%0 Journal Article
%T Structure-based bi-layer nBayes filtering model<br>基于结构特征的nBayes双层过滤模型
%A WANG Bin
%A XU Hong-bo
%A WANG Shen
%A <br>王 斌
%A 许洪波
%A 王 申
%J 计算机应用
%D 2006
%I 
%X Naive Bayes algorithm has been widely used in spam filtering,due to its simple mechanism and excellent performance.But when the structures are very different between two email corpus,the feature distributions vary a lot.The diversity of the feature distributions also affects the performance of Naive Bayes.The problem above was analyzed,and a structure-based 2-layers nBayes filtering model was provided,which used different nBayes filter to train and classify mail of different structure.Experiments show that Naive Bayes algorithm's performance improves a lot with this model.
%K machine learning
%K naive Bayes
%K text categorization
%K spam
%K content-based filtering<br>机器学习
%K 朴素贝叶斯
%K 文本分类
%K 垃圾邮件
%K 基于内容的过滤
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=9FA32B592D9BFEEA&yid=37904DC365DD7266&vid=96C778EE049EE47D&iid=CA4FD0336C81A37A&sid=AC1578C6BB9EBDEF&eid=B166F937E682CD9F&journal_id=1001-9081&journal_name=计算机应用&referenced_num=6&reference_num=13