AN UPDATED HYBRID TECHNIQUE FOR PRESERVING PRIVACY IN DATA MINING USING ASSOCIATION RULE HIDING
Arpit Rathod
, Prof. Rahul Moriwal
AN UPDATED HYBRID TECHNIQUE FOR PRESERVING PRIVACY IN DATA MINING USING ASSOCIATION RULE HIDING
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
"AN UPDATED HYBRID TECHNIQUE FOR PRESERVING PRIVACY IN DATA MINING USING ASSOCIATION RULE HIDING", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.1, Issue 12, page no.108 - 110, December-2016, Available :https://ijsdr.org/papers/IJSDR1612022.pdf
Volume 1
Issue 12,
December-2016
Pages : 108 - 110
Paper Reg. ID: IJSDR_160984
Published Paper Id: IJSDR1612022
Downloads: 000347206
Research Area: Engineering
Country: --, --, --
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
