Privacy Preserving Data Mining

Gauri Prasanna Deo; Girish A. Kulkarni

Privacy Preserving Data Mining

September 2020

Vol-6, Issue-5

Paper ID: 12806

ISSN: 2395-4396

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Abstract & Details

Research Area

Computer Engineering

Keywords

Data Mining PPDM Privacy Preservation k nearest neighbor.

Abstract

The growing popularity and development of data mining technologies bring serious threat to the security of individual’s sensitive information. An emerging research topic in data mining, known as privacy preserving data mining (PPDM), has been extensively studied in recent years. The basic idea of PPDM is to modify the data in such a way so as to perform data mining algorithms effectively without compromising the security of sensitive information contained in the data. In this paper we discussed the k nearest neighbor algorithm which is used for privacy preserving data mining.

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Author Information

#	Name	Institute / Affiliation
1	Gauri Prasanna Deo	S.S.G.B.C.O.E.T.
2	Girish A. Kulkarni	S.S.G.B.C.O.E.T.

How to Cite

Use the following formats to cite this article in your research.

APA Style

Deo, Gauri Prasanna & Kulkarni, Girish A. (2020). Privacy Preserving Data Mining. International Journal of Advance Research and Innovative Ideas In Education, 6(5), 1138-1145.

MLA Style

Deo, Gauri Prasanna, and Girish A. Kulkarni. "Privacy Preserving Data Mining." International Journal of Advance Research and Innovative Ideas In Education, vol. 6, no. 5, 2020, pp. 1138-1145.

IEEE Style

Gauri Prasanna Deo and Girish A. Kulkarni, "Privacy Preserving Data Mining," International Journal of Advance Research and Innovative Ideas In Education, vol. 6, no. 5, pp. 1138-1145, 2020.

Vancouver Style

Deo Gauri Prasanna, Kulkarni Girish A.. Privacy Preserving Data Mining. International Journal of Advance Research and Innovative Ideas In Education. 2020;6(5):1138-1145.

Harvard Style

Deo, Gauri Prasanna & Kulkarni, Girish A. (2020) 'Privacy Preserving Data Mining', International Journal of Advance Research and Innovative Ideas In Education, 6(5), pp. 1138-1145.

Chicago Style

Deo, Gauri Prasanna and Girish A. Kulkarni. "Privacy Preserving Data Mining." International Journal of Advance Research and Innovative Ideas In Education 6, no. 5 (2020): 1138-1145.

Turabian Style

Deo, Gauri Prasanna and Girish A. Kulkarni. "Privacy Preserving Data Mining." International Journal of Advance Research and Innovative Ideas In Education 6, no. 5 (2020): 1138-1145.