Innovation with Bayesian Filtering

Bayesian filtering is based on the principle that any event is dependent and that the probability of an event occurring in the future can be inferred from the history of occurrences of that event: history is always repeating. Bayesian spam filtering has become a popular mechanism to distinguish illegitimate spam email from legitimate email (sometimes called "ham"). [Mehr]


Bayesian Filtering VS Keyword Filtering

This post is about how Bayesian Filtering overcomes the disadvantages of classical keyword filtering. It describes how Bayesian Filtering Works, how it calculatez its probabilities and what results it has. [Mehr]


24 features that any reliable server side anti-spam solution should have

Software essential antispam features for small and medium business [Mehr]