文章基本信息

标题：Privacy Preserving Clustering Based on Discrete Cosine Transformation
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作者：M. NAGA LAKSHMI ; K SANDHYA RANI
期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2013
卷号：2
期号：9
页码：4398
出版社：S&S Publications
摘要：The information related to an individual or an organization could be compromised when the patterns extracted from large databases through data mining technology. Privacy preserving data mining which is a new research area has been evolved in order to find the right balance between maximizing analysis results and minimizing the disclosure of private information. In this paper, a Discrete Cosine Transformation (DCT) based data distortion method is proposed for privacy preserving clustering in centralized database environment. The experimental results proved that the proposed method efficiently protects the private data of individuals and retains the impo rtant information for clustering analysis.
关键词：Discrete Cosine Transformation; Data distortion; Privacy Preservation; Clustering