| 浅析信息理论在决策树分类算法ID3中的应用 |
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| 引用本文： | 王帅,郑月锋. 浅析信息理论在决策树分类算法ID3中的应用[J]. 吉林工程技术师范学院学报, 2008, 24(12): 91-93 |
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| 作者姓名： | 王帅 郑月锋 |
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| 作者单位： | 吉林师范大学,吉林省高等学校师资培训中心,吉林,四平,136000;吉林师范大学,吉林省高等学校师资培训中心,吉林,四平,136000 |
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| 摘 要： | 分类是数据挖掘的重要内容之一，其中决策树分类法在海量数据环境中应用最为广泛，本文论述了决策树分类法ID3算法中的信息熵及其增益原理，并总结了ID3算法引进信息理论后的优点。
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| 关 键 词： | 决策树 ID3 信息增益 |
Analysis of the Theoretical of Information Used in Decision Tree Classifiers ID3 |
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| WANG Shuai,ZHENG Yue-feng. Analysis of the Theoretical of Information Used in Decision Tree Classifiers ID3[J]. Journal of Jilin Teachers Institute of Engineering and Technology(Natural Sciences Edition), 2008, 24(12): 91-93 |
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| Authors: | WANG Shuai ZHENG Yue-feng |
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| Affiliation: | WANG ShuN, ZHENG Yue -feng (Jilin Province Higher School Training of Trainer center ,Jilin Normal University, Siping Jilin 136000, China) |
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| Abstract: | Classification is an important problem in data mining,decision tree classifiers have found the widest applicability in large-scale data mining environments.This paper analyzes Entropy and information gain in decision tree ID3 method,advantages after the introduction of information theory are summarized. |
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| Keywords: | ID3 |
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