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In databases or data warehouse records the relevance between interesting mutual relationships amongst the attributes has gained a lot of focus now-a-days. The main research in this area is the Mining of association rules. To mine the association rules, it is important to generate the frequent itemsets. The efficiency of mining association rules depends on how quickly the frequent itemsets can be mined. Currently various algorithms exist to generate the frequent itemsets. In this paper, the authors mainly focus on the analysis of various data structures used in different algorithms and their effect on the algorithms.