Ps22Pdf 关键词 : 并行聚类 ; 自适应 ; 微粒群优化 ; 电信客户细分 [gap=982]Key words: parallel cluster; adaptive; particle swarm optimization; telecom customer segmentation
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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.
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