Association Rules Mining using Modified Genetic Algorithm

The association rules are generally used to find out the relations between different data entities in given data set. Practically the data set can contain a large number of data entities which forms a large number of rules set but for the understanding of efficient relation it is needed that rules should be kept as minimum as possible without losing the useful information this is a difficult task and can be seen as optimization problem. In this paper we are presenting an improved genetic algorithm based association rule mining & the results shows that the proposed algorithm outperforms the genetic algorithm in terms of time and quality.