IJBTT

An Empirical Study on Privacy Preserving Data Mining

	International Journal of Engineering Trends and Technology (IJETT)
	© 2012 by IJETT Journal
	Volume-3 Issue-6
	Year of Publication : 2012
	Authors :  Md.Riyazuddin , Dr.V.V.S.S.S.Balaram , Md.Afroze , Md.JaffarSadiq , M.D.Zuber

Citation 

Md. Riyazuddin , Dr.V.V.S.S.S.Balaram , Md.Afroze , Md.JaffarSadiq , M.D.Zuber. "An Empirical Study on Privacy Preserving Data Mining". International Journal of Engineering Trends and Technology (IJETT). V3(6):687-693 Nov-Dec 2012. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract

In modern years, advances in hardware expertise have lead to an increase in the competence to store and record personal data about consumers and individuals. This has lead to concerns that the personal data may be misused for a variety of purposes. In order to lighten these concerns, a number of techniques have newly been proposed in order to perform the data mining tasks in a privacy - preserving way. Privacy preserving data mining has become increasingly popular because it allows sharing of privacy sensitive data for analysis purposes. So society have become increasingly indisposed to share their data, frequently resulting in individuals either refusing to share their data o r providing incorrect data. Privacy preserving data mining has been studied extensively, because of the wide explosion of sensitive information on the g lobal source. In this paper, we provide a review of methods for privacy and analyze the representative t echnique for privacy preserving data mining.

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Keywords
Privacy preserving, Data Mining, Techniques, Analysis.