| 基于影响度的隐私保护关联规则挖掘算法 |
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| 引用本文： | 徐龙琴,刘双印.基于影响度的隐私保护关联规则挖掘算法[J].计算机工程,2011,37(11):59-61. |
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| 作者姓名： | 徐龙琴 刘双印 |
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| 作者单位： | 1. 广东海洋大学信息学院,广东,湛江,524025
2. 广东海洋大学信息学院,广东,湛江,524025;中国农业大学信息与电气工程学院,北京,100083 |
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| 基金项目： | 国家星火计划基金，广东省自然科学基金，广东省科技计划基金，湛江市科技计划基金 |
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| 摘 要： | 将T检验思想引入隐私保护数据挖掘算法,提出基于影响度的隐私保护关联规则挖掘算法.将影响度作为关联规则生成准则,以减少冗余规则和不相关规则,提高挖掘效率;通过调整事务间敏感关联规则的项目,实现敏感规则隐藏.实验结果表明,该算法能使规则损失率和增加率降低到6%以下.
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| 关 键 词： | 隐私保护 关联规则 影响度 数据挖掘 敏感规则 |
| 收稿时间： | 2011-01-29 |
Privacy Preserving Association Rule Mining Algorithm Based on Influence Measure |
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| XU Long-qin,LIU Shuang-yin.Privacy Preserving Association Rule Mining Algorithm Based on Influence Measure[J].Computer Engineering,2011,37(11):59-61. |
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| Authors: | XU Long-qin LIU Shuang-yin |
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| Affiliation: | 1,2(1.College of Information,Guangdong Ocean University,Zhanjiang 524025,China;2.College of Information and Electrical Engineering,China Agricultural University,Beijing 100083,China) |
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| Abstract: | This paper introduces the idea of T-testing into privacy preserving data mining algorithms,proposes privacy preserving association rule mining algorithm based on influence measure.Considering influence measure as association rules generated as a criterion is to reduce the redundant rules and irrelevant rules so as to improve the efficiency of mining.Sensitive rules can be hided by adjusting the transaction association rules between the sensitive rule hiding sensitive items to achieve.Experimental results shows that,the algorithm makes the rules for side effects such as loss rate and the rate of decrease to as low as 6%. |
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| Keywords: | privacy preserving association rule influence measure data mining sensitive rule |
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