Bayesian filters

Winning the War on spam: Comparison of Bayesian spam filters

Spam e-mail has become an ever increasing problem, and these days it is next to impossible to use e-mail without receiving it in large amounts. Various techniques exits to combat the problem; keyword-based filters, source blacklists, signature blacklists, source verification and combinations of these to name a few. All of them have problems; keyword filters needs to be constantly updated manually and are not very accurate; blacklists also need to be constantly updated, and will always lag behind spammers.

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