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» Spam Email Filtering Using Network-Level Properties
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ISICT
2003
13 years 8 months ago
Spam filters: bayes vs. chi-squared; letters vs. words
We compare two statistical methods for identifying spam or junk electronic mail. Spam filters are classifiers which determine whether an email is junk or not. The proliferation ...
Cormac O'Brien, Carl Vogel
CCS
2008
ACM
13 years 8 months ago
Spamalytics: an empirical analysis of spam marketing conversion
The "conversion rate" of spam -- the probability that an unsolicited e-mail will ultimately elicit a "sale" -- underlies the entire spam value proposition. How...
Chris Kanich, Christian Kreibich, Kirill Levchenko...
CEAS
2008
Springer
13 years 8 months ago
Personalized Spam Filtering for Gray Mail
Gray mail, messages that could reasonably be considered either spam or good by different email users, is a commonly observed issue in production spam filtering systems. In this pa...
Ming-Wei Chang, Scott Yih, Robert McCann
CEAS
2008
Springer
13 years 8 months ago
Improving Image Spam Filtering Using Image Text Features
In this paper we consider the approach to image spam filtering based on using image classifiers aimed at discriminating between ham and spam images, previously proposed by other a...
Giorgio Fumera, Fabio Roli, Battista Biggio, Ignaz...
EACL
2003
ACL Anthology
13 years 8 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