The large aggregated data to be extracted is stored on the various servers for the effortless and rapid access. Information retrieval from this huge amount of competent data plays crucial role in data mining. But this excerption leads to harm individual privacy of the users, community, etc. So it is required to provide privacy for the sensitive records from the data miners. This paper focus on various approaches implement by the miners for preserving of information at individual level, class level, etc. A detail description with limitation and strength of different techniques of privacy preserving is explained. This paper explicates different evaluation parameters for the analysis of the preserved dataset.
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