Telecom Customer Segmentation with K-means Clustering

被引：0

作者：

Luo Ye ^{[1
]}

Cai Qiu-ru ^{[1
]}

Xi Hai-xu ^{[1
]}

Liu Yi-jun ^{[1
]}

Yu Zhi-min ^{[1
]}

机构：

[1] Jiangsu Teachers Univ Technol, Sch Comp Engn, Changzhou 213001, Jiangsu, Peoples R China

来源：

PROCEEDINGS OF 2012 7TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE & EDUCATION, VOLS I-VI | 2012年

关键词：

Telecom; Customer segmentation; K-means clustering; KXEN software;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

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. Using K-means clustering and the commercial automatic data mining too! KXEN, the paper proposes a resolution of customer segmentation for Changzhou telecom in Jiangsu province. Results show that the resolution is effective and successful.

引用

页码：648 / 651

页数：4

共 9 条

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[2]

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[3]

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[7]

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[9]

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