Credit risk is the main risk taken by commercial Banks. Credit risk measurement models include Expert Judgment, Credit Scoring, Neural Network Analysis as well as Modern Default Probability model.
信用风险是商业银行面临的主要风险，信用风险的度量模型有专家判断法、信用评分法、神经网络分析法以及现代违约概率模型等。
This paper investigates the credit scoring accuracy of three naive Bayesian classifier models.
论文研究了三种朴素贝叶斯分类器信用评估模型的精度。
This series of blog posts tries to cover the theory behind credit scoring and models typically used in consumer lending domain.
本系列博文将针对消费贷款领域的信用评分及其模型进行相关研究探讨。
Different support vector classification and regression predict models are constructed and applied to the solution of the customer classification, credit scoring, business prediction and so on.
通过建立不同类型的支持向量模型，解决了包括客户群体分类、信用评估、客户盈利能力预测等客户分析领域的众多复杂问题。
The application of data mining classification techniques in credit scoring involves the process of building and selecting optimal models.
运用数据挖掘分类技术于信用评分问题包括一个建立模型以及选择最优模型的过程。
Unlike applicant scoring that can use static credit models, behavioral and profit scoring models require dynamic credit models that consider past behavior.
与可使用静态信用评分模式的申请人评分不同，行为评分和利润评分需要使用动态信用评分模式，即要将过去的信贷行为纳入考虑范围。
Secondly, this paper looks at some theories about consumer credit and personal credit-scoring, and then Outlines the development of techniques applied in credit-scoring models.
第二章论述了消费信贷和个人信用评分的有关理论问题，以及关于个人信用评分模型的文献综述。
Secondly, this paper looks at some theories about consumer credit and personal credit-scoring, and then Outlines the development of techniques applied in credit-scoring models.
第二章论述了消费信贷和个人信用评分的有关理论问题，以及关于个人信用评分模型的文献综述。
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