摘要
目前电子邮件得到了广泛的应用,同时垃圾邮件问题也随之而来。本文针对垃圾邮件的处理,从用户的兴趣角度出发,基于朴素贝叶斯算法对垃圾邮件个性化过滤.在朴素贝叶斯算法的条件概率计算中,本文选用了多变量贝努里事件模型的计算方法,最后以VC++6.0为实验平台在Ling-Spam语料库上进行实验.
E - mail is widely used all over the world recently. At the same time, junk e - mail problems also arise. In order to deal with the spare,from the users point of interest, the paper was based on the naive Bayesian algorithm for personalized spare filter. In terms of probability calculation of Naive Bayes algorithm, the paper selected calculation of multi - variable model of Bernoulli event,and carried out an experiment on the Ling- Spam Corpus with VC ＋ ＋ 6.0 platform.
