摘要
垃圾邮件的广泛传播严重的影响的电子邮件的正常使用,对当前主要的反垃圾邮件过滤技术进行了分类和研究,并且提出了基于ROUGH SET优化的朴素贝叶斯分类邮件过滤算法。基于上述理论的反垃圾邮件过滤实验证明了算法的有效性。
The widely transmitting of Spam mail has effected the regular service seriously of e - mails. This paper analyses and studies on anti - spam filtering technology and present a new Bayesian SPAM filtering algorithm based on optimization of Rough Set. Finally an instance of the new Bayesian SPAM filtering algorithm based on optimization of Rough Set is proposed to prove effective of the algorithms
出处
《南昌大学学报(理科版)》
CAS
北大核心
2008年第6期605-608,共4页
Journal of Nanchang University(Natural Science)
基金
江西省科技攻关计划项目(基于服务网格的反垃圾邮件技术研究应用)
中科学院计算所开放课题[IIp2006-3]
南昌市科技局科技计划资助项目[2008]
江西省教育厅科技资助项目(赣教技[2007]28号)资助