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1)  customer segmentation
客户分群
1.
In this study,a resolution of customer segmentation for Changzhou Telecom in Jiangsu province is proposed based on the commercial automatic data mining tool KXEN.
其中,客户分群可以准确认识客户总体构成,使得服务和营销更具针对性。
2.
Customer segmentation is very important for Telecom to discover more commercial chances.
电信业是典型的数据密集行业,客户分群对电信企业发现更多的商机有重要作用。
2)  customer partitioning
客户分群
1.
Then the proposed algorithms are applied to a process of customer partitioning in telecommunication.
提出了两种聚类算法以及一种基于SOM聚类的数据挖掘过程,并将算法在电信客户分群中进行了应用。
3)  Customer Breakdown
客户群细分
4)  customers partition
客户群体划分
1.
This paper discusses the mechanism of customers partition and makes clear that the customers can be divided into three part:s:value - oriented,benefit - oriented and stochastic,Atlast,this paper points out that the customers partition can be realized byusing data mining technology according to the types and characters of customers partition.
深入探讨了客户群体划分的机理,指出客户群体可分为3类:价值取向型、利益驱动型及随机游荡型。
5)  customer group
客户群
1.
In this thesis, we use the methods of theoretical research and empirical research, to make research on the enterprise customer groups credit risks of our country s commercial bank.
本文采用理论研究和实证研究相结合的方法,对我国商业银行企业客户群的信用风险进行了研究。
6)  Customer Cluster
客户集群
1.
Study on CRM Model and Algorithm Based on Customer Cluster and Topological Theory;
基于客户集群和拓扑理论的CRM模型与算法研究
补充资料:Galois微分群


Galois微分群
Galois differential group

G.如妇微分群【C曲血成场,比血】沙佣p;ra刃a及。中巾ep-e.从砚~明rPynoa」 微分域(山吮代泊d习月eld)尸上的,与求导运算(见环中的导子(士石份tlon in a nng))可交换的且将尸的某个固定微分子域的元素保持不变的自同构所组成的群.月.A.众叩朋K。“撰【补注】正如G目015理论论述的是关于(解)代数方程那样,微分C司。is理论(different过Galoist扮泊ry)或微分域的Ga】015理论(Galoistheoryofdifl七rent坛16elds)是关于(解)代数微分方程的.关于微分C恤10坛理论的说明见微分域的扩张(extension of a di氏此ntial反ld)及其参考文献.
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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