If I have understood correctly the Bayesian method, you do a global probability on the 15 most high probability present words in the mail (header & body). The client can do that but(he can read the mail because he's the taregt of the mail), on the server side, it's more complicated no???? (secret of the mail,...).
Blacklist : Why everybody says now that it's not a good solution??? Chris, you use in your class a package : org.apache.james.util.JDBCBayesianSPAMAnalyzer Where is this package please???(is it in this one that the Bayesian algo is implemented???). Have a good night Scherer Pierre > > Here's my Bayesian Mailets...I've been using them for a number of months > now...but there may still be a bug or two... > > I've tried to do a reasonable job at documentation, but I welcome comments > and suggestions. > > -Chris > > > -----Original Message----- > > From: Danny Angus [mailto:[EMAIL PROTECTED]] > > Sent: Sunday, January 26, 2003 5:21 PM > > To: James Users List > > Subject: Spam filtering mailets wanted... > > > > > > Hi, > > > > I run a number of James instances for a number of reasons. > > One in particular is having problems with a lot of spam being > > sent to a bona-fide account. > > I'd *really* appreciate anyone contacting me, or the list, with > > clever spam filtering mailets I could use. > > > > d. > > > > > > -- > > To unsubscribe, e-mail: > > <mailto:[EMAIL PROTECTED]> > > For additional commands, e-mail: > > <mailto:[EMAIL PROTECTED]> > > > > > -- To unsubscribe, e-mail: <mailto:[EMAIL PROTECTED]> For additional commands, e-mail: <mailto:[EMAIL PROTECTED]> _____________________________________________________________________ Envie de discuter en "live" avec vos amis ? T�l�charger MSN Messenger http://www.ifrance.com/_reloc/m la 1�re messagerie instantan�e de France -- To unsubscribe, e-mail: <mailto:[EMAIL PROTECTED]> For additional commands, e-mail: <mailto:[EMAIL PROTECTED]>
