Abstract
Mining frequent itemsets is one of the most investigated fields in data mining. It is a fundamental and crucial task. In data mining approach, the quantitative attributes should be appropriately dealt with as well as the Boolean attributes. Apriori Algorithm is one the best methods to extract the frequent mining Data Set. This paper gives us a brief review of apriori algorithm along with its uses to various fields and with various algorithms.
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