A Review of Privacy Clustered Mining of Association Rules in Distributed Databases
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

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Survey Paper | Computer Science & Engineering | India | Volume 3 Issue 10, October 2014

A Review of Privacy Clustered Mining of Association Rules in Distributed Databases

Vanita Babane, Shital K.Somawar

With the use of protocol, secure mining of association rules in distributed database can be takes place. Some of the protocols based on the FDM (fast distributed mining) which consist of unsecured version of Apriori Algorithm. Thus different ways are presented by various researchers to overcome the problem of unsecure mining of association rules. In this paper a protocol containing two novel secure multiparty algorithms are proposed to overcome these problems.

Keywords: Privacy preserving data mining, Distributed Computation, Association rules

Edition: Volume 3 Issue 10, October 2014

Pages: 1757 - 1758

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How to Cite this Article?

Vanita Babane, Shital K.Somawar, "A Review of Privacy Clustered Mining of Association Rules in Distributed Databases", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=OCT14648, Volume 3 Issue 10, October 2014, 1757 - 1758

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A Review of Privacy Clustered Mining of Association Rules in Distributed Databases

Vanita Babane, Shital K.Somawar

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