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Research Article Open Access
Privacy consideration is frequently moderation of data mining. This paper addresses the problem of association rule mining using the FP tree algorithm where operation is scattered across multiple parties. Each party holds the number of transaction and the parties wish to work together to recognize globally valid Association rule. We presents the multi party transaction data that discovers frequent item sets with minimum support, without either parties revelling the individual data
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Author(s): Jyotirmayee Rautaray, Raghvendra Kumar
Horizontal Partitioning, FP tree algorithm, Secure multi party computation, Modified Ck secure sum., Aerospace Engineering,Applied Electronics,Applied Sciences,Biochemistry,Biogenetic Engineering.