Data classification : algorithms and applications / edited by Charu C. Aggarwal, IBM T.J. Watson Research Center, Yorktown Heights, New York, USA.

Format:

Book

Contributor:

Aggarwal, Charu C., editor.

CRCnetBASE.

Series:

Chapman & Hall/CRC data mining and knowledge discovery series

Language:

English

Subjects (All):

File organization (Computer science).

Categories (Mathematics).

Algorithms.

Genre:

Electronic books.

Physical Description:

1 online resource (xxvii, 671 pages) : illustrations (some color).

polychrome

Place of Publication:

Boca Raton : CRC Press, [2015]

System Details:

text file

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.

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.

Notes:

"A Chapman & Hall book."

Includes bibliographical references and index.

Description based on print version record.

Other Format:

Print version: Data classification.

ISBN:

9781466586758

1466586753

OCLC:

890721171

Access Restriction:

Restricted for use by site license.