目前，在客户关系管理中使用的客户分类方法很多。
Now, there are many methods classing customers applied in customer Relationship Management.
元数据概要由HTML4引入，其目的是为了让作者向客户端提供一种或多种文档查看或分类的方法。
Metadata profiles were introduced in HTML 4 to allow an author to provide clients with one or more ways of categorizing or viewing a document.
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.
进而，据此开发了一个基于信息分类的产品编码与配置系统，并提出了利用粗糙集的相关理论与方法处理配置过程中的客户模糊需求信息的方法。
Moreover, the product coding and configuration system based on information classifying was developed by using the theory of Rough Set to deal with uncertain customer demand.
客户细分模型是指选择一定的细分变量，按照一定的划分标准对客户进行分类的方法。
Customer segmentation model refers to a model that classifying customers by selected segmentation variables, on certain standard.
在分析了客户知识发现的含义和客户知识分类的基础上，提出了一种客户知识发现的分析方法。
On the basis of analyzing the customer knowledge discovery and customer knowledge classification, an approach to customer knowledge discovery is presented.
客户分类管理则是实现CRM的主要手段和方法。
Customerclassified Management is a main method to realize CRM.
通过实例验证了这种方法能够有效地对客户进行细分、提取分类规则，并提高了分类准确性。
The results demonstrate that the methodology can classify the customers effectively, extract the classification rule and enhance the classification accuracy.
详细介绍了用聚类方法进行客户分类的原理及具体计算步骤。
In addition, introduces the principles of using clustering approach on customer classification and the details about step of the calculation.
现代客户细分模型与传统客户分类的区别主要集中在不同的细分变量以及采用的方法。
The main difference between modern customer segmentation model and traditional customer classified method has concentrated on different segmentation variables and on ways.
实验结果表明，此算法较传统分类算法能提高客户流失预测性能，实现了基于链接分类方法的成功应用。
The result of examination indicates that this algorithm promote the capability of the customer churn prediction model, it's surely a successful application of link based classification.
实验结果表明，此算法较传统分类算法能提高客户流失预测性能，实现了基于链接分类方法的成功应用。
The result of examination indicates that this algorithm promote the capability of the customer churn prediction model, it's surely a successful application of link based classification.
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