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On the comparison of some fuzzy clustering methods for privacy preserving data mining: Towards the development of specific information loss measures

Vicenç TorraYasunori EndoSadaaki Miyamoto — 2009

Kybernetika

Policy makers and researchers require raw data collected from agencies and companies for their analysis. Nevertheless, any transmission of data to third parties should satisfy some privacy requirements in order to avoid the disclosure of sensitive information. The areas of privacy preserving data mining and statistical disclosure control develop mechanisms for ensuring data privacy. Masking methods are one of such mechanisms. With them, third parties can do computations with a limited risk of disclosure....

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