Association rule mining is always considered to be the most important task for mining data in almost every field. There have been many algorithms devised for mining frequent patterns till today. Algorithm evolutions started with AIS which was soon upgraded and named as Apriori. Apriori is most widely used algorithm in terms of data mining. In this paper an improved approach to Apriori termed as reverse Apriori is proposed and the results are compared with the classical approach.
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