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A Comparative Analysis of Association Rule Mining Algorithms in Data Mining: A Study

Data mining is a crucial facet for making association rules among the biggest range of itemsets. Association rule mining [ARM] is one among the techniques in data processing that has 2 sub processes. First, the strategy referred to as finding frequent itemsets and the second method is association rule mining. During this sub method, the principles with the utilization of frequent itemsets are extracted. Researchers developed plenty of algorithms for locating frequent itemsets and association rules. This paper presents the extensive study of various Association Rule mining algorithms and its comparisons. This paper also compared the ARM algorithms based on the merits, demerits, data support and speed.

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