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Association rule mining has been an area of active research in the field of knowledge discovery and numerous algorithms have been developed to this end. Of late, data mining researchers have improved upon the quality of association rule mining for business development by incorporating the influential factors like value (utility), quantity of items sold (weight) and more, for the mining of association patterns. In this paper, we propose an efficient approach based on weight factor and utilitydoi:10.1061/(asce)0742-597x(1998)14:1(26) fatcat:ozhmjcttzfdmtmyiv7cwkkvsly