Spam Email Filter System based on Bayesian Algorithm and Fisher Algorithm Design and Implementation
Wei Xia · Xinxi wangluo anquan · 2012
Bayesian filtering algorithm and Fisher filtering algorithm which are use of statistical knowledge for the spam filtering algorithm have a good filtering effect.The design which uses weighted method to calculate words probability improves situations which the Naive Bayesian algorithm and the Naive Fisher algorithm are misjudged when they find few words in emails and increases spam judgment accuracy rate.The design which uses user's personalized filtering scheme filters spam emails.The design which uses POP3 protocol or IMAP protocol supports to download emails from the mail server,analyzes emails which use MIME protocol and helps users to send emails which uses SMTP protocol.