Privacy-Preserving Data Mining Systems

  • Authors:
  • Nan Zhang;Wei Zhao

  • Affiliations:
  • University of Texas at Arlington;Rensselaer Polytechnic Institute

  • Venue:
  • Computer
  • Year:
  • 2007

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Abstract

Although successful in many applications, data mining poses special concerns for private data. An integrated architecture takes a systemic view of the problem, implementing established protocols for data collection, inference control, and information sharing.