摘要
机器学习算法在目前垃圾邮件过滤中扮演着重要的角色,但单一学习算法往往有各自的缺陷,限制了其在邮件过滤中的进一步应用。该文介绍了几种典型机器学习算法,并构造了一种基于多机器学习算法的投票式过滤模型。实验表明,该方法充分利用了各机器学习算法的优势,弥补了各自的不足,达到了比单一学习算法更好的过滤性能。
The machine learning algorithms play an important role in current spam filter, but a single machine learning algorithm has its own drawback which restrains it from further application in E-mail filter. This paper introduces some typical machine learning algorithms, and constructs a voting E-mail filter model based on multi-machine learning algorithms. The experiments show that this method makes use of every machine learning algorithm＇s advantage, and offsets its disadvantage, and achieves better filter performance than a single algorithm.
出处
《计算机工程》
EI
CAS
CSCD
北大核心
2006年第19期214-216,共3页
Computer Engineering
