| 关联规则的鲁棒性分析与应用 |
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| 引用本文： | 李光军,黄睿春,陈刚. 关联规则的鲁棒性分析与应用[J]. 计算机工程与应用, 2009, 45(7): 178-180. DOI: 10.3778/j.issn.1002-8331.2009.07.053 |
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| 作者姓名： | 李光军 黄睿春 陈刚 |
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| 作者单位： | 武汉体育学院信息技术系,武汉,430079;武汉大学数学与统计学院,武汉,430072;武汉科技大学计算机学院,武汉,430081 |
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| 摘 要： | 首先对采用支持度、置信度和改善度阈值来选择关联规则的不足进行了分析，然后引入规则的鲁棒性分析，提出了基于lift 条件下的关联规则鲁棒性判断，能够在若干规则中选择出鲁棒性高的规则，提供决策参考，最后给出了实例应用。
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| 关 键 词： | 数据挖掘 奢棒性 改善度 关联规则 |
| 收稿时间： | 2008-05-15 |
| 修稿时间： | 2008-8-15 |
Analysis and application on robustness of association rules |
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| LI Guang-jun,HUANG Rui-chun,CHEN Gang. Analysis and application on robustness of association rules[J]. Computer Engineering and Applications, 2009, 45(7): 178-180. DOI: 10.3778/j.issn.1002-8331.2009.07.053 |
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| Authors: | LI Guang-jun HUANG Rui-chun CHEN Gang |
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| Affiliation: | 1.Department of Information & Technology，Wuhan Institute of Physical Education，Wuhan 430079，China 2.School of Mathematics and Statistic，Wuhan University，Wuhan 430072，China 3.College of Computer Science & Technology，Wuhan University of Science & Technology，Wuhan 430081，China |
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| Abstract: | Some shortages of association rules mining based on support-confidence and lift calculation are analyzed.Then the robustness of association rules are introduced to judge the interestingness of rules.The paper proposes a measure based on the robustness of association rules,which can be used to select high robustness rules for decision aiding.Finally an application is presented. |
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| Keywords: | data mining robustness lift association rules |
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