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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,...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Boca Raton :
CRC Press,
[2015]
|
| Colección: | Chapman & Hall/CRC data mining and knowledge discovery series.
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 245 | 0 | 0 | |a Data classification : |b algorithms and applications / |c edited by Charu C. Aggarwal, IBM T.J. Watson Research Center, Yorktown Heights, New York, USA. |
| 264 | 1 | |a Boca Raton : |b CRC Press, |c [2015] | |
| 264 | 4 | |c ©20 | |
| 264 | 4 | |c ©2015 | |
| 300 | |a 1 online resource (xxvii, 671 pages) : |b illustrations (some color) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Chapman & Hall/CRC data mining and knowledge discovery series | |
| 500 | |a "A Chapman & Hall book." | ||
| 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"-- |c Provided by publisher | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a 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. | |
| 588 | 0 | |a Print version record. | |
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a File organization (Computer science) | |
| 650 | 0 | |a Categories (Mathematics) | |
| 650 | 0 | |a Algorithms. | |
| 650 | 0 | |a Computer algorithms. | |
| 650 | 6 | |a Fichiers (Informatique) |x Organisation. | |
| 650 | 6 | |a Catégories (Mathématiques) | |
| 650 | 6 | |a Algorithmes. | |
| 650 | 7 | |a algorithms. |2 aat | |
| 650 | 7 | |a Computer algorithms. |2 fast |0 (OCoLC)fst00872010 | |
| 650 | 7 | |a Algorithms. |2 fast |0 (OCoLC)fst00805020 | |
| 650 | 7 | |a Categories (Mathematics) |2 fast |0 (OCoLC)fst00849000 | |
| 650 | 7 | |a File organization (Computer science) |2 fast |0 (OCoLC)fst00924147 | |
| 700 | 1 | |a Aggarwal, Charu C., |e editor. | |
| 776 | 0 | 8 | |i Print version: |t Data classification. |d Boca Raton : CRC Press, Taylor & Francis Group, [2014] |z 9781466586741 |w (DLC) 2013050912 |w (OCoLC)871962104 |
| 830 | 0 | |a Chapman & Hall/CRC data mining and knowledge discovery series. | |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781466586741/?ar |z Texto completo (Requiere registro previo con correo institucional) |
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