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Privacy Preserving Secure Data Mining of Association Rules in Horizontally in Distributed Computation Databases


Ch. Narsimha Chary, K. Aparna, K. Nagasindhu
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We propose a protocol for secure mining of association rules in horizontally distributed databases. Our protocol, like theirs, is predicated on the quick Distributed Mining FDM rule that is Associate in unsecured distributed version of the Apriori rule. the most ingredients in our protocol area unit Two novel secure multi-party algorithms ,one that computes the union of personal subsets that every of the interacting players hold, and another that tests the inclusion of part command by one player in an exceedingly set command by another. Our protocol offers increased privacy with regard to the protocol. Additionally, it's easier and is considerably additional economical in terms of communication rounds, communication value and procedure value.

Ch. Narsimha Chary, K. Aparna, K. Nagasindhu

Secure Mining, Fast Distributed Databases, Distributed Mining, Multi Party Rule

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Publication Details

Published in : Volume 1 | Issue 5 | September-October - 2015
Date of Publication Print ISSN Online ISSN
2015-10-25 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
276-279 IJSRSET151547   Technoscience Academy

Cite This Article

Ch. Narsimha Chary, K. Aparna, K. Nagasindhu, "Privacy Preserving Secure Data Mining of Association Rules in Horizontally in Distributed Computation Databases", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 5, pp.276-279, September-October-2015.
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