文章基本信息

标题：Methods and Techniques to Protect the Privacy Information in Privacy Preservation Data Mining
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作者：N.Punitha ; R.Amsaveni
期刊名称：International Journal of Computer Technology and Applications
电子版ISSN：2229-6093
出版年度：2011
卷号：2
期号：6
页码：2091-2097
出版社：Technopark Publications
摘要：Due to the explosive development of Internet browser’s can extract desired data from large amount of database. Data mining is a collection of technique helps the miner can retrieve exact knowledge from it. Privacy Preservation has been one of the greater concerns in data mining; there are many methods and techniques for privacy Preservation data mining. This paper discussed very keen points of various Privacy Preservation data mining algorithms and analyzing techniques and concludes the advantages and disadvantages, and a way to direct the problems
关键词：Privacy; Security; Accuracy; Privacy Data Mining; k-Anonymity model and l-diversity; Randomization; Secure Multiparty; Computation