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Problem Statement: In today's life, the mining of frequent patterns is a basic problem in data mining applications. The algorithms which are used to generate these frequent patterns must perform efficiently. The objective was to propose an effective algorithm which generates frequent patterns in less time. Approach: We proposed an algorithm which was based on hashing technique and combines a vertical tidset representation of the database with effective pruning mechanisms. It removes all thedoi:10.3844/jcssp.2008.638.645 fatcat:grbm65bnknelxc2thgpdcxtpmm