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Research in Anti-Spam Method Based on Bayesian Filtering

机译:基于贝叶斯滤波的反垃圾邮件方法研究

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摘要

The Study on content-based spam filtering is one of the important topics in the Internet security research area. And Bayesian classification method has expressed better performance on anti-spam. An improved new method that classifies spam filtering based on Bayesian filtering is proposed in this paper. The experiment results show that the new method has improved spam recall and spam precision.
机译:基于内容的垃圾邮件过滤研究是互联网安全研究区的重要主题之一。贝叶斯分类方法在反垃圾邮件上表达了更好的性能。提出了一种改进的新方法,用于基于贝叶斯滤波的基于贝叶斯滤波。实验结果表明,新方法改善了垃圾邮件召回和垃圾邮件精度。

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