Abstract
With the increasing competition in the banking sector, banks make every effort to compete for valuable customer resources in order to get more benefits, but how to make customers to retain, or reduce the loss of customers is become the key issues for the banks. In this paper, using theoretical research and practical method to discusses how to use data mining techniques to predict the bank's customer churn. Identifying risky customers and taking certain measures before customers really lost .The research will provide a reliable basis for decision-making of banks.
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