Application of Social Network Inferred Data to Churn Modeling in Telecoms-Reference-Cited by-同舟云学术

Application of Social Network Inferred Data to Churn Modeling in Telecoms

Published:2016-06-30 Issue:2016 Volume:2 Page:77-86
ISSN:1509-4553
Container-title:Journal of Telecommunications and Information Technology
language:
Short-container-title:JTIT

Author:

Gruszczyński Witold

Abstract

The subject of this work is the use of social network analysis to increase the effectiveness of methods used to predict churn of telephony network subscribers. The social network is created on the basis of operational data (CDR records). The result of the analysis is customer segmentation and additional predictor variables. Proposed hybrid predictor employs set of regression models tuned to specific customer segments. The verification was performed on data obtained from one of the Polish operators.

Publisher

National Institute of Telecommunications

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