Bayesian Spam Filtering

Bayesian spam filtering ( /ˈbeɪziən/ BAY-zee-ən; after Rev. Thomas Bayes) is a statistical technique of e-mail filtering. It makes use of a naive Bayes classifier to identify spam e-mail.

Bayesian classifiers work by correlating the use of tokens (typically words, or sometimes other things), with spam and non-spam e-mails and then using Bayesian inference to calculate a probability that an email is or is not spam.

Bayesian spam filtering is a very powerful technique for dealing with spam, that can tailor itself to the email needs of individual users, and gives low false positive spam detection rates that are generally acceptable to users.