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
AN UPDATED HYBRID TECHNIQUE FOR PRESERVING PRIVACY IN DATA MINING USING ASSOCIATION RULE HIDING
Authors Name:
Arpit Rathod
, Prof. Rahul Moriwal
Unique Id:
IJSDR1612022
Published In:
Volume 1 Issue 12, December-2016
Abstract:
In this paper, we provide here an overview of the new and rapidly emerging research area of privacy preserving data mining. Privacy preserving in data mining is a very popular research topic. A large number of researchers are working on improving security in data mining. Also a detailed review of the work accomplished in this area is also given along with the coordinates of each work to the classification hierarchy. The critical review of some modern data hiding approaches is also performed. A upgraded hybrid technique is also proposed for preserving privacy in data mining using association rule hiding. The proposed updated method is taking less number of data base scans to hide an association rule
Keywords:
AN UPDATED HYBRID TECHNIQUE FOR PRESERVING PRIVACY IN DATA MINING USING ASSOCIATION RULE HIDING
Cite Article:
"AN UPDATED HYBRID TECHNIQUE FOR PRESERVING PRIVACY IN DATA MINING USING ASSOCIATION RULE HIDING", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.1, Issue 12, page no.108 - 110, December-2016, Available :http://www.ijsdr.org/papers/IJSDR1612022.pdf
Downloads:
000336256
Publication Details:
Published Paper ID: IJSDR1612022
Registration ID:160984
Published In: Volume 1 Issue 12, December-2016
DOI (Digital Object Identifier):
Page No: 108 - 110
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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