| 基于决策树的ID3算法和C4．5算法的比较 |
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| 引用本文： | 苗红星,余建坤.基于决策树的ID3算法和C4．5算法的比较[J].电脑与微电子技术,2014(10):7-10,14. |
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| 作者姓名： | 苗红星 余建坤 |
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| 作者单位： | [1]云南财经大学信息学院计算机系,昆明650000 [2]云南财经大学信息学院,昆明650000 |
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| 摘 要： | 阐明决策树分类器在用于分类的数据挖掘技术中依然重要，论述基于决策树归纳分类的ID3、C4．5算法，并且对决策属性的选取法则进行说明。通过实例解析ID3、C4．5算法实现过程，结果表明C4．5算法相比较于ID3算法的优越性．尤其在处理具有多属性值的数据时的更加合理和正确。
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| 关 键 词： | 数据挖掘 决策树 ID3算法 C4 5算法 |
The Comparisons Between ID3 and C4.5 Algorithm Based on Decision Tree |
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| Authors: | MIAO Hong-xing YU Jian-kun |
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| Affiliation: | 1. Institute of Computer, Infomation College, Yunnan University of Finance and Economicas, Kunming 650000 ; 2. Infomation College, Yunnan University of Finance and Economicas,Kunming 650000) |
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| Abstract: | Illustrates the decision tree classifier which is still important in data mining techniques for classifying, and discusses the algorithm of ID3 and C4.5 in decision tree inductive classification, and states that how to choose the decision attributes. Analyzes the algorithm implementation by instance, results that the algorithm of C4.5 has many advantages compared with the algorithm of ID3, especially it is more correct and reasonable on dealing with the data that have many attribute. |
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| Keywords: | Data Mining Decision Tree ID3 Algorithm C4 5 Algorithm |
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