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决策树C4.5算法的改进与分析

安葳鹏 尚家泽

计算机工程与应用2019,Vol.55Issue(12):169-173,5.
计算机工程与应用2019,Vol.55Issue(12):169-173,5.DOI:10.3778/j.issn.1002-8331.1805-0482

决策树C4.5算法的改进与分析

Improvement and Analysis of C4.5 Decision Tree Algorithm

安葳鹏 1尚家泽1

作者信息

  • 1. 河南理工大学 计算机科学与技术学院,河南 焦作 454000
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摘要

Abstract

When choosing splitting attributes, C4.5 algorithm only takes the attribute relationship between every prerequi-site and decision instead of correlation among condition attributes, which influences the accuracy of the construction tree directly. An optimized algorithm, C4.5 decision making tree, based on Kendall harmony coefficient, is proposed to solve the correlation among condition attributes and improve the selection accuracy of algorithm attribute. The equivalent infini-tesimal is used to simplify the calculation formula on the basis of introducing the coefficient, which improves efficiency of the algorithm. Simulation on the improved C4.5 and the traditional algorithm shows that the former one has more accu-racy and efficiency.

关键词

C4.5算法/Kendall和谐系数/决策树

Key words

C4.5 algorithm/ Kendall’s coefficient of concordance/ decision tree

分类

信息技术与安全科学

引用本文复制引用

安葳鹏,尚家泽..决策树C4.5算法的改进与分析[J].计算机工程与应用,2019,55(12):169-173,5.

基金项目

河南省教育厅应用研究计划(No.16A520052). (No.16A520052)

计算机工程与应用

OA北大核心CSCDCSTPCD

1002-8331

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