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Title: Application of Social Network Inferred Data to Churn Modeling in Telecoms, Journal of Telecommunications and Information Technology, 2016, nr 2

Creator:

Arabas, Piotr ; Gruszczyński, Witold

Date:

2016, nr 2

Resource Type:

artykuł

Description:

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

Format:

application/pdf

Resource Identifier:

ISSN 1509-4553, on-line: ISSN 1899-8852 ; oai:bc.itl.waw.pl:1921

Source:

Journal of Telecommunications and Information Technology

Language:

ang

Rights Management:

Biblioteka Naukowa Instytutu Łączności

Subject and keywords:

social networks classification churn reduction

Object collections:

Last modified:

Feb 25, 2026

In our library since:

Oct 20, 2016

Number of object content hits:

91

All available object's versions:

https://ribes-54.man.poznan.pl/publication/2195

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Edition name Date
Gruszczyński, Witold; Arabas, Piotr, Application of Social Network Inferred Data to Churn Modeling in Telecoms, Journal of Telecommunications and Information Technology, 2016, nr 2 Feb 25, 2026

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