The Research On Intelligent Agent For Mail Server

With the development of Internet, there are more and more network services.Using email online is becoming one kind of quick and economical means of communication, and there remains a vital problem: how to face the variously email everyday. Although there are many spam filtering methods today, the effect is not very ideal. Therefore, to study a highly new effective mail filtering system still has the special practical significance.This thesis provides a mail filtering method based on Bayes, applies it to the network security in intelligent agent mail service, and has the vital significance to enhance the mail classifying and spam filtering.The main work reads as follows:1) It proposes main content studying in this thesis by analysising present domestic and foreign mails classification correlation technology. Introduce principle and function of mail server.The whole design of intelligent agent for mail server is described in this chapter. It includes primary modules and function of each module. Proposed filtering based on mail length characteristic , in order to enhance classification accuracy.2) It Introduced the principle of email system, and mainly about Java Mail API. The most important technology as HTML parser is also discussed. Chinese text splitter is described in this chapter. Based on analysis of all sorts of Chinese text splitter arithmetic, we discussed how to use max match Chinese text splitter arithmetic in the Chinese text splitter. This chapter compares all sorts of feature select arithmetic. The advantage and disadvantage of these arithmetic are summarized. We proposed a arithmetic named as advanced Mutual Information to realize the extraction of the character. This chapter compares all sorts of methods in classification of Email. We proposed to use Naive Bayes machine learning method and discussed the arithmetic of how to category the Email with naive bayes machine learning. At last we present how to reality such a classier.3) Implement and performance analysis of intelligent agent for mail server. It carries on the summary to this topic research, and has forecast the next development direction.