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OALib Journal期刊
ISSN: 2333-9721
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Methods and Techniques to Protect the Privacy Information in Privacy Preservation Data Mining

Keywords: Privacy , Security , Accuracy , Privacy Data Mining , k-Anonymity model and l-diversity , Randomization , Secure Multiparty , Computation

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Abstract:

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

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