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- W2536436548 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" @default.
- W2536436548 created "2016-10-28" @default.
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- W2536436548 date "2006-04-28" @default.
- W2536436548 modified "2023-10-02" @default.
- W2536436548 title "Research on illegal E-mails recognition Based on Bayesian Formula and Statistical Decision Tree" @default.
- W2536436548 cites W1575431606 @default.
- W2536436548 doi "https://doi.org/10.1109/icnnb.2005.1614617" @default.
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