Analysis of Methodologies for Hiding Sensitive Frequent Itemsets using Border Based Approach

Abstract

Data mining is a technique that blends traditional data analysis methods with modern sophisticated algorithms for processing large amount of data. However, misuse of this technique may lead to disclosure of sensitive information. Privacy preserving data mining is the new effort in the screening of sensitive information. Association rule hiding methodologies aim at sanitising the original database in a way that now rule can be mined from the original database. This paper contains a survey of various sensitive information hiding methodologies.

Keywords: Data Mining, PPDM, Support , Confidence, Association rule hiding, sensitive information hiding.