• DocumentCode
    2060842
  • Title

    Multi-table association rules hiding

  • Author

    Wang, Shyue-Liang ; Hong, Tzung-Pei ; Tsai, Yu-Chuan ; Kao, Hung-Yu

  • Author_Institution
    Dept. of Inf. Manage., Nat. Univ. of Kaohsiung, Kaohsiung, Taiwan
  • fYear
    2010
  • fDate
    Nov. 29 2010-Dec. 1 2010
  • Firstpage
    1298
  • Lastpage
    1302
  • Abstract
    Many approaches for preserving association rule privacy, such as association rule mining outsourcing, association rule hiding, and anonymity, have been proposed. In particular, association rule hiding on single transaction table has been well studied. However, hiding multi-relational association rule in data warehouses is not yet investigated. This work presents a novel algorithm to hide predictive association rules on multiple tables. Given a target predictive item, a technique is proposed to hide multi-relational association rules containing the target item without joining the multiple tables. Examples and analyses are given to demonstrate the efficiency of the approach.
  • Keywords
    data encapsulation; data mining; data privacy; data warehouses; multitable association rules hiding; privacy; single transaction table; association rule; data mining; hiding; multi-relational; privacy preserving;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems Design and Applications (ISDA), 2010 10th International Conference on
  • Conference_Location
    Cairo
  • Print_ISBN
    978-1-4244-8134-7
  • Type

    conf

  • DOI
    10.1109/ISDA.2010.5687088
  • Filename
    5687088