This white paper describes how Bayesian mathematics can be applied to the spam problem, resulting in an adaptive, ‘statistical intelligence’ technique that achieves very high spam detection rates.
It also explains why the Bayesian approach is the best way to tackle spam once and for all, as it overcomes the obstacles faced by more static technologies such as blacklist checking, comparing to databases of known spam and keyword checking. These technologies are not obsolete, but cannot be relied upon without a Bayesian filter.
This document is in PDF format. To view it click here.