数据挖掘技术在银行领域的应用有四个方面：银行客户关系管理、银行风险管理、银行信用等级评估、银行服务分析和预测。
The application of DM technique to banking consists of four components: customer relationship management, risk management, credit grade evaluation, and service analysis and forecasting.
运用混合整数规划法构建企业信用风险评估模型，并将其应用于我国商业银行信用风险评估中。
Mixed integer programming approach is used to construct the evaluation model of enterprise's credit risk in this paper, and is applied to credit risk evaluation in commercial Banks.
在确立了商业银行信用风险评价指标体系的基础上，建立了基于模糊神经网络的商业银行信用风险评估模型。
A commercial bank credit risk assessment model based on fuzzy neural network is established using the credit assessment index system established for commercial Banks.
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