One new association rules mining approach

Mining association rules is one of the important tasks in data mining.With the aim to further improve the cognitive feature and the performance of association rules mining algorithm,the paper proposes one new idea of association rules mining and one RBFCM-based association rules mining algorithm,which uses rule based fuzzy cognitive map to represent knowledge and to be accessible fuzzy inference to each association rule mined as so to reduce the frequency of interaction with the database. And the experiment demonstrates that the approach effectively increases the effectiveness of association rules mining and the intelligence compared with the Apriori algorithm.