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.
我们目前的一个银行客户将InformationFrameWork作为扩展检查清单使用，用于对超过300个大型机应用程序中的数据和应用程序资产进行分类。
A current banking client USES the Information FrameWork to act as an extended checklist for the classifying data and application assets in their 300 + mainframe applications.
作为一个远程客户端工具，它可以连接到远程数据库且不需要您在本地对远程数据库进行分类。
Being a remote client tool, it can connect to remote databases without requiring you to catalog the remote databases in the local machine.
本文主要讨论如何在信用卡一级代理过程中运用数据挖掘算法和技术对潜在客户进行分类，以便能在开展业务的过程中有所针对性。
This thesis mainly discusses how to classify the potential customers with data mining algorithm and technology, by which there can be a correct orientation in the process of practical work.
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.
对客户需求类型进行了分类，分析了各种类型下的产品配置过程的映射关系，并建立了统一的配置模型表达。
The mapping relation of product configuration process for different customer requisite types is analyzed and the uniform model expression is established.
文章还利用客户分类管理矩阵对客户进行了分类管理。
The customer classification management is also analyzed through using for the matrix of customer classification management.
根据客户订单分离点（CODP）在供应链上所处的不同位置对延迟制造战略进行了再分类；
Finally, the article classifies postponement strategy into four types ac-cording to the different locations of the CODP(Customer Order Decoupling Point)in the supply chain and fur-ther discusses them.
最后根据客户价值评价结果进行客户分类，并对每个类别的客户特征及其相应的营销策略进行了分析。
At the end of this paper, we segment customer according to evaluate result and analyze the marketing strategy of each customer sort.
文章最后对课题的研究进行总结，并且对基于数据挖掘的我国证券业客户分类及忠诚度研究的前景做出展望。
The paper finally summarize the research, propose outlook of domestic security customer classification and loyalty research based on data mining technology.
运用模糊集技术处理商业银行中的非精确数据，对个人客户进行聚类分析，并通过实例分析了实现银行客户分类的整个过程。
A method of dealing with non-accurate data in commercial bank based on fuzzy set is presented, and clustering analysis of personal customer is introduced.
结合其它影响因子运用分类分析对客户忠诚度的趋势进行预测。
Predict the trend of customer loyalty by using regression and classification.
结合实际情况对某省固网运营商公司ICT业务进行了市场细分、产品分类制定和目标客户选择的研究。
In light of the actual situation, this research discussed ICT market segmentation, product classification and the target customers of choice.
具体地，完成了如下实例研究：①利用判定树算法对信用度好的个人信贷客户进行归纳分类模型的建立。
Then it completes the case researches below with data mining technologies:(1)With decision-tree algorithm , it creates a model which classifies the credit degrees of personal loan customers.
具体地，完成了如下实例研究：①利用判定树算法对信用度好的个人信贷客户进行归纳分类模型的建立。
Then it completes the case researches below with data mining technologies:(1)With decision-tree algorithm , it creates a model which classifies the credit degrees of personal loan customers.
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