High Impact Factor : 4.396 icon | Submit Manuscript Online icon |

Review of Association Rule in Privacy Preserving Data Mining

Author(s):

Sagar Kothadiya , Noble Group of Institutions, Junagadh, Gujarat, India- 362001; Nidhi Gondalia, Noble Group of Institutions, Junagadh, Gujarat, India- 362001

Keywords:

Privacy Preserving Data Mining, Confidence, Support, association rules, Item sets

Abstract

Data mining is a popular analysis tool to extract information from collection of huge amount of data. The objective of this paper is to review an association rule hiding algorithm for privacy preserving data mining which would be used for providing confidentiality and improve the performance when the database stores and retrieves large amount of data. Association rule hiding which is one of the techniques of PPDM to protect the association rules generated by association rule mining. Association rule hiding refers to the process of changing the original database in such a way that certain sensitive association rules hide without seriously affecting the data and the non-sensitive rules. Association rule mining is an significant data-mining technique that finds riveting association among huge amount of data items.

Other Details

Paper ID: IJSRDV3I90639
Published in: Volume : 3, Issue : 9
Publication Date: 01/12/2015
Page(s): 938-940

Article Preview

Download Article