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» Spam Filtering Using Statistical Data Compression Models
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EACL
2003
ACL Anthology
15 years 3 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
INCDM
2010
Springer
152views Data Mining» more  INCDM 2010»
15 years 5 months ago
Spam Email Filtering Using Network-Level Properties
Abstract. Spam is serious problem that affects email users (e.g. phishing attacks, viruses and time spent reading unwanted messages). We propose a novel spam email filtering appr...
Paulo Cortez, André Correia, Pedro Sousa, M...
PKDD
2004
Springer
168views Data Mining» more  PKDD 2004»
15 years 7 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...
SIGSOFT
2007
ACM
16 years 2 months ago
Training on errors experiment to detect fault-prone software modules by spam filter
The fault-prone module detection in source code is of importance for assurance of software quality. Most of previous fault-prone detection approaches are based on software metrics...
Osamu Mizuno, Tohru Kikuno
KDD
2008
ACM
132views Data Mining» more  KDD 2008»
16 years 2 months ago
Partitioned logistic regression for spam filtering
Naive Bayes and logistic regression perform well in different regimes. While the former is a very simple generative model which is efficient to train and performs well empirically...
Ming-wei Chang, Wen-tau Yih, Christopher Meek