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

机译:修改后的最低风险贝叶斯及其在垃圾邮件过滤中的应用

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摘要

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.
机译:为了解决洪水垃圾邮件问题,基于Adaboost算法和最小风险贝叶斯算法的垃圾邮件过滤算法是由后两者在深入分析和对它们的研究之后的组合而产生的。已经运行实验以将其应用于垃圾邮件过滤,结果表明,通过提高邮件过滤的准确性,该算法可以更好地实现垃圾邮件过滤系统的性能。

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