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Reseach Article

A Survey: Privacy Preserving Data Mining

by Komal Kapadia, Raksha Chauhan
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 112 - Number 2
Year of Publication: 2015
Authors: Komal Kapadia, Raksha Chauhan
10.5120/19642-1228

Komal Kapadia, Raksha Chauhan . A Survey: Privacy Preserving Data Mining. International Journal of Computer Applications. 112, 2 ( February 2015), 41-44. DOI=10.5120/19642-1228

@article{ 10.5120/19642-1228,
author = { Komal Kapadia, Raksha Chauhan },
title = { A Survey: Privacy Preserving Data Mining },
journal = { International Journal of Computer Applications },
issue_date = { February 2015 },
volume = { 112 },
number = { 2 },
month = { February },
year = { 2015 },
issn = { 0975-8887 },
pages = { 41-44 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume112/number2/19642-1228/ },
doi = { 10.5120/19642-1228 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:48:25.207119+05:30
%A Komal Kapadia
%A Raksha Chauhan
%T A Survey: Privacy Preserving Data Mining
%J International Journal of Computer Applications
%@ 0975-8887
%V 112
%N 2
%P 41-44
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Privacy preserving data mining techniques are introduced with the aim of extract the relevant knowledge from the large amount of data while protecting the sensible information at the same time. The success of data mining relies on the availability of high quality data. To ensure quality of data mining, effective information sharing between organizations becomes a vital requirement in today's society. Privacy preserving data mining deals with hiding an individual's sensitive identity without sacrificing the usability of data. Whenever we are concerning with data mining, Security is measure issue while extracting data. Privacy Preserving Data Mining concerns with the security of data and provide the data on demand as well as amount of data that is required.

References
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Index Terms

Computer Science
Information Sciences

Keywords

MHS algorithm EMHS algorithm CK secure sum and Randomized response technique.