Chapter

Data Mining

pp 663-693

Date:

Privacy-Preserving Data Mining

  • Charu C. AggarwalAffiliated withIBM T.J. Watson Research Center Email author 

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Abstract

A significant amount of application data is of a personal nature. These kind of data sets may contain sensitive information about an individual, such as his or her financial status, political beliefs, sexual orientation, and medical history. The knowledge about such personal information can compromise the privacy of individuals. Therefore, it is crucial to design data collection, dissemination, and mining techniques, so that individuals are assured of their privacy.