基于神经网络的电子邮件自动分类方法

Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003) Pub Date : 2003-10-13 DOI:10.1109/WI.2003.1241300

J. Clark, I. Koprinska, Josiah Poon

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引用次数: 189

摘要

提出了一种基于神经网络的电子邮件自动归档和垃圾邮件过滤系统。实验表明，该方法比其他几种方法精度更高。我们还研究了各种特征选择、加权和规范化方法的影响，以及反垃圾邮件过滤器在不同用户之间的可移植性。

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A neural network based approach to automated e-mail classification

We present a neural network based system for automated e-mail filing into folders and anti-spam filtering. The experiments show that it is more accurate than several other techniques. We also investigate the effects of various feature selection, weighting and normalization methods, and also the portability of the anti-spam filter across different users.

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来源期刊

Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003)

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