• DocumentCode
    3260728
  • Title

    An Approach to Outsourcing Data Mining Tasks while Protecting Business Intelligence and Customer Privacy

  • Author

    Qiu, Ling ; Li, Yingjiu ; Wu, Xintao

  • Author_Institution
    Sch. of Math., Phys. & IT, James Cook Univ., Townsville, Qld.
  • fYear
    2006
  • fDate
    Dec. 2006
  • Firstpage
    551
  • Lastpage
    558
  • Abstract
    Data mining is playing an important role in decision making. It is beneficial to outsource data mining tasks if an organization does not have required expertise in-house. However, the organization may lose business intelligence and customer privacy during this outsourcing process. In this paper, we present a Bloom filter based solution to enable organizations to outsource their tasks of mining association rules while protecting their business intelligence and customer privacy. Our approach can achieve high precision in data mining by trading-off storage requirements
  • Keywords
    competitive intelligence; data mining; data privacy; outsourcing; Bloom filter; business intelligence; customer privacy; data mining; data protection; Association rules; Data mining; Data privacy; Decision making; Filters; Itemsets; Mathematics; Outsourcing; Physics; Protection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Mining Workshops, 2006. ICDM Workshops 2006. Sixth IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    0-7695-2702-7
  • Type

    conf

  • DOI
    10.1109/ICDMW.2006.26
  • Filename
    4063688