Paper Title :Multithreaded Maximum Flow based Frequent Item Selection Algorithm for Heterogeneous Storage Architecture

Author :Pooja Mulajkar, Indhu Pai, Monika Sakhare, Trupti Zende, V.M.Barkade

Article Citation :Pooja Mulajkar ,Indhu Pai ,Monika Sakhare ,Trupti Zende ,V.M.Barkade , (2017 ) " Multithreaded Maximum Flow based Frequent Item Selection Algorithm for Heterogeneous Storage Architecture " , International Journal of Advance Computational Engineering and Networking (IJACEN) , pp. 66-70, Volume-5,Issue-7

Abstract : Apriori is an association rule mining algorithm which generates frequent items. In our proposed system, the transaction data set is divided into chunks, making the system to work parallely. Each chunk is assigned to each thread where threads are generated in multicore system. As per the minimum support given, the items which are greater than or equal to minimum support are added in frequent items. Comparing with serial and parallel approach CPU utilization and time factor will be analyzed. Keyword - Apriori, association rule mining, chunks, candidate item set, minimum support, frequent items.

Type : Research paper

Published : Volume-5,Issue-7

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