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An Proposed Model for Sensitive Rule Hiding

Author(s):

Kaushal Bhatt , JIT, Borawan , Khargone(M.P); Ankit Dongre, JIT, Borawan, Khargone(M.P.)

Keywords:

Privacy preserving, Data mining, Association rule, Association rule publishing.

Abstract

The corporations and users own and store their large quantities of data in digital form. Data mining tools are developed and used to extract useful information from that database. But problem is arise when the data base having private information called as a sensitive information about users and/or their organizations, there are worries that these data mining tools may inadvertently reveal sensitive information along with the originally intended output. That’s why, we are interested in developing practical approach for privacy preserving data mining. And this research paper provides an efficient model for privacy preserving data mining.

Other Details

Paper ID: IJSRDV2I5103
Published in: Volume : 2, Issue : 5
Publication Date: 01/08/2014
Page(s): 123-124

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