naive bayesian spam filter question

I am planning to implement spam filter using Naive Bayesian classification model.

Online I see a lot of info on Naive Bayesian cla开发者_运维问答ssification, but the problem is its a lot of mathematical stuff, than clearly stating how its done. And the problem is I am more of a programmer than a mathematician (yes I had learnt Probability and Bayesian theorem back in school, but out of touch for a long long time, and I don't have luxury of learning it now (Have nearly 3 weeks to come-up with a working prototype)).

So if someone can explain or point me to location where its explained for programmers than a mathematician, it would be a great help.

PS: By the way I have to implement it in C, if you want to know. :(

Regards, Microkernel

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The book Programming Collective Intelligence has chapter that covers this and other methods. The chapter (#6) can be understood without reference to previous chapters, is written clearly, and discusses only the minimal mathematics necessary to get the job done.

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You could try this website. It's got some source code.

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I would highly recommend Andrew Moore's tutorials and I think you should start with this one.

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You could also take a look at POPFile, an open source spam filter engine.

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Have you looked at dspam?

http://dspam.irontec.com/faq.shtml#1.0

http://www.nuclearelephant.com/