| 基于K-means聚类的电信企业客户分群决策 |
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| 引用本文： | 蔡秋茹,柳益君,罗烨,朱广萍,叶飞跃.基于K-means聚类的电信企业客户分群决策[J].江南大学学报(自然科学版),2010,9(2):173-176. |
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| 作者姓名： | 蔡秋茹 柳益君 罗烨 朱广萍 叶飞跃 |
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| 作者单位： | 江苏技术师范学院,计算机科学与工程学院,江苏,常州,213001 |
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| 基金项目： | 常州市“831工程”项目(KYZ062002);;江苏技术师范学院青年科研基金项目(KYY06074) |
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| 摘 要： | 数据挖掘应用开发对电信企业的发展有重要意义,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。以常州市电信企业为例,采用K-means聚类分析技术,利用商业数据挖掘自动化软件KXEN给出了一个电信客户分群的解决方案。实践表明,该方案是有效的。
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| 关 键 词： | 电信企业 客户分群 K-means聚类 KXEN软件 |
K-Means Clustering Based Decision-Making for Telecom Customer Segmentation |
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| CAI Qiu-ru,LIU Yi-jun,LUO Ye,ZHU Guang-ping,YE Fei-yue.K-Means Clustering Based Decision-Making for Telecom Customer Segmentation[J].Journal of Southern Yangtze University:Natural Science Edition,2010,9(2):173-176. |
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| Authors: | CAI Qiu-ru LIU Yi-jun LUO Ye ZHU Guang-ping YE Fei-yue |
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| Institution: | College of Computer Science and Engineering;Jiangsu Teachers University of Technology;Changzhou 213001;China |
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| Abstract: | Development of data mining application is very important for the telecommunication enterprise,which is a typical data-intensive industry.Customer segmentation can help analyze customer composition accurately and promote the quality of service and marketing.The paper proposes a resolution of customer segmentation for Changzhou telecom in Jiangsu province based on K-means clustering and the commercial automatic data mining tool KXEN.The results show that the resolution is effective and successful. |
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| Keywords: | telecom customer segmentation K-means clustering KXEN software |
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