基于贝叶斯网络的垃圾邮件自动识别  

Automation Recognition of Spam Based on Bayes Network

作　　者：李斌[1] 

机构地区：[1]广州医学院第二附属医院信息科,广州510260

出　　处：《现代计算机》2010年第6期26-29,共4页Modern Computer

摘　　要：在分析反垃圾邮件技术发展现状的基础上,提出一种基于贝叶斯智能分析的垃圾邮件识别方法,利用邮件中的词串作为构建贝叶斯网络的特征参数对网络进行训练,并用训练好的贝叶斯网络对邮件进行识别。实验结果表明文中提出的方法有良好的自学习能力及自适应性,具有较强的实用性。Proposes a method for automation recognition of spam based on Bayes intelligent analysis through analyzing of developmental status about anti-spam technology. Uses the word of e-mail acting as parameter of Bayes network to train Bayes network, and then performs recognizing of spam by Byes network which has been trained before. The experimental result improves that the method possess self-learning ability and nice adaptability, and it also has strong practicability.

关 键 词：垃圾邮件 反垃圾邮件 贝叶斯智能分析 朴素贝叶斯分类器 

分 类 号：TP393.098[自动化与计算机技术—计算机应用技术]