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...
Many of the first successful applications of statistical learning to anti-spam filtering were personalized classifiers that were trained on an individual user’s spam and ham ...
Abstract. Bayesian spam filters, in general, compute probability estimations for tokens either without considering the email areas of occurrences except the body or treating the s...
Spam is a dominant problem on email systems today. One of the reasons is the lack of infrastructure for security and trust. As Voice over IP (VoIP) communication becomes increasing...
In this paper we analyze a very large junk e-mail corpus which was generated by a hundred thousand volunteer users of the Hotmail e-mail service. We describe how the corpus is bei...
Geoff Hulten, Joshua T. Goodman, Robert Rounthwait...