• DocumentCode
    2900281
  • Title

    Privacy Parallel Algorithm for Mining Association Rules and its Application in HRM

  • Author

    Zhang, Xueping ; Zhu, Yanxia ; Hua, Nan

  • Author_Institution
    Coll. of Inf. Sci. & Eng., Henan Univ. of Technol., Zhengzhou, China
  • Volume
    2
  • fYear
    2009
  • fDate
    12-14 Dec. 2009
  • Firstpage
    296
  • Lastpage
    299
  • Abstract
    Parallel association rules mining has been improved the efficiency of data mining, and meanwhile concerned with the privacy preserving problem. A simple and effective method of parallel association rules mining which based on privacy protection----parallel association rules mining algorithm with privacy preserving (PARMA-P) has been introduced in this paper. It could achieve effective concealment of frequent item-set and then the association rules by the means of using imported hash assignment strategy in frequent item sets of FP sub tree could be protected. It has been used in HRM of an enterprise and experiments show that the algorithm can be simple and effective in protection of data privacy.
  • Keywords
    data mining; data privacy; file organisation; human resource management; parallel algorithms; HRM; data mining; data privacy; hash assignment strategy; parallel association rules mining algorithm; privacy parallel algorithm; privacy preserving problem; privacy protection method; Association rules; Computational intelligence; Data mining; Data privacy; Educational technology; Human resource management; Information science; Parallel algorithms; Protection; Space technology; FP-tree; Hash assignment strategy; data mining; privacy preserving; rules mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Design, 2009. ISCID '09. Second International Symposium on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-0-7695-3865-5
  • Type

    conf

  • DOI
    10.1109/ISCID.2009.220
  • Filename
    5368463