Modified Genetic Algorithm and Association Rule Mining for the Retail Sector

This paper concentrates on the optimization of elementary association rule mining. The basic approach mining generates positive but focusing both and negative to find out efficient results is lacking. Thus our aim provide an optimize all rules with help a modified genetic algorithm. A algorithm technique that provides best possible solutions are stronger than other solutions. present focuses importance population through mean fitness value for further operation. also shows comparison between normal Apriori, Genetic Algorithm, proposed Where in as result worked better others. We believe methodology would increase efficiency Decision support system retail stores.