• DocumentCode
    2343959
  • Title

    Association Rule Discovery of Privacy Information

  • Author

    Taghva, Kazem ; Bondugula, Pavankumar ; Gala, Darshana

  • Author_Institution
    Inf. Sci. Res. Inst., Nevada Univ., Las Vegas, NV
  • fYear
    2007
  • fDate
    2-4 April 2007
  • Firstpage
    361
  • Lastpage
    365
  • Abstract
    An association rule expresses the dependence of a set of attributes on other attributes. An apriori algorithm is one of the known techniques that is used in the identification of association rules. In this paper, we report on our experiments using this technique for privacy data identification and extraction from printed documents
  • Keywords
    data mining; data privacy; apriori algorithm; association rule discovery; data privacy identification; information privacy; Association rules; Bonding; Data mining; Data privacy; Image databases; Information science; Itemsets; Optical character recognition software; Protection; Relational databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology, 2007. ITNG '07. Fourth International Conference on
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    0-7695-2776-0
  • Type

    conf

  • DOI
    10.1109/ITNG.2007.41
  • Filename
    4151710