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垃圾邮件并行过滤模型的设计
引用本文:王凤嫔,刘纯纯.垃圾邮件并行过滤模型的设计[J].大庆师范学院学报,2008,28(5):24-28.
作者姓名:王凤嫔  刘纯纯
作者单位:1. 大庆师范学院物理与电气信息工程系,黑龙江大庆,163712
2. 大庆油田有限责任公司储运销售分公司研究所,黑龙江大庆,163453
摘    要:随着网络的日益普及,垃圾邮件问题日趋严重,各种过滤垃圾邮件的算法也应运而生。简单贝叶斯方法计算简便,但受算法假设条件的限制,查全率和正确率都难以达到更高的层次;其他几种方法计算太复杂。将计算机理论中的“流水”概念引入到垃圾邮件分类器中,建立并行过滤模型,查全率和准确率都比较令人满意。

关 键 词:垃圾邮件过滤  文本分类  朴素贝叶斯  并行过滤  滑动窗口

Design of Parallel Filtering Model of Spain
WANG Feng-pin,LIU Chun-chun.Design of Parallel Filtering Model of Spain[J].Journal of Daqing Normal University,2008,28(5):24-28.
Authors:WANG Feng-pin  LIU Chun-chun
Institution:WANG Feng - pin, LIU Chun - Chun ( 1. Department of Physics and Electric information Engineering , Daqing Normal University, Daqing 163712,China;2. Institute of Daqing Oilfield Company Limited Storage and Transportation Sales Company, Daqing 163712 ,China)
Abstract:With the growing popularity of the network,the problem of spam is increasingly serious and corresponding various spam filtering algorithm come into being.Naive Bayes method is simple but limited because of algorithm assumptions,so its recall rate and the correct rate difficult to achieve a higher level.Other algorithms are more effective but complicated to compute.Trying to resolve this problem,we propose using slipping window,just like the "pipeline" of computer theory,and we call it as parallel filtering model.Finally,we get satisfactory results.
Keywords:spam filtering  text categorization  naive bayes  parallel filtering  slipping window
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