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一种改进 ID3型决策树挖掘算法

潘大胜 屈迟文

华侨大学学报(自然科学版)Issue(1):71-73,3.
华侨大学学报(自然科学版)Issue(1):71-73,3.DOI:10.11830/ISSN.1000-5013.2016.01.0071

一种改进 ID3型决策树挖掘算法

An Improved ID3 Decision Tree Mining Algorithm

潘大胜 1屈迟文1

作者信息

  • 1. 百色学院 信息工程学院,广西 百色 533000
  • 折叠

摘要

Abstract

By analyzing the problem of ID3 decision tree mining algorithm,the entropy calculation process is improved, and a kind of improved ID3 decision tree mining algorithm is built.Entropy calculation process of decision tree is rede-signed in order to obtain global optimal mining results.The mining experiments are carried out on the UCI data category 6 data set.Experimental results show that the improved mining algorithm is much better than the ID3 type decision tree mining algorithm in the compact degree and the accuracy of the decision tree construction.

关键词

数据挖掘/ID3型决策树/熵值计算/UCI数据集

Key words

data mining/ID3 decision tree/entropy calculation/UCI data set

分类

信息技术与安全科学

引用本文复制引用

潘大胜,屈迟文..一种改进 ID3型决策树挖掘算法[J].华侨大学学报(自然科学版),2016,(1):71-73,3.

基金项目

广西自然科学基金青年基金资助项目 ()

华侨大学学报(自然科学版)

OA北大核心CSTPCD

1000-5013

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