- Tytuł:
- Application of Social Network Inferred Data to Churn Modeling in Telecoms
- Autorzy:
-
Gruszczyński, W.
Arabas, P. - Powiązania:
- https://bibliotekanauki.pl/articles/308695.pdf
- Data publikacji:
- 2016
- Wydawca:
- Instytut Łączności - Państwowy Instytut Badawczy
- Tematy:
-
churn reduction
classification
social networks - Opis:
- 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.
- Źródło:
-
Journal of Telecommunications and Information Technology; 2016, 2; 77-86
1509-4553
1899-8852 - Pojawia się w:
- Journal of Telecommunications and Information Technology
- Dostawca treści:
- Biblioteka Nauki
Artykuł