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《Computer Engineering and Applications》 2003-25
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Improved Algorithm Based on ID3

Qu Kaishe 1 Cheng Wenli 2 Wang Junhong 11 (Computer Department of Shanxi University,Taiyuan030006) 2 (Computer Department of Taiyuan University of Technology,Taiyuan030024)  
Decision tree is an important method in induction learning as well as in Data Mining,which can be used to form classification and predictive model.ID3is the key algorithm of decision learning.For the shortcoming of inclining to chose attributions which has many values,the paper has imporved ID3by imtroducing user-interest and compared ID3with improved ID3by an example,the experiment has proved that the improved ID3algorithm is efficient.
【Fund】: 山西省自然科学基金项目资助(编号:20031036)
【CateGory Index】: TP311.13
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