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Privacy preserving method based on GM(1,1) and its application to data clustering

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2 Author(s)
Kun Guo ; Fac. of Coll. of Math. & Comput. Sci., Fuzhou Univ., Fuzhou, China ; Qishan Zhang

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.

Published in:

Grey Systems and Intelligent Services (GSIS), 2011 IEEE International Conference on

Date of Conference:

15-18 Sept. 2011