Fizz network structure mining based on na(i)ve bayes classification
基于朴素贝叶斯分类算法的活跃网络结构挖掘

In this paper, we studied the algorithm of E-mail classification using naIve 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.