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The first step of association rule mining is finding out all frequent itemsets. Generation of reliable association rules are based on all frequent itemsets found in the first step. Obtaining all frequent itemsets in a large database leads the overall performance in the association rule mining. In this paper, an efficient method for discovering the maximal frequent itemsets is proposed. This method employs Association array technique and depth first search technique to mine Maximal Frequentdoi:10.5120/13306-0799 fatcat:rmswbzx3gzfejb5laser34qbzy