| 一种改进的决策树学习算法 |
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| 引用本文： | 李瑞,魏现梅.一种改进的决策树学习算法[J].科学技术与工程,2009,9(20). |
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| 作者姓名： | 李瑞 魏现梅 |
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| 作者单位： | 大连交通大学软件学院,大连,116028 |
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| 摘 要： | 为提高C4.5算法的准确率引进一个平衡度系数,其大小由决策者依靠先验知识或领域知识确定,在特定环境下人工协调了各属性信息增益率,用改进后的算法构造出的决策树进行分类更为准确、合理.并通过实例分析对改进前后的算法进行了比较,证明改进算法的有效性.
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| 关 键 词： | 数据分类 决策树 C4.5算法 平衡度系数 |
| 收稿时间： | 7/4/2009 5:22:26 PM |
| 修稿时间： | 2009/7/18 0:00:00 |
An Improved decision tree learning Algorithm |
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| Li Rui and Wei Xian-mei.An Improved decision tree learning Algorithm[J].Science Technology and Engineering,2009,9(20). |
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| Authors: | Li Rui and Wei Xian-mei |
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| Institution: | Dalian Jiaotong University |
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| Abstract: | The paper introduces a balanced coefficient to improve the veracity of C4.5 algorithm. It can be fixed by decision maker according to priori intellectual and domain intellectual. It harmonized the information gain-ratio of each attributes artificially in specific environment. The classification is more veracious and rational by the decision tree made from the improved algorithm. And compared the improved algorithm to C4.5 algorithm by analyzing examples, to prove the efficiency of the improved algorithm. |
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| Keywords: | classification of datas1 decision tree2 C4 5 algorithm3 degree of balance coefficient4 |
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