paper) |
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