High-Utility Pattern Mining by Removing Recurrent Patterns

Abstract

High Utility Itemset Mining (HUIM) algorithm is implied uniquely to identify maximum utility for an itemset at a particular time, yet it can’t be utilized to discover itemsets that produce high utility. Such high utility itemsets are discovered for the products which may merchandise well for specific season but may not sell well for other time intervals. In this paper we have utilized the LHUIMiner  to locate the particular time interim at which the  pattern has high utility . The PHUI Miner algorithm is used for finding time interval where some products are sold with unusual profit. To remove the recurrent itemsets found within the same time window we have proposed a new algorithm Closed High Utility Itemset mining algorithm. The Closed High Utility Itemset Mining(CHUI) reduces the itemsets within specific time interval and reduces the processing time and memory usage.