支持客户分类，宣传计划，产品计划和市场分析的分析法。
Analytics that support customer segmentation, campaign planning, product planning, and market analysis.
更强大的客户机分类和标识符支持。
More powerful categorization and identifier support for clients.
基于非平衡数据集的支持向量域分类模型，提出了一种银行客户个人信用预测方法。
A new predication method of customer credit of Banks is proposed based on the support vector domain classification model of non-balance data set.
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。
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.
本文将数据挖掘技术应用到商业银行的客户关系管理系统中，为商业银行的客户分类和交叉销售提供了数据分析上的支持。
We make use of the data mining technology in the CRM of commercial bank, give the support for classifying client and cross-sell.
本文将数据挖掘技术应用到商业银行的客户关系管理系统中，为商业银行的客户分类和交叉销售提供了数据分析上的支持。
We make use of the data mining technology in the CRM of commercial bank, give the support for classifying client and cross-sell.
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