Defining Privacy for Data Mining

نویسندگان

  • Chris Clifton
  • Murat Kantarcioglu
  • Jaideep Vaidya
چکیده

Privacy preserving data mining – getting valid data mining results without learning the underlying data values – has been receiving attention in the research community and beyond. It is unclear what privacy preserving means. This paper provides a framework and metrics for discussing the meaning of privacy preserving data mining, as a foundation for further research in this field.

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تاریخ انتشار 2002