Privacy Preservation by Using AMDSRRC for Hiding Highly Sensitive Association Rule
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 6
Abstract
Abstract: Researchers are needed for settling on the choice of information mining. In any case a few associations to help with some external counsellor for the procedure of information mining on the grounds that they don't have their consultant. At the time of getting counsel from the outside counsellor it may have to face risks. The loss of business intelligence and client information security and security related issues are emerging. In mining it is the main challenging issue. The owner of the data has some private information or property like association rule contained outsources database. However the mining results integrity can influence gravely if the administration supplier is not reliable. To overcome this problem we are planning to use AMDSRRC. In this paper, we propose a heuristic based algorithm named AMDSRRC (Advanced Modified Decrease Support of R.H.S. item of Rule Clusters) to conceal the exceedingly association rules with different items in consequent (R.H.S) and antecedent (L.H.S). The sensitive rule is the one having helped more prominent than or equivalent to MST (Minimum Support Threshold) and certainty more noteworthy than or equivalent to MCT (Minimum Confidence Threshold) & close to 100%. The planning is to improve efficiency and adaptability of the proposed algorithm than existing standard algorithm MDSSRC.
Authors and Affiliations
Mr. Pravin R. Pond , Prof. Chetan V. Andhare , Dr. S. M. Jagade (Ph. D)
Keywords
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