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» Adaptive Filtering of SPAM
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PAKDD
2005
ACM
134views Data Mining» more  PAKDD 2005»
14 years 1 months ago
Improved Bayesian Spam Filtering Based on Co-weighted Multi-area Information
Abstract. Bayesian spam filters, in general, compute probability estimations for tokens either without considering the email areas of occurrences except the body or treating the s...
Raju Shrestha, Yaping Lin
MOBISEC
2009
Springer
14 years 2 months ago
Filtering SPAM in P2PSIP Communities with Web of Trust
Spam is a dominant problem on email systems today. One of the reasons is the lack of infrastructure for security and trust. As Voice over IP (VoIP) communication becomes increasing...
Juho Heikkilä, Andrei Gurtov
WWW
2004
ACM
14 years 8 months ago
Filtering spam e-mail on a global scale
In this paper we analyze a very large junk e-mail corpus which was generated by a hundred thousand volunteer users of the Hotmail e-mail service. We describe how the corpus is bei...
Geoff Hulten, Joshua T. Goodman, Robert Rounthwait...
CEAS
2005
Springer
14 years 1 months ago
Naive Bayes Spam Filtering Using Word-Position-Based Attributes
This paper explores the use of the naive Bayes classifier as the basis for personalised spam filters. Several machine learning algorithms, including variants of naive Bayes, hav...
Johan Hovold
PKDD
2004
Springer
168views Data Mining» more  PKDD 2004»
14 years 29 days ago
Combining Winnow and Orthogonal Sparse Bigrams for Incremental Spam Filtering
Spam filtering is a text categorization task that has attracted significant attention due to the increasingly huge amounts of junk email on the Internet. While current best-pract...
Christian Siefkes, Fidelis Assis, Shalendra Chhabr...