Association rule mining algorithm based on privacy preserving

Abstract

The goal of privacy preserving association rule is to find an approach of the original data set, making the relevant sensitive rules not to be found in a process of data mining. In order to efficiently achieve privacy preserving, this paper proposes an effective method for privacy preserving association rule. Trough the way of combining the basic strategies of PPARM algorithm and IMBA which are improved, making less-sensitive operations, a greater degree of hiding can be made while a less degree impact for the non-sensitive rules can be made too. Theoretical and experimental results show that the algorithm is highly efficient, and can ensure the privacy preserving better.