改进型贝叶斯算法网络垃圾邮件信息过滤技术  

Improved Bayesian Spam Filtering Technology of Network Information

作　　者：李爽[1] 

机构地区：[1]贵州财经学院继续教育学院,贵州550001

出　　处：《科技通报》2012年第4期180-181,共2页Bulletin of Science and Technology

摘　　要：针对传统的朴素贝叶斯算法对垃圾邮件的过滤率不高等问题,提出了一种基于最小风险贝叶斯网络垃圾邮件信息过滤技术,提出的最小风险贝叶斯能够减少正常邮件判为垃圾邮件的风险,最后实验表明,与传统的算法相比较,本文提出的方法过滤效果有较大的提高。In this paper the traditional naive Bayes algorithm for spam filtering rate is not advanced problem, proposed one kind based on the minimum risk Bayesian spam filtering technology of network information, the minimum risk Bayes can reduce the normal mail condemned as spam risk, finally the experimental result indicated that, compared with traditional algorithm, this paper puts forward the method of filtering effect improved.

关 键 词：贝叶斯算法 特征选择 邮件过滤 最小风险贝叶斯 

分 类 号：TP319[自动化与计算机技术—计算机软件与理论]