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Bayesian Spam Filters Explained
By Niall Roche
In a word Bayesian filters are "intelligent". Bayesian filters are intelligent in so far as they're capable of comparing two sets of information and acting on the result. This is in direct contrast to the vast majority of other filters who use pre-built rules to decide which e-mail is and which is not.

Bayesian filters can take one group of legitimate e-mail and another group of and compare the values and data of each. The definition of legitimate e-mail that it creates at the end of this comparison session is what it uses going forward to scan your inbox for spam.

FYI Bayesian filters are named after Thomas Bayes an 18 century cleric who created something known as Bayes Theorem. In summary Bayes Theorem is as follows: .."in statistical inference to update estimates of the probability that different hypotheses are true, based on observations and a knowledge of how likely those observations are, given each hypothesis." In plain English it looks for obvious repeating patterns to form an "opinion" on something. In filter terms that "opinion" becomes a rule which keeps you free (or pretty close :-)

The really neat thing about Bayesian filters is that they're capable of learning. For example if they decided to block an e-mail because the filter perceived it as junk but the user marked it

as valid mail the Bayesian filter then knows not to block that type of e-mail in the future. So, in time, this type of filter learns enough to block far more effectively. AOL have embraced this type of filter with the launch of AOL 9.0 and AOL Communicator- if the big dog wants it then it must be worthwhile?

So what Bayesian filtering options are available to you? Well quite a few to be honest and you'll be pleasantly surprised by some of the names involved :-) The first one on the list is AOL with their AOL Communicator product. The filtering features in AOL Communicator and AOL 9 are, to be honest, impressive. Think what you will of the provider themselves AOL Communicator is an excellent product and is suitable for use by both PC and Mac OSX users.

Next up we have Eudora. The nice folks at Qualcomm have designed an excellent e-mail client that also has built in Bayesian filtering. I've used Eudora in the past and it's a neat little package. Again the benefits here are advanced integrated filtering with your e-mail automatically. Mac OSX and OS9 users are in luck with Eudora providing support for both.
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