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.
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。
Real telecom customer data were used for simulation and the experimental results show that the algorithm can solve customer segmentation problem effectively.
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.
目前，国内关于电信大客户市场细分的研究和实践都还处于探索阶段。
At present, internal research and practice about subdivision of telecom client market are at the stage of exploration.
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.
本文对电信产品生命周期管理模型进行了分析，并且运用数据挖掘的相关知识着重对模型中的客户细分和产品预演进行了研究。
The paper analyzes the model of TPLC management, and using the correlative knowledge of Data Mining researches emphatically the customer segmentation and the product forecast in the TPLC.
如何细分市场、客户群，将最合适的业务推销给最需要的客户，实现业务和客户的最佳匹配成为电信企业的重要课题。
How to classific the market and the customer, how to sell the most suitable business to the customers who most needed, Becomes the important topic of the telecommunication enterprise.
针对电信客户的有效细分问题，利用属性相似度度量思想，提出了一种面向复杂属性的聚类算法。
In order to divide the telecom customers effectively, a new clustering algorithm for complex attributes was proposed based on feature similarity measurement idea in this paper.
针对电信客户的有效细分问题，利用属性相似度度量思想，提出了一种面向复杂属性的聚类算法。
In order to divide the telecom customers effectively, a new clustering algorithm for complex attributes was proposed based on feature similarity measurement idea in this paper.
应用推荐