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According to recent statistics, there was drastic growth in online business sector where more number of customers intends to purchase items. Due to these retailers accumulates huge volumes of data from day to day operations and engrossed in analyzing the data to watch the behavior of customers at items which strengthen the business promotions and catalog management. It reveals the customer interestingness and frequent items from large data. To carry out this there was known algorithms presentdoi:10.11591/ijeecs.v24.i2.pp1084-1090 fatcat:l3vbscy6rbezvmt7dl4cduuv6i