Research on illegal E-mails recognition Based on Bayesian Formula and Statistical Decision Tree

Kejian Wang Kejian Wang,Shuhui Chang Shuhui Chang,Xinsheng Sun Xinsheng Sun,Guifa Teng Guifa Teng,Xiurong An Xiurong An,Dongmei Huang Dongmei Huang

doi:10.1109/icnnb.2005.1614617

Research on illegal E-mails recognition Based on Bayesian Formula and Statistical Decision Tree

Kejian Wang Kejian Wang, Shuhui Chang Shuhui Chang + Show 4 more

https://doi.org/10.1109/icnnb.2005.1614617

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Publication Date: Oct 13, 2005

Affiliation: Hebei Agricultural University

#Statistical Decision Tree #Bayesian Statistical Decision + Show 8 more

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Abstract

This paper introduces an algorithm based on Bayesian statistics and statistical decision tree (SDT) to recognize illegal E-mails. At first, Bayesian statistics can filter some specific words which are often used in illegal E-mails. Then, SDT can determine illegal E-mails by Semanteme analyse. After those two process, the illegal E-mails can also be easily determined and the recognition rate of illegal E-mails has been improved

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