An Email Classification Model Based on Rough Set and Support Vector Machine

Zhiqing Zhu
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引用次数: 16

Abstract

The communication via email is one of the most popular services of the Internet. Emails have brought us great convenience in our daily work and life. However, unsolicited messages or spam, flood our email boxes, which results in bandwidth, time and money wasting. To this end, this paper presents a novel approach based on rough set theory and supporter vector machine is proposed to classify emails. The experiment results show this approach can get high recognition ratio and reduce the cost of calculation.
基于粗糙集和支持向量机的电子邮件分类模型
通过电子邮件进行通信是互联网最受欢迎的服务之一。电子邮件给我们的日常工作和生活带来了极大的方便。然而,未经请求的信息或垃圾邮件充斥着我们的电子邮箱,这导致了带宽,时间和金钱的浪费。为此,本文提出了一种基于粗糙集理论和支持向量机的电子邮件分类方法。实验结果表明,该方法具有较高的识别率和较低的计算成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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