• DocumentCode
    2547636
  • Title

    Research on privacy preserving association rule mining a survey

  • Author

    Wang, Pingshui

  • Author_Institution
    Coll. of Inf. Eng., Anhui Univ. of Finance & Econ., Bengbu, China
  • fYear
    2010
  • fDate
    16-18 April 2010
  • Firstpage
    194
  • Lastpage
    198
  • 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.
  • Keywords
    data mining; data privacy; association rule mining; privacy preserving process; side-effect measurement; Association rules; Data engineering; Data mining; Data privacy; Educational institutions; Electronic mail; Explosives; Finance; Itemsets; Transaction databases; association rule mining; privacy preserving; randomization; secure multi-party computation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-5263-7
  • Electronic_ISBN
    978-1-4244-5265-1
  • Type

    conf

  • DOI
    10.1109/ICIME.2010.5477792
  • Filename
    5477792