Research on privacy preserving association rule mining a survey

Abstract

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.