基于朴素贝叶斯算法的垃圾邮件过滤系统的研究与实现  

Research and implementation of spam filtering system based on Naive Bayes algorithm

作　　者：王斌[1] WANG Bin(Shangluo University,Shangluo 726000,China)

机构地区：[1]商洛学院,陕西商洛726000

出　　处：《电子设计工程》2018年第17期171-174,共4页Electronic Design Engineering

摘　　要：针对垃圾邮件泛滥的问题,本文基于朴素贝叶斯算法构建了邮件过滤系统,并采取平滑、归一化等方法进行数据预处理,提取结构与统计特征,通过邮件地址、邮件内容等多个方式进行过滤。计算机测试后表明本算法提高了垃圾邮件识别精度与准确率。In order to satisfy the requirement of the spamrecognition,a professional recognition system based on Naive Bayesis realized in this paper.The learning samples are smoothed and normalized.The spam is filtered by the e-mail address,e-mail content and other waysto improve the accuracy.The results show that the algorithm can improve the precision and accuracy of spam detection.

关 键 词：模式识别 邮件过滤 朴素贝叶斯 数据预处理 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]