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With the existence of many large transaction databases, the huge amounts of data, the high scalability of distributed systems, and the easy partition and distribution of a centralized database, it is important to inuestzgate eficient methods for distributed mining of association rules. This study discloses some interesting relationships between locally large and globally large itemsets and proposes an interesting distributed association rule mining algorithm, FDM (Fast Distributed Mining ofdoi:10.1109/pdis.1996.568665 dblp:conf/pdis/CheungHNFF96 fatcat:6cjkjqop2rcd7fh3qfn6saks6q