Spam Filtering Based on Latent Semantic Indexing-Reference-Cited by-同舟云学术

Spam Filtering Based on Latent Semantic Indexing

Published:2008 Issue: Volume: Page:165-183
ISSN:
Container-title:Survey of Text Mining II
language:
Short-container-title:

Author:

Gansterer Wilfried N.,Janecek Andreas G. K.,Neumayer Robert

Publisher

Springer London

Link

http://link.springer.com/content/pdf/10.1007/978-1-84800-046-9_9.pdf

Reference16 articles.

1. I. Androutsopoulos, J. Koutsias, K. Chandrinos, and C.D. Spyropoulos. An experimental comparison of naive bayesian and keyword-based anti-spam filtering with personal e-mail messages. In SIGIR ’00: Proceedings of the 23rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 160-167, 2000. Available from World Wide Web: http://doi.acm.org/10.1145/345508.345569 .

2. Apache Software Foundation. SpamAssassin open-source spam filter, 2006. Available from World Wide Web: http://spamassassin.apache.org/ .

3. A. Back. Hashcash—a denial of service counter-measure, 2002. Available from World Wide Web: http://www.hashcash.org/papers/hashcash.pdf .

4. M.W. Berry, Z. Drmac, and E.R. Jessup. Matrices, vector spaces, and information retrieval. SIAM Review, 41(2):335-362, 1999.

5. G.V. Cormack and T.R. Lynam. TREC 2005 spam public corpora, 2005. Available from World Wide Web: http://plg.uwaterloo.ca/cgi-bin/cgiwrap/gvcormac/foo .

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