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• W2184071978 abstract "Extracting previously unknown patterns from massive volume of data is the main objective of any data mining algorithm. In current days there is a tremendous expansion in data collection due to the development in the field of information technology. The patterns revealed by data mining algorithm can be used in various domains like Image Analysis, Marketing and weather forecasting. As a side effect of the mining algorithm some sensitive information is also revealed. There is a need to preserve the privacy of individuals which can be achieved by using privacy preserving data mining. In this paper, fuzzy based data transformation methods are proposed for privacy preserving clustering in database environment. In case one, a fuzzy data transformation method is proposed and various experiments are conducted by varying the fuzzy membership functions such as Z-shaped fuzzy membership function, Triangular fuzzy membership function, Gaussian fuzzy membership function to transform the original dataset. In case two, a hybrid method is proposed as a combination of fuzzy data transformation approach specified in case one and Random Rotation Perturbation (RRP). The experimental results proved that the proposed hybrid method yields good results for all the member functions which are used in case one." @default.
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• W2184071978 date "2014-01-01" @default.
• W2184071978 modified "2023-09-27" @default.
• W2184071978 title "A FUZZY BASED APPROACH FOR PRIVACY PRESERVING CLUSTERING" @default.
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