Naive Bayesian for Email Filtering
Yongcheng Wang · Jisuanji gongcheng · 2002
The paper presents a method of email filter based on Naive Bayesian theory that can effectively filter junk mail and illegal mail. Furthermore, the keys of implementation are discussed in detail. The filtering model is obtained from training set of email. The filtering can be done without the users specification of filtering rules.