| 基于概率统计的正负关联规则挖掘算法 |
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| 引用本文： | 杜跃,王治和,张旭.基于概率统计的正负关联规则挖掘算法[J].佳木斯大学学报,2007,25(3):327-329. |
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| 作者姓名： | 杜跃 王治和 张旭 |
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| 作者单位： | 西北师范大学数学与信息科学学院,甘肃兰州730070 |
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| 摘 要： | 正关联规则与负关联规则有着同样重要的作用,而传统的关联规则算法只能挖掘正关联规则.本文对关联规则的相关度进行判断,并在此基础上提出了一个能同时挖掘正负关联规则的算法,实验证明改进算法是有效的.
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| 关 键 词： | 关联规则 关联度 支持度 置信度 概率统计 概率统计 负关联规则 规则挖掘算法 Mathematical Statistics Probability Based Negative Association Rules Positive 改进算法 验证 判断 相关度 关联规则算法 作用 |
| 文章编号： | 1008-1402（2007）03-0327-03 |
| 收稿时间： | 2007-03-02 |
| 修稿时间： | 2007-03-02 |
An Algorithm for Discovering Positive and Negative Association Rules Based on Probability and Mathematical Statistics |
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| DU Yue,WANG Zhi-he,ZHANG Xu.An Algorithm for Discovering Positive and Negative Association Rules Based on Probability and Mathematical Statistics[J].Journal of Jiamusi University(Natural Science Edition),2007,25(3):327-329. |
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| Authors: | DU Yue WANG Zhi-he ZHANG Xu |
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| Institution: | College of Mathematics and Information Science, Northwest Normal University, Lanzhou 730070, China |
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| Abstract: | Positive Rules play the same important role as Negative Association Rules, but traditional algorithms can only discover the positive association rules. This paper checks the correlation of association rules and an algorithm is proposed to discover both positive and negative association rules. Experiment results demonstrate that the new algorithm is efficient. |
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| Keywords: | association rules relevancy support confidence probability and mathematical statistics |
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