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《Journal of Anhui Vocational College of Electronics & Information Technology》 2006-04
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The research on the accuracy and rules simplification of Eclectic Decision Tree

Hua Wen-li, Hu Xue-gang  
This paper analyzes the defects of C4.5 Algorithm from the practical angle and proposes the classification accuracy and the classification rules simplification. Based on these analyses, the paper presents a Decision Tree Optimization Algorithm by means of Genetic Algorithm, the Algorithm which is conducted first by attribute optimization then by realizing the classification accuracy and simplified rules balance of the Decision Tree.
【CateGory Index】: TP18
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