A novel technique of privacy preserving association rule mining
Rana Saad Mohammed, Enas Mohammed Hussien, Jinan Redha Mutar · 2016
Privacy Preserving Association Rule Mining (PPAM) becomes an important issue in recent years. Since data mining alone is not enough to share data between companies without privacy preserving. In this paper, a new technique has been proposed to maintain the confidentiality of the data by fabricating of association rule using a stochastic standard map without returning to mining sensitive data again. The system simulation using Matlab and tested that shows the successful difference between the original data and fabricated. And also been achieved high speed and fewer memory requirements.