| Publisher | GFI Software | ||
|---|---|---|---|
| Format | HTML | Date added | 18 Apr 2004 |
| Topics | Spam and E-mail Marketing | ||
| Downloads | 51 | ||
This white paper describes how Bayesian mathematics can be applied to the spam problem, resulting in an adaptive, 'statistical intelligence' technique that is much harder to circumvent by spammers. 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, databases of known spam and keyword checking. This is not to say that these technologies are obsolete, but they cannot be used as effectively as needed if not combined with a Bayesian filter.
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