Maintaining privacy and data quality in privacy preserving association rule mining

Show simple item record

dc.contributor.author Modi, Chirag
dc.contributor.author Rao, Udai Pratap
dc.contributor.author Patel, Dhiren R.
dc.contributor.other Presented at the 2010 International Conference on Computing Communication and Networking Technologies (ICCCNT)
dc.date.accessioned 2014-04-22T14:16:58Z
dc.date.available 2014-04-22T14:16:58Z
dc.date.issued 2010
dc.identifier.citation Modi, Chirag; Rao, Udai Pratap and Patel, Dhiren R., “Maintaining privacy and data quality in privacy preserving association rule mining”, presented at the 2010 International Conference on Computing Communication and Networking Technologies (ICCCNT), DOI: 10.1109/ICCCNT.2010.5592589, pp. 1–6, 2010. en_US
dc.identifier.uri http://dx.doi.org/10.1109/ICCCNT.2010.5592589
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/1029
dc.description.abstract Privacy preserving data mining (PPDM) is a novel research direction to preserve privacy for sensitive knowledge from disclosure. Many of the researchers in this area have recently made effort to preserve privacy for sensitive association rules in statistical database. In this paper, we propose a heuristic algorithm named DSRRC (Decrease Support of R.H.S. item of Rule Clusters), which provides privacy for sensitive rules at certain level while ensuring data quality. Proposed algorithm clusters the sensitive association rules based on certain criteria and hides as many as possible rules at a time by modifying fewer transactions. Because of less modification in database it helps maintaining data quality. en_US
dc.description.statementofresponsibility by Chirag Modi, Udai Pratap Rao and Dhiren R. Patel
dc.format.extent pp. 1–6
dc.language.iso en en_US
dc.publisher Institute of Electrical and Electronics Engineers (IEEE) en_US
dc.subject Algorithm design and analysis en_US
dc.subject Association rules en_US
dc.subject Clustering algorithms en_US
dc.subject Data privacy en_US
dc.subject Databases en_US
dc.subject Sensitivity en_US
dc.title Maintaining privacy and data quality in privacy preserving association rule mining en_US
dc.type Conference Paper en_US


Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

Search Digital Repository


Browse

My Account