A Modified Minimum Risk Bayes and It’s Application in Spam Filtering

To settle the problem of the flood spam, a spam filtering algorithm based on AdaBoost algorithm and minimum Risk Bayes algorithm is created by the combination of the latter two after in-depth analysis and research of them. Experiments have been run to apply it to spam filtering, the result of which shows that this algorithm can better the performance of spam filtering system by improving the accuracy of mail filtering.

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