摘要
为了抵制垃圾邮件对互联网及其用户造成的严重不良影响,本文采用高效的贝叶斯分类算法,基于hadoop平台实现垃圾邮件的过滤系统,克服了传统并行系统在编程实现和系统扩展上的不足,充分利用云计算环境优势,使系统实现简单,扩展容易,性能提高;并做了相关的试验,验证了设计理论。
To preventing the Internet and users from the influence of spam, the spam filtering system based on Bayes Classifica-tion Algorithm and the hadoop platform is proposed, overcoming the insufficiency of programming and system extension in the tradi-tional parallel system. This system makes full use of the advantages of cloud computing environment, which is easy to be implement-ed and extended. And the related test is done to verify the design theory.
出处
《电脑与电信》
2014年第1期53-55,共3页
Computer & Telecommunication
关键词
垃圾邮件
云计算
贝叶斯分类
spam
cloud computing
Bayes Classification
MapReduce
HDFS