An algorithm of association rules extracting based on granular computing and its application

In this paper, on the basis of the Apriori algorithm, a granular computing-based algorithm for association rules extracting is presented. The comparison of the running time between the presented algorithm and the Apriori algorithm is discussed, and its running procedure is illustrated by a real world example. By analyzing, it is shown that the granular computing-based algorithm for association rules extracting reduces efficiently the number of candidate elements, and avoids scanning repeatedly the information table.