Data classification : algorithms and applications
Titre:
Data classification : algorithms and applications
ISBN (Numéro international normalisé des livres):
9780429102639
PRODUCTION_INFO:
Boca Raton : CRC Press, [2015]
©2015
Description physique:
1 online resource
Collections:
Chapman & Hall/CRC data mining and knowledge discovery series
Chapman & Hall/CRC data mining and knowledge discovery series.
Table des matières:
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.
Extrait:
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.
Auteur ajouté:
Accès électronique:
Full Text Available From Taylor & Francis e-Books
Langue:
Anglais