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改进的C4.5算法的研究与应用

赵建民 黄珊 王梅 刘澎

计算机与数字工程2019,Vol.47Issue(2):261-265,5.
计算机与数字工程2019,Vol.47Issue(2):261-265,5.DOI:10.3969/j.issn.1672-9722.2019.02.001

改进的C4.5算法的研究与应用

Research and Application of Improved C4.5 Algorithm

赵建民 1黄珊 1王梅 1刘澎1

作者信息

  • 1. 东北石油大学计算机与信息技术学院 大庆 163318
  • 折叠

摘要

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.

关键词

C4.5算法/决策树/涉案人特征/数据挖掘

Key words

C4.5 algorithm/decision tree/characteristics of the person involved in the case/data mining

分类

信息技术与安全科学

引用本文复制引用

赵建民,黄珊,王梅,刘澎..改进的C4.5算法的研究与应用[J].计算机与数字工程,2019,47(2):261-265,5.

基金项目

国家自然科学基金项目"致密油储层孔隙结构跨尺度多源融合及重构"(编号:51774090)资助. (编号:51774090)

计算机与数字工程

OACSTPCD

1672-9722

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