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With the rampant competition in the domestic and international business, the Customer Relationship Management(CRM) has become one of matters of concern to the enterprise. CRM takes the customers as the center, it gives a new life to the enterprise organization system and optimizes the business process. In an effort to help enterprises understand their customers' shopping behavior and the ways to retain valued customers, we propose data mining techniques. As a rising subject, data mining is playing an increasingly important role in the decision support activity of every walk of life. This paper mainly focused on the research of the customer classification and prediction in commercial banks based on Naive Bayesian classifier that accommodates the uncertainty inherent in predicting customer behavior.