%0 Journal Article
%T Study on Entail Classifying Based on Information Entropy and Determination Tree Technique<br>基于信息熵和决策分类技术的邮件识别研究
%A LI Yang ZHAO Hua
%A <br>李洋
%A 赵骅
%J 计算机科学
%D 2008
%I 
%X By disperseing and charactering an email,this paper uses a group of vectors to express an email.And bring forward a determination tree classifying model base on information entropy.And then followed with some experiments and tests.The results proved that the model can find out how to identify the new spams by learning and training from the spams and normals.So it shows that our model and method work well.
%K Data mining
%K Information entropy
%K Determination tree
%K Spam<br>决策树
%K 信息增益
%K 数据挖掘
%K 垃圾邮件
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=8D1834DB1E5EE1A04EC2ED749F926465&yid=67289AFF6305E306&vid=6209D9E8050195F5&iid=0B39A22176CE99FB&sid=117F81797AB182FC&eid=CFAC5CB624A41AFD&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=7