隐私保护关联规则挖掘研究综述

Pingshui Wang
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引用次数: 8

摘要

关联规则挖掘是研究从大量数据中自动提取先前未知的模式或规则的热门研究领域之一。最近,人们越来越关注关联规则挖掘对隐私的影响。阐述了关联规则挖掘相关的基本概念,分析总结了保护隐私的关联规则挖掘的一般原理和方法,并指出了这些方法的不足。介绍了一种衡量隐私保护过程中副作用的有效指标。最后对目前存在的问题和今后的研究方向进行了讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on privacy preserving association rule mining a survey
Association rule mining is one of the hottest research areas that investigate the automatic extraction of previously unknown patterns or rules from large amounts of data. Recently, there has been growing concern over the privacy implications of association rule mining. This paper described the basic concepts related to association rule mining, and analyzed and summarized the general principles and methods of privacy preserving association rule mining, and pointed out the drawback of the these methods. It also introduced an effective metrics for measuring side-effects resulted from privacy preserving process. Finally the present problems and directions for future research are discussed.
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