%0 Journal Article
%T New effective method for spam filtering<br>一种有效的垃圾邮件过滤新方法
%A LIN Chen
%A LI Bi-cheng
%A <br>林琛
%A 李弼程
%J 计算机应用
%D 2006
%I 
%X A new effective method for spam filtering according to the principle of granularity was presented. First, this method divided spam class and legit class in train corpus into four small classes, and four center vectors were obtained. In the view of the principle of granularity, smaller granularity is used to describe knowledge in train corpus. When faltering, the new E-mail was compared with four center vectors respectively to decide which class it belonged to. This method was tested on spain corpus and compared with KNN. The results show that the new method has some advantages including high accuracy, high speed of filtering and so on.
%K KNN<br>垃圾邮件过滤
%K 粒度
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=452D854E04248D23&yid=37904DC365DD7266&vid=96C778EE049EE47D&iid=5D311CA918CA9A03&sid=E56875464B1C0EC1&eid=3F3D540C9B7906DE&journal_id=1001-9081&journal_name=计算机应用&referenced_num=3&reference_num=10