• DocumentCode
    1180363
  • Title

    Privacy-preserving data mining: why, how, and when

  • Author

    Vaidya, Jaideep ; Clifton, Chris

  • Volume
    2
  • Issue
    6
  • fYear
    2004
  • Firstpage
    19
  • Lastpage
    27
  • Abstract
    Data mining is under attack from privacy advocates because of a misunderstanding about what it actually is and a valid concern about how it is generally done. This article shows how technology from the security community can change data mining for the better, providing all its benefits while still maintaining privacy.
  • Keywords
    data mining; data privacy; data mining; privacy; security community can change; Computer security; Data analysis; Data mining; Data privacy; Data security; Electronic design automation and methodology; Information analysis; Information security; Predictive models; Protection; 65; data mining; privacy;
  • fLanguage
    English
  • Journal_Title
    Security & Privacy, IEEE
  • Publisher
    ieee
  • ISSN
    1540-7993
  • Type

    jour

  • DOI
    10.1109/MSP.2004.108
  • Filename
    1366115
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1180363