INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Privacy Preserving Data Mining Techniques by using a Data Anonymization - based Framework
Authors Name:
Arti K. Pandya
, Priyanka R. Raval
Unique Id:
IJSDR1704118
Published In:
Volume 2 Issue 4, April-2017
Abstract:
Data mining techniques are used to mine the knowledge from a large database. But sometime these knowledge can disclose sensitive information about the data holder or individuals. The goal of privacy preservation technique is to release aggregate information about the data, without leaking individual information about participants. Several techniques of privacy preserving data mining have been proposed in literature. Privacy in data mining can be obtained by various techniques like Perturbation, Anonymization and Cryptographic. This paper tries to reiterate various Privacy Preserving Data Mining (PPDM) techniques based on anonymization currently developed to meet the privacy issues in the process of data mining.
"Privacy Preserving Data Mining Techniques by using a Data Anonymization - based Framework", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.2, Issue 4, page no.615 - 619, April-2017, Available :http://www.ijsdr.org/papers/IJSDR1704118.pdf
Downloads:
000337072
Publication Details:
Published Paper ID: IJSDR1704118
Registration ID:170329
Published In: Volume 2 Issue 4, April-2017
DOI (Digital Object Identifier):
Page No: 615 - 619
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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