目前已有一些聚类算法应用于银行客户细分的实验。
Currently, there are some applications of clustering algorithms in customer segmentation of bank for experiments.
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。
For the customer segmentation example, you need only a very simple stream as depicted in Figure 10.
客户细分是电信企业提供面向客户的产品和服务的基础。
Customer segmentation is the basis for the telecom enterprises to provide customer-oriented product and services.
通信行业的激烈竞争，使客户细分工作显得越来越重要。
Under the fierce competition in telecommunications, subdivision of telecom clients becomes more and more important.
实验表明，该算法用于对银行客户细分有较好的聚类效果。
Experiments show that the algorithm has good clustering qualities when it is used to partition customers.
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。
Then the thesis introduces the fuzzy clustering approach's advantage and how it can be used in customer segmentation.
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。
This article USES a customer segmentation example to describe how to perform the tasks involved with analyzing SAP data.
将关键属性作为SOM神经模型的输入，提高客户细分质量。
Key attributes are used as inputs for learning by SOM neural network so as to obtain better clustering quality.
客户细分的方法有很多种，不同的细分方法有不同的适用范围。
There are many approaches to segment customers. Different approaches have different use scopes.
本文研究的主要内容是数据挖掘技术在电信客户细分领域的应用。
The central of this thesis is the application of Data Mining in telegraphic customer classification.
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。
Data mining techniques are broadly used in customer relationship management, which enhance the capacity of customer segmentation to a new level.
然而，传统的客户细分是以客户的统计学特征或购买行为特征为依据的。
However, the traditional customer segmentations were based on customers' behavior characteristics or customers' statistical characteristics.
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。
Now that you have defined the features and created the final table, the only step remaining is to build the actual customer segmentation model.
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。
This paper analyses the clustering technology in data mining and its current research status in customer segmentation.
由于知识冗余的存在，采用传统的聚类方法进行客户细分存在细分质量低的问题。
Due to the knowledge redundancy, the normally adopted traditional clustering method for customer classification suffers from low clustering quality.
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。
This paper described the actual application of data mining in banking customer segmentation, and also discussed its effectiveness.
另外，通过对戴尔细分市场的研究，可以了解戴尔是如何将客户细分、产品细分的。
In addition, after the analysis of Dell's precise classification of market, we can get to know how Dell has classified its clients and products.
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.
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.
设计高效、准确的客户细分聚类算法，成为汽车协作产业链平台实施客户细分的关键。
Design an efficient, accurate customer segmentation cluster algorithm, which is the key to realize customer segmentation of automobile collaborative industrial chain platform.
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。
It is not sufficient to claim that customer segmentation is dead and set up an automatically generated slew of ads based on input.
本文在客户细分的基础上，就留住电信企业的有价值的客户提出了有针对性的策略建议。
On the basis of customer segment, this article brings forward some strategies in maintaining valuable customer for China Telecommunication Corpoation.
本文从客户关系管理中客户细分理论出发，研究关联规则挖掘技术在客户细分中的应用。
Considering the customer relationship management and the customer segmentation theory, this dissertation researches on association rule mining techniques 'application on the customer segmentation.
最后，对模糊聚类在银行客户细分中的应用进行总结，并对未来的进一步研究做出展望。
At last, the thesis makes a conclusion about fuzzy clustering approach's application in banking, and discusses the usage in the future.
客户细分作为CRM中进行客户分析的第一步，其效果的优劣直接影响着企业以后的每一步。
Customer classification is the first step of customer analysis in CRM and it may influence every step of the enterprise development directly.
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。
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.
因此，客户细分已经成为移动通信企业市场营销策略制定、品牌推荐系统、新套餐研发的基础。
Then customer segmentation has become the bases for setting up marketing strategy, branding recommendation system as well as new set lunch developer of mobile communication enterprise.
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。
The example USES a customer segmentation scenario, but you can easily transfer most of the same techniques to other tasks or other SAP subsystems.
CIAS的商业逻辑层包括交叉销售、客户响应、客户细分、客户流失、客户利润，五个商业模型。
The business rules level of CIAS consists of five kinds of business models: cross selling, customer responsibility, customer segmentation, customer churn, customer profitability.
国外已有一些关于消费者行为应用于客户细分方面的研究，如RFM细分模型、客户价值矩阵模型等。
There has been some research abroad on consumer behavior applied in the field of consumer segmentation, like RFM model, Customer Value Matrix (CVM) model, etc.
应用推荐