Customer Segmentation Methods Analysis Based on the Support-Significant Structure

The paper puts forward a new classification method of association rules that is based on support-significant structure. Starting from the characteristics of customer segmentation, this method introduces a up-to-date rule evaluation index significance during the produce process of classification rules, therefore, the evaluation and selection of principle have serious statistical basis. After simple comparison of the real example, we prove the comparative superiority of introducing significance into the customer segmentation.