Usually, you will not use all the features for customer segmentation.
通常情况下，您将不会使用所有客户细分的功能。
The strategy of customer segmentation is the best base for getting customers.
而客户细分策略就是他们赢得客户的最好基础。
A typical example from the area of business intelligence is the task of customer segmentation.
一个来自商务智能领域的典型事例是客户细分任务。
For the customer segmentation example, you need only a very simple stream as depicted in Figure 10.
对于客户细分示例来说，您只需要一个如图10所示的很简单流。
Customer value judgment and customer segmentation is the important breakthrough to solve the problem.
判定客户价值、对客户进行细分，是解决这一问题的重要突破口。
Analytics that support customer segmentation, campaign planning, product planning, and market analysis.
支持客户分类，宣传计划，产品计划和市场分析的分析法。
Customer Segmentation Analysis: Business Travelers are more critical and demanding than the other user groups.
客户分析：商务客比其它的用户群更挑剔，要求更多。
Customer segmentation is the basis for the telecom enterprises to provide customer-oriented product and services.
客户细分是电信企业提供面向客户的产品和服务的基础。
Currently, there are some applications of clustering algorithms in customer segmentation of bank for experiments.
目前已有一些聚类算法应用于银行客户细分的实验。
Customer segmentation based on customer value is a method of segmenting customer through analyzing customer value.
基于客户价值的客户分类是根据客户的价值大小来判断客户的类别。
This article USES a customer segmentation example to describe how to perform the tasks involved with analyzing SAP data.
本文使用了一个客户细分示例来描述如何执行涉及分析SAP数据的任务。
Then the thesis introduces the fuzzy clustering approach's advantage and how it can be used in customer segmentation.
然后分析模糊聚类方法的优点，以及在客户细分中的适用性。
This paper analyses the clustering technology in data mining and its current research status in customer segmentation.
本文分析了数据挖掘中的聚类技术以及聚类技术在客户细分领域中的研究现状。
The fourth part constructed a frame on customer equity management of some enterprises based on the customer segmentation;
第四部分构建了基于顾客细分企业管理顾客资产的模式；
Customer segmentation refers to a process that divide customer sets into one or many classes using customer attributes data.
客户分类是指根据一个或若干个客户属性划分客户集合的过程。
Customer segmentation model refers to a model that classifying customers by selected segmentation variables, on certain standard.
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。
This paper described the actual application of data mining in banking customer segmentation, and also discussed its effectiveness.
本文阐述了数据挖掘技术在银行客户细分中的具体应用，并对其有效性进行了探讨。
It is not sufficient to claim that customer segmentation is dead and set up an automatically generated slew of ads based on input.
声称客户细分已经寿终正寝，并根据输入数据自动生成一大串广告，也不足以让人满意。
Now that you have defined the features and created the final table, the only step remaining is to build the actual customer segmentation model.
现在，您已经定义了功能并创建了最终表，唯一剩下的步骤是建立实际客户细分模型。
Experimentation results showed that the classification ability of this new method is better than tradition customer segmentation methods.
实验分析表明，该方法的分类效果明显优于传统的运用单个分类器的分类方法。
The example USES a customer segmentation scenario, but you can easily transfer most of the same techniques to other tasks or other SAP subsystems.
虽然该示例使用了客户细分场景，但是您可以很容易地将很多相同的技术应用于其他任务或其他sap子系统。
Data mining techniques are broadly used in customer relationship management, which enhance the capacity of customer segmentation to a new level.
数据挖掘技术在客户关系管理领域的应用较广泛，能提高客户细分能力。
In the upcoming last article of this series, you will learn how to combine all methods presented so far in an interactive customer segmentation application.
在本系列最后一期文章中，将会为您介绍如何在一个交互式客户细分应用程序中综合使用到目前为止本系列文章所展示的所有方法。
Real telecom customer data were used for simulation and the experimental results show that the algorithm can solve customer segmentation problem effectively.
利用真实电信客户数据进行的模拟实验也表明，提出的算法具有良好性能，可以有效解决电信客户细分问题。
First, the concept and calculation method of customer service level based on customer segmentation are advanced through computing the customer lifetime value.
第一，通过客户生命周期价值的计算，进行客户价值细分，提出了基于客户细分的分销系统客户服务水平的概念和计算公式。
In this paper, a comprehensive analysis of existing customer segmentation approach and focus on data mining in the area of customer segmentation on the application.
该文综合分析了现有的客户细分方法，并着重对数据挖掘技术在客户细分领域的应用进行阐述。
This thesis applies data mining techniques to customer segmentation based on customer value matrix and builds the classification model of customer with different value.
本文把数据挖掘技术应用于基于客户价值矩阵的客户价值细分中，建立各类价值客户的分类模型。
The main difference between modern customer segmentation model and traditional customer classified method has concentrated on different segmentation variables and on ways.
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。
After that, bring forward a three-dimension customer segmentation method based on customer current value (CCV), customer potential value (CPV) and customer stability (CS).
然后提出了基于客户当前价值(CCV)、客户潜在价值(CPV)与客户稳定性(CS)的科学合理的三维客户细分方法。
After that, bring forward a three-dimension customer segmentation method based on customer current value (CCV), customer potential value (CPV) and customer stability (CS).
然后提出了基于客户当前价值(CCV)、客户潜在价值(CPV)与客户稳定性(CS)的科学合理的三维客户细分方法。
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