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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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【References】
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1 WANG Jun1,SHI Ke2,WANG Hui1(1.Information Network Centre,Hefei University of Technology,Hefei 230009,China;2.School of Computer Science and Technology,Anhui University,Hefei 230039,China);Research on the feature selection method for spam filtering[J];Journal of Hefei University of Technology(Natural Science);2009-12
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1 ZHAO Li~(1,2),LIAO Wen-jian~(1,2),PENG Yan-bing~(1,2) (1 Wuhan Research Institute of Posts and Telecommunications,Hubei Wuhan 430074,China) (2 Fiberhome Communication Technology Co.Ltd,Jiangsu Nanjing 210019,China);A Research on Spam Filtering Method Based on the Chinese Subject[A];[C];2009
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Chinese Journal Full-text Database 1 Hits
1 WANG Ming1,ZHANG Zheng2(1.School of Management,China University of Mining and Technology,Jiangsu Xuzhou 221116,China;2.Baoding Municipal Bureau of Land and Resources Xinshiqu Branch,Hebei Baoding 071000,China);Research on Bayesian Classification Algorithm of SQL Server 2008 R2[J];Journal of Hebei Software Institute;2011-03
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