Research and Application of Improved C4.5 Algorithm
ZHAO Jianmin
HUANG Shan
WANG Mei
LIU Peng
Abstract：In view of the research on the construction of the characteristic decision tree method of the existing C4.5 algorithm, it is found that the method has low accuracy,which leads to the lack of convenience in the use of the model. Therefore,in-depth study of the C4.5 algorithm in the process of data mining,this paper proposes an improved algorithm,namely C4.5-W algorithm, the main idea of the algorithm is the C4.5 algorithm in parameter W is introduced,the adjustment measure attribute information gain ratio range,so as to construct the decision tree model to find out the characteristics of people forecast. The experiment shows that the algorithm can effectively improve the accuracy of the predicted person involved in the process of use. Therefore,the C4.5-W algo?rithm can improve the accuracy of the decision tree model.
Keywords：C4.5 algorithmdecision treecharacteristics of the person involved in the casedata mining
Publication Date：2019-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 261-265 )