Krispisen a écrit : > i wonder then how can i use both to definitively not receive spam.... > coz, i'm an administrator ( lots of computers on my network), and > spamassassin is too slow... > bogofilter seems to be the godd solution, but i'd like itt to learn > automatically what spam is... > that why SA can teach him... but how... ? >
depends on your mail platform. what you can do is use SA and BF by default: - first filter through BF - if BF "confidence/probability" is high enough, don't filter through SA This step may be implemented in the MTA (such as postfix header_checks) or in an MDA. - if a message is detected as spam by SA, then run it through BF's learning command. This is the debatable part. Later on, if the message was an SA False positive, you'll need to retrain BF (and SA if using SA/Bayes|AWL). This step can be performed by an MDA (maildrop, procmail) for instance. but bayesian filters need "feedback" to correct their decisions. you can have a list of "trusted" users that feed back missed spam and false positives. or you can implement per user Bayes, but this will only be good for those users that really feed the filter back. so it really depends on your user community. If you have a spamtrap (a safe one of course), use it to feed BF (and SA if you enable SA/Bayes|AWL) Initially, you can train BF (and SA/Bayes) with a corpus if you have one. If you don't, you may try a public one (SA corpus, Enron corpus, ...). Google will get these...
