International Journal of Computer Applications
A novel genetic algorithm based association rule mining algorithm is discussed in this paper. Prioritization of the rules has been discussed with the help of genetic algorithm. Fitness function is designed based on the two measures like all confidence and the collective strength of the rules, other than the classical support and the confidence of the rules generated. The algorithm is been tested for the four data sets like adult, chess, wine and zoo. The results are promising and lead to the future enhancements in this research area.