A Survey Paper Of Different Techniques For Privacy Preserving Data Mining

Computer Engineering

Nowadays Data Mining has many privacy challenges when transforming data from database or data warehouse to the users. Because of publishing large amount of data everyday there is high risk of data loss and this losses of data sometimes create high risk for users for their sensitive data. Data mining comes with lots of techniques which are very necessary for privacy preserving. For preserve the privacy in data mining efficiency, Time, Cost, Accuracy are very necessary parameters. For obtain high privacy users have to compromise accuracy, time and cost. In this paper we studied many techniques in the direction of privacy preserving in data mining(PPDM) and after that describe the disadvantages of different techniques in privacy preserving in data mining.

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