A Privacy Preserving Clustering On Alphanumeric Data

Authors(6) :-Patel Kevin, Patel Hiteshree, Patel Krishna C., Patel Krishna J., Mr. Kaushal Patel, Dr. Sheshang Degadwala

Huge volume of detailed data is collected and analyzed by applications using data mining, sharing of these data is beneficial to the unauthorized persons. On the other hand, it is an important asset to business organization and government for decision making process. At the same time analyzing such data open threats to privacy if privacy is not preserved properly. Our project aims to reveal the information by protecting sensitive data. We are using three perturbation techniques to preserve the privacy of data. Perturbed dataset does not reveal the original data and also does not change the analysis results. Hence, privacy is preserved.

Authors and Affiliations

Patel Kevin
U.G.B.E. Student Computer Engineering, Sigma Institute of engineering, Bakrol, Gujarat, India
Patel Hiteshree
U.G.B.E. Student Computer Engineering, Sigma Institute of engineering, Bakrol, Gujarat, India
Patel Krishna C.
U.G.B.E. Student Computer Engineering, Sigma Institute of engineering, Bakrol, Gujarat, India
Patel Krishna J.
Assistant Professor, Computer Engineering, Sigma Institute of engineering, Bakrol, Gujarat, India
Mr. Kaushal Patel
Head of Department, Computer Engineering, Sigma Institute of engineering, Bakrol, Gujarat, India
Dr. Sheshang Degadwala

Privacy, Preserve, Data mining, Clustering, Perturbation

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Publication Details

Published in : Volume 4 | Issue 5 | March-April 2018
Date of Publication : 2018-04-10
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 339-342
Manuscript Number : CI023
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Patel Kevin, Patel Hiteshree, Patel Krishna C., Patel Krishna J., Mr. Kaushal Patel, Dr. Sheshang Degadwala, " A Privacy Preserving Clustering On Alphanumeric Data, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 5, pp.339-342, March-April.2018
URL : http://ijsrset.com/CI023

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