The Design of Junk Mail Classification System Based on Na?ve Bayes
Zhiguo Xu · Journal of Yancheng Institute of Technology · 2008
The research of anti junk mail is the hotspot in computer science research area at all times.This paper combines the specific demand to junk mail classifier,introduces the knowledge of machine learning on the base of the traditional regular classification,presents the architecture of the junk mail system and the feature extraction algorithm,and tests a new method to compute the posteriori probability which sort a new email fall into,and discusses in detail the design of an individual junk mail classifier which is based on Na?ve-Bayes.When the system uses the dispart words algorithm,TFIDF feature subset abstraction algorithm and Naive-Bayes method,it classifies emails more precisely and more quickly.