ABSTRACT
Privacy-preserving data mining has been considered widely because of the wide propagation of sensitive information over internet. A number of algorithmic techniques have been designed for privacy-preserving data mining that includes the state-of-the-art method. Privacy preserving data mining has become progressively popular because it allows sharing of confidential sensitive data for analysis purposes. It is important to maintain a ratio between privacy protection and knowledge discovery. To solve such problems many algorithms are proposed by various authors across the world. The main objective of this paper is to study various Privacy preserving data mining techniques and algorithms used for mining the item sets.
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