%0 Journal Article
%T Spam message online filtering system based on hash function and naive Bayes<br>基于Hash函数和贝叶斯方法的垃圾短信在线过滤系统
%A FAN Jing
%A LIU Ju-xin
%A CHEN Feng
%A XU Cong-fu
%A <br>范晶
%A 刘菊新
%A 陈峰
%A 徐从富
%J 计算机应用
%D 2008
%I 
%X A spam message online filtering system was proposed,integrating the black-white list filtering module and synthesis value function module.A two-layer hash method and a probability computing method based on naive Bayes were used to analyze the suspect spam message in depth in terms of content,length,frequency and others.Excellent real-time and features in filtering the great many of short messages were achieved,and the problems of traditional spam message filtering system was resolved efficiently.
%K spam short message filter
%K hash function
%K naive Bayes<br>垃圾短信过滤
%K Hash函数
%K 朴素贝叶斯方法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=C51FA819D9675D4E3DF050631A77C0DE&yid=67289AFF6305E306&vid=D3E34374A0D77D7F&iid=E158A972A605785F&sid=FBF817B1E8A20479&eid=3395C64999261B75&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=6