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Fizz network structure mining based on nave bayes classification
Bing Xu Shao-zhong GUO Yong-zhong HUANG
Journal of Computer Applications
In this paper, we studied the algorithm of E-mail classification using nave 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.
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