Telecom customer segmentation with K-means clustering

Ye Luo · Cai Qiuru · Haixu Xi · Yijun Liu · Yu Zhimin

19 citations0/0 files storedInternational Conference on Computer Science & Education (ICCSE)

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Customer churn and segmentation Advanced Clustering Algorithms Research Data Mining and Machine Learning Applications

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

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