Survey of Application of Bayesian Classifying Method to Spam Filtering
垃圾邮件过滤的贝叶斯方法综述*

The study on content-based spam filtering is one of the hot topics in the Internet security research area all over the world recently. Since spam filtering is a classification problem, all classifying method in machine-learning could be applied to the field. Among them, Bayesian classify method has expressed high accuracy. In this paper, the basic theory of Bayesian classifying method is described in detail, and different implementation methods are compared and summarized. Also, limitation of Bayesian method is evaluated and the research direction in future is proposed according to the limitation.