Advance privacy preserving in association rule mining

Abstract

Data mining is the process of getting knowledge from large database. In data mining, very important topics in research community is Privacy preserving data mining (PPDM). Privacy preserving in data mining has become more popular because it allows privacy of sharing sensitive data to others for analysis purposes. It is essential to maintain a ratio between privacy protection and knowledge discovery. Solving such problems there are some algorithms which are presented by various authors worldwide. The agenda of this paper is to understand the more techniques for privacy preserving through literature survey and new algorithm named ADSRRC is described. By this algorithm, We can overcome some limits of DSRRC algorithm. Proposed algorithm hides automatically sensitive rules and give sanitized databse.