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ANALYTICAL STUDY ON PRIVACY PRESERVING DATA MINING MODELS AND TECHNIQUES
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Author(s):
DEVENDRA KUMAR
Vol - 2, Issue- 2 ,
Page(s) : 38 - 47
(2012 )
DOI : https://doi.org/10.32804/RJSET
Abstract
Privacy preserving becomes an important issue in the development progress of data mining techniques. Privacy preserving data mining has become increasingly popular because it allows sharing of privacy-sensitive data for analysis purposes. As we know that, there has been an important research area that how to protect private information or sensitive knowledge from leaking in the mining process. Our goal in investigating privacy preservation issues was to take a systemic view of architectural requirements and design principles. This paper describes meaning of data mining, Privacy, Design architecture for privacy preserving, types of privacy preserving, privacy preserving data mining, data distortion, data encryption, and reconstruction techniques in detail.
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