Title :
Telecom customer segmentation based on cluster analysis
Author :
Qiuru, Cai ; Ye, Lua ; Haixu, Xi ; Yijun, Liu ; Guangping, Zhu
Author_Institution :
Sch. of Comput. Eng., Jiangsu Teachers Univ. of Technol., Changzhou, China
Abstract :
Telecom industry is a typical data-intensive industry where data mining applications will enable a good guidance on marketing strategies, and the cluster analysis can be used in customer segmentation. The paper makes a detailed and comprehensive analysis of classic K-means clustering algorithm, and proposes the modeling process for telecom customer segmentation according to the principle of the algorithm. A resolution of customer segmentation for the Changzhou telecom in Jiangsu province is proposed, and practical results show that the clustering technology based on the K-means method provides an effective and successful resolution of customer segmentation for Telecom, bringing services closer to the customers.
Keywords :
customer services; data mining; pattern clustering; telecommunication computing; Changzhou telecom; Jiangsu province; classic k-means clustering algorithm; cluster analysis; data mining applications; telecom customer segmentation; telecom industry; typical data-intensive industry; Market research; Telecommunications; Data mining; K-means clustering algorithm; Telecom industry; cluster analysis; customer segmentation;
Conference_Titel :
Computer Science and Information Processing (CSIP), 2012 International Conference on
Conference_Location :
Xi´an, Shaanxi
Print_ISBN :
978-1-4673-1410-7
DOI :
10.1109/CSIP.2012.6309069