计算机工程2011，Vol.37Issue(11)：59-61,3.DOI:10.3969/j.issn.1000.3842.2011.11.020
基于影响度的隐私保护关联规则挖掘算法
Privacy Preserving Association Rule Mining Algorithm Based on Influence Measure
摘要
Abstract
This paper introduces the idea ofT-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％.关键词
隐私保护/关联规则/影响度/数据挖掘/敏感规则Key words
privacy preserving/ association rule/ influence measure/ data mining/ sensitive rule分类
信息技术与安全科学引用本文复制引用
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):59-61,3.基金项目
国家星火计划基金资助项目(2007EA780068) （2007EA780068）
广东省自然科学基金资助项目(7010116) （7010116）
广东省科技计划基金资助项目(2010B020315025) （2010B020315025）
湛江市科技计划基金资助项目(2010C3113011) （2010C3113011）
