Clustering Analysis for Silent Telecom Customers Based on K-means plus

被引：0
|
作者：
Qiu, Yuhang [1 ]
Chen, Pingping [1 ]
Lin, Zhijian [1 ]
Yang, Yongcheng [2 ]
Zeng, Lanning [1 ]
Fan, Yaqi [1 ]
机构：
[1] Fuzhou Univ, Dept Elect Informat Engn, Fuzhou, Fujian, Peoples R China
[2] Jimei Univ, Dept Nav, Xiamen, Peoples R China
来源：
PROCEEDINGS OF 2020 IEEE 4TH INFORMATION TECHNOLOGY, NETWORKING, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (ITNEC 2020) | 2020年
关键词：
Silent customer; Customer segmentation; Telecom industry; Clustering; K-means plus;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Silent customers are part of customers that company is very easy to lose. It is necessary to analyze the features of such customers and make appropriate market decisions to improve the enterprise's revenue in telecom industry. This paper proposes a K-means-HF method for customer segmentation based on silent customers. Firstly, key variables to the segmentation model was screened out and then the original data was preprocessed. Secondly, silent customers were clustered and the Calinski-Harabasz index was adopted to verify the best clustering effect when k=6. At last, radar chart analysis and suggestions were given, which would provide data supports to the improvement of operation and maintenance management and decision-making of the precision marketing.
引用
收藏
页码：1023 / 1027
页数：5
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