An Efficient Gene Selection Algorithm Based on Tolerance Rough Set Theory-Reference-Cited by-同舟云学术

An Efficient Gene Selection Algorithm Based on Tolerance Rough Set Theory

Published:2009 Issue: Volume: Page:176-183
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
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Author:

Jiao Na,Miao Duoqian

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-10646-0_21.pdf

Reference8 articles.

1. Pawlak, Z.: Rough Sets. International Journal of Information Computer Science 11(5), 341–356 (1982)

2. Jensen, R., Shen, Q.: Tolerance-Based and Fuzzy-Rough Feature Selection. In: Proceedings of the 16th International Conference on Fuzzy Systems (FUZZ- IEEE 2007), pp. 877–882 (2007)

3. Parthalin, N.M., Shen, Q.: Exploring The Boundary Region of Tolerance Rough Sets for Feature Selection. Pattern Recognition 42, 655–667 (2009)

4. Miao, D.Q., Wang, J.: Information-Based Algorithm for Reduction of Knowledge. In: IEEE International Conference on Intelligent Processing Systems, pp. 1155–1158 (1997)

5. Wang, G.Y.: Rough Set Theory and Knowledge Acquisition. Xi’an Jiaotong University Press (2001) (in Chinese)

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