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PRIVACY PRESERVATION TECHNIQUES IN DATA MINING
2013
International Journal of Research in Engineering and Technology
In this paper different privacy preservation techniques are compared. Classification is the most commonly applied data mining technique, which employs a set of pre-classified examples to develop a model that can classify the population of records at large. Fraud detection and credit risk applications are particularly well suited to this type of analysis. This approach frequently employs decision tree or neural network-based classification algorithms. The data classification process involves
doi:10.15623/ijret.2013.0204022
fatcat:vignvniucvgmxf62xtrveogqt4