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Rough set theory approach for filtering spams from boundary messages in a chat system

机译:粗糙集理论方法在聊天系统中从边界消息中过滤垃圾邮件

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This paper purports a refreshing spam discovery technology for chat system based on rough set theory. Nowadays, spam is very much allied with a huge chunk of data transferred through internet involving all disturbing and unsolicited contents received via different web-services such as chat systems, e-mail, forums and web logs. In this paper, we have reviewed various past research works of filtering SPAM and propose a novel filtering technique for SPAM especially for chat system with the support of classical rough set theory. Simulation results clearly indicate that our proposed method, can achieve higher accuracy in spam detection as compared to the existing strategies.
机译:本文提出了一种基于粗糙集理论的聊天系统垃圾邮件发现技术。如今,垃圾邮件与通过互联网传输的大量数据相关,涉及通过不同的Web服务(例如聊天系统,电子邮件,论坛和Web日志)接收的所有令人不安和未经请求的内容。在本文中,我们回顾了过去对SPAM进行过滤的各种研究工作,并在经典粗糙集理论的支持下提出了一种针对SPAM的新过滤技术,尤其是针对聊天系统。仿真结果清楚地表明,与现有策略相比,我们提出的方法可以在垃圾邮件检测中实现更高的准确性。

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