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ISICT
2003
13 years 9 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
ICIAP
2007
ACM
14 years 1 months ago
Image Spam Filtering Using Visual Information
We address the problem of recognizing the so-called image spam, which consists in embedding the spam message into attached images to defeat techniques based on the analysis of e-m...
Battista Biggio, Giorgio Fumera, Ignazio Pillai, F...
INCDM
2010
Springer
152views Data Mining» more  INCDM 2010»
13 years 11 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...
PRL
2008
88views more  PRL 2008»
13 years 7 months ago
Time-efficient spam e-mail filtering using n-gram models
In this paper, we propose spam e-mail filtering methods having high accuracies and low time complexities. The methods are based on the n-gram approach and a heuristics which is re...
Ali Çiltik, Tunga Güngör
CIKM
2007
Springer
14 years 1 months ago
Spam filtering for short messages
We consider the problem of content-based spam filtering for short text messages that arise in three contexts: mobile (SMS) communication, blog comments, and email summary informa...
Gordon V. Cormack, José María G&oacu...