摘要
在数据挖掘的相关问题和算法中,分类算法是重要的组成部分,而决策树归纳算法又是分类算法中重要的部分,ID3算法就是其中典型的一个基于分类函数逼近的算法。文章讨论ID3算法的实践应用并针对其表现出来的不足进行分析改进,运用改进的算法研究大学生自身素质与入党积极性、入党动机之间是否存在一定的联系,为高校党员发展的评判体系、考核标准提供一种新思路,实验结果表明,改进后的算法表现更佳。
The ID3 algorithm, based on continuous approaching classification function, is a typical one of the decision tree algorithms, which are important parts of classification algorithms in data mining. This paper describes the application of the gain ratio calculation method based ID3. Focusing on its deficiency, the paper improved and applied it to reveal the relations between students’ abilities and their attitude towards joining CPC, providing a new idea for its assessment standard.The experiment results show that optimized algorithm usually performs better.
作者
张波
ZHANG Bo(South West University Institute of Trade and Business,Chongqing 402460,China)
出处
《电脑与信息技术》
2019年第2期41-44,共4页
Computer and Information Technology
关键词
ID3算法
决策树
相关系数
数据挖掘
影响因素
党员发展
质量
考核标准
ID3 algorithm
decision-tree
correlation coefficient
data mining
influencing factors
CPC member recruitment
Quality
Assessment Standard
