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 sideeffects resulted from privacy preserving process. Finally the present problems and directions for future research are discussed.
privacy preserving association rule mining randomization secure multi-party computation
Pingshui WANG
College of Information Engineering Anhui University of Finance & Economics Bengbu, China
国际会议
成都
英文
1-5
2010-04-16（万方平台首次上网日期，不代表论文的发表时间）