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Association rule mining in the distributed database has become an important area of research, where frequent pattern or itemsets are found in a large distributed data of varied sizes stored at multiple sites. In recent years, new efficient data structures have been proposed for the data mining. A new algorithm named as QDFIN(Quick distributed frequent itemset mining using nodeset) is proposed in this paper which uses the efficient nodeset data structureto store the candidate itemsets locally atdoi:10.30534/ijatcse/2020/181942020 fatcat:aeo3c7t46natngkrr2pnuy6lma