关键词: 电子邮件, 贝叶斯算法, 朴素贝叶斯分类算法, 活跃网络, 活跃度

Abstract: In this paper, we studied the algorithm of E-mail classification using nave Bayes classification. The concepts of Fizz Network and Fizz Degree were proposed. We presented the algorithm to depict the communication network of criminous orgnization, and the algorithm for structure mining. Finally, the experiments prove the good performance of the proposed algorithm.

Key words: E-mail, bayesian algorithm, naive bayes classification, fizz network, fizz degree