109 search results - page 2 / 22 » Spam Filtering Using Statistical Data Compression Models |
EACL
2003
ACL Anthology
13 years 7 months ago
2003
ACL Anthology
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 ...
INCDM
2010
Springer
13 years 9 months ago
2010
Springer
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...
PKDD
2004
Springer
13 years 11 months ago
2004
Springer
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...
SIGSOFT
2007
ACM
14 years 7 months ago
2007
ACM
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...
KDD
2008
ACM
14 years 6 months ago
2008
ACM
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...