Mining Association Rules Based on Cloud Model and Application in Credit Card Marketing

Mining association rules is an important issue in KDD applications. In this paper, we first use the cloud model to dynamically divide attribute value to overcome the shortcoming that the concept was partitioned by experience, and then explore the application of cloud models in mining association rules from credit card database by the improved Apriori algorithm. The result of experiment shows that the method is effective and flexible in holding uncertainties. By analyzing cloud association rules, valuable advice can be provided for the commercial banks to implement personalized marketing.