Arabic Spam Filtering using Bayesian Model
نویسندگان
چکیده
Many of us are concerned about an onslaught of SPAM email. Spam has become major problem for the email communications. The number of spam mails is increasing daily – studies show that over 45-50% of all current email communication is spam, it is an ever-increasing problem and will reach up to 70% in coming years. The volume of nonEnglish language spam is increasing day by day. The motivation for this research is to find a solution for the millions of internet users in the Arabic language struggling with hundreds of SPAMS being received every day in their mailbox. To filter this kind of messages, this research applied Bayesian Model which provides the framework for building intelligent learning system. General Terms Spam, spam filtering, Bayesian model.
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