Article Title

Mobile Customer Clustering Analysis Based on Call Detail Records

Authors

Qining Lin, Economics and Management School Beijing University of Posts and Telecommunications

Abstract

Competition in the mobile telecommunications industry is becoming more and more fierce. In order to improve mobile operator’s competitiveness and customer value, several data mining technologies can be used. One of the most important data mining technologies is customer clustering analysis. This targeting practice has been proven manageable and effective for mobile telecommunications industry. Most telecommunications carriers cluster their mobile customers by billing system data. This paper discusses how to cluster mobile customers based on their call detail records and analyze their consumer behaviors. Finally, an application of a mobile customer clustering analysis is given in this paper.

Recommended Citation

Lin, Qining (2007) "Mobile Customer Clustering Analysis Based on Call Detail Records," Communications of the IIMA: Vol. 7: Iss. 4, Article 11.
DOI: https://doi.org/10.58729/1941-6687.1062
Available at: https://scholarworks.lib.csusb.edu/ciima/vol7/iss4/11