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.

作者: Kun Guo Qishan Zhang

作者单位: Faculty of College of Mathematics and Computer Science,Fuzhou University,Fuzhou Fujian 350108,P.R. School of Management,Fuzhou UniversityFuzhou Fujian 350108,P.R.

会议类型: 国际会议

会议名称: 2011 IEEE International Conference on Grey System and Intelligent Services Joint with the 15th WOSC International Congress on Cybernetics and System(2011 IEEE灰色系统与智能服务国际会议暨系统与控制世界组织第15届年会)

会议地点: 南京

会议语种:英文

页码: 355-359

在线出版日期: 2011-09-15（万方平台首次上网日期，不代表论文的发表时间）