Rough Set Approach to Spam Filter Learning-Reference-Cited by-同舟云学术

Rough Set Approach to Spam Filter Learning

Published: Issue: Volume: Page:350-359
ISSN:0302-9743
Container-title:Rough Sets and Intelligent Systems Paradigms
language:
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Author:

Glymin Mawuena,Ziarko Wojciech

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-73451-2_37.pdf

Reference10 articles.

1. Graham, J.: The Spammers Compendium. 1996-2006 http://www.jgc.org/tsc/

2. Hulten, G., Penta, A., Seshadrinathan, G., Mishra, M.: Trends in spam products and methods. In: Proc. of the First Conference on E-mail and Anti-Spam (CEAS) (2004) http://www.ceas.cc/papers-2004/165.pdf

3. Yao, Y.Y., Wong, S.K.M.: A decision theoretic framework for approximating concepts. International Journal of Man-Machine Studies 37, 793–809 (1992)

4. Pawlak, Z.: Rough sets. International Journal of Computer and Information Sciences 11, 5, 341–356 (1982)

5. Pawlak, Z.: Rough Sets - Theoretical Aspects of Reasoning About Data. Kluwer Academic Publishers, Dordrecht (1991)

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