一种简单的基于隐私保护的关联规则挖掘方法

Simple method on privacy preserving in association rules mining

为了提高对隐私数据的保护程度和挖掘结果的准确性,提出一种有效的隐私保护关联规则挖掘方法。针对关联规则挖掘中需预先给出最小支持度和最小置信度这一条件,提出了一种简单的事务数据库中事务的处理方法,即隐藏那些包含敏感项目的关联规则的方法,对相关事务作处理,达到隐藏包含敏感项目的关联规则的目的。理论分析和实验结果均表明,基于事务处理的隐私保护关联规则挖掘方法具有很好的隐私性、简单性和适用性。

In order to raise the level of protection of data privacy and the accuracy of mining results,we propose an effective privacy preserving method.The minimum support and confidence should be given in associations mining,against this,a simple transactions handling method has been given.We can hide the associations which contain sensitive items by the way of dealing with transactions.Theoretical analysis and experimental results show that this method based on transaction processing has good privacy, simplicity and applicability.