| 决策树算法中属性缺失值的研究 |
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| 引用本文： | 巩固,张虹.决策树算法中属性缺失值的研究[J].计算机应用与软件,2008,25(9). |
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| 作者姓名： | 巩固 张虹 |
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| 作者单位： | 1. 中国矿业大学计算机科学与技术学院,江苏,徐州,221008;徐州师范大学计算机科学与技术学院,江苏,徐州,221116
2. 中国矿业大学计算机科学与技术学院,江苏,徐州,221008 |
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| 摘 要： | 如何解决在创建决策树时出现缺失值是决策树算法在规则提取方面的一个重要难题.讨论了决策树分类算法的基本原理后,对于数据集的数据不完整进行了分析,并给出了缺失值的具体解决方法.在创建决策树的过程中对缺失值进行填充时提出了填充缺失值的解决算法.
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| 关 键 词： | 决策树 分类算法 熵 缺失值 数据填充 |
RESEARCH ON MISSING DATA FOR DECISION TREE ALGORITHM |
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| Gong Gu,Zhang Hong.RESEARCH ON MISSING DATA FOR DECISION TREE ALGORITHM[J].Computer Applications and Software,2008,25(9). |
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| Authors: | Gong Gu Zhang Hong |
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| Affiliation: | Gong Gu1,2 Zhang Hong11(College of Computer Science , Technology,China University of Mining , Technology,Xuzhou 221008,Jiangsu,China) 2(College of Computer Science , Technology,Xuzhou Normal University,Xuzhou 221116,China) |
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| Abstract: | How to solve the problem of missing data in building a decision tree is a difficult issue of decision tree algorithm in rule extraction.The basic principles of the decision tree classification algorithm are discussed,and a given incomplete database is analyzed.The solution to the problem of missing data is put forward and a solution algorithm of missing data filling is adwanced. |
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| Keywords: | Decision tree Classification algorithm Entropy Missing data Data filling |
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