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《Computer Science》 2008-02
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Study on Email Classifying Based on Information Entropy and Determination Tree Technique

LI Yang ZHAO Hua(College of Economics and Business Administration,Chongqing University,Chongqing 400030)  
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.
【CateGory Index】: TP393.098
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