[ excerpt with modifications from developer's site ] The SpamBayes project is working on developing a Bayesian anti-spam filter. SpamBayes will attempt to classify incoming email messages as 'spam', 'ham' (good, non-spam email) or 'unsure'. This means you can have spam or unsure messages automatically filed away in a different mail folder, where it won't interrupt your email reading. First, SpamBayes must be trained by each user to identify spam and ham. Essentially, you show SpamBayes a pile of email that you like (ham) and a pile you don't like (spam). SpamBayes will then analyze the piles for clues as to what makes the spam and ham different. For example; different words, differences in the mailer headers and content style. The system then uses these clues to examine new messages. WWW: http://spambayes.sourceforge.net/ orts-gnome Git repository'/>
aboutsummaryrefslogtreecommitdiffstats
path: root/japanese/ruby-usersguide
Commit message (Expand)AuthorAgeFilesLines
* Replace ugly "@unexec rmdir %D... 2>/dev/null || true" with @dirrmtryEdwin Groothuis2006-01-221-1/+1