Application of Data Mining Classification Algorithms in Customer Membership Card Classification Model

This paper uses data mining classification algorithms--C5.0 and CART algorithms to get useful information to decision-making out of customerspsila transaction behaviors. Firstly, by business understanding, data understanding and data preparing, modeling and evaluating we get the results of the two algorithms and by comparing the results ,we know that the two algorithms can both be applied in the customer membership card classification model and can obtain a quite accurate result. Then we introduce the application of this model. Through analysis, we get to know customerspsila income level and children number are the two main factors to affect them to choose cards. Knowing that, enterprises can take corresponding measures, such as dividing customers into different groups and then recommending the corresponding card to the customer who has the similar characteristics. By this means, enterprises can provide special service to different card rank users in order to attract more and more customers.