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CEAS
2005
Springer
15 years 10 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»
15 years 9 months 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...
EACL
2003
ACL Anthology
15 years 5 months ago
A Comparison of Event Models for Naive Bayes Anti-Spam E-Mail Filtering
We describe experiments with a Naive Bayes text classifier in the context of anti-spam E-mail filtering, using two different statistical event models: a multi-variate Bernoulli ...
Karl-Michael Schneider
CEAS
2004
Springer
15 years 9 months ago
On Attacking Statistical Spam Filters
The efforts of anti-spammers and spammers has often been described as an arms race. As we devise new ways to stem the flood of bulk mail, spammers respond by working their way ar...
Gregory L. Wittel, Shyhtsun Felix Wu
AIRWEB
2009
Springer
15 years 11 months ago
Web spam challenge proposal for filtering in archives
András A. Benczúr, Miklós Erd...