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Fuzzy membership functions in privacy preserving data mining

Author:

Selva Rathna and Dr. Karthikeyan, T.

Subject Area:

Physical Sciences and Engineering

Abstract:

The aim of this paper is to identify the impact of the fuzzy based privacy preserving method for protecting sensitive data in Privacy preserving data mining. Fuzzy based member ship functions like Bell shape, S- Shape and PI shape member ship functions are applied on standard database to generate sanitised database. Further, Popular K-mean Clustering algorithm of data mining is applied on the sanitised database and the results are compared. WEKA tool is used for testing data mining algorithm on privacy preserved database generated using various fuzzy member ship function. This analysis will help to develop new Fuzzy Based privacy preserving techniques which can be applied for Privacy preserved data mining.

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