Privacy Preserving Method based on GM(1,1) and its Application to Data Clustering

摘要

Protecting the users' privacy while mining information from massive data has become a popular research topic in recent years.Perturbation and reconstruction are two common technologies in implementing privacy preserving data mining.In this paper, a novel perturbation method based on GM(1,1) model is proposed and applied to data clustering.The effectiveness and efficiency of the proposed method is demonstrated by the experiments on real-world datasets.