Measuring churner influence on pre-paid subscribers using fuzzy logic

In the last decades, mobile phones have become the major medium for communication between humans. The site effect is the loss of subscribers. Consequently, Telecoms operators invest in developing algorithms for quantifying the risk to churn and to influence other subscribers to churn. The objective...

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Detalles Bibliográficos
Autor principal: Núñez del Prado, Miguel
Formato: Documento de trabajo
Lenguaje:Inglés
Publicado: Universidad del Pacífico. Centro de Investigación 2016
Materias:
Telefonía celular
Lógica difusa
Comportamiento del consumidor > Procesamiento de datos
Acceso en línea:http://hdl.handle.net/11354/1823
http://biblioteca.clacso.edu.ar/gsdl/cgi-bin/library.cgi?a=d&c=pe/pe-014&d=113541823oai
Aporte de:
Red de Bibliotecas Virtuales de Ciencias Sociales (CLACSO) de Consejo Latinoamericano de Ciencias Sociales
id I16-R122-113541823oai
record_format dspace
institution Consejo Latinoamericano de Ciencias Sociales
institution_str I-16
repository_str R-122
collection Red de Bibliotecas Virtuales de Ciencias Sociales (CLACSO)
language Inglés
topic Telefonía celular
Lógica difusa
Comportamiento del consumidor--Procesamiento de datos
spellingShingle Telefonía celular
Lógica difusa
Comportamiento del consumidor--Procesamiento de datos
Núñez del Prado, Miguel
Measuring churner influence on pre-paid subscribers using fuzzy logic
topic_facet Telefonía celular
Lógica difusa
Comportamiento del consumidor--Procesamiento de datos
description In the last decades, mobile phones have become the major medium for communication between humans. The site effect is the loss of subscribers. Consequently, Telecoms operators invest in developing algorithms for quantifying the risk to churn and to influence other subscribers to churn. The objective is to prioritize the retention of subscribers in their network due to the cost of obtaining a new subscriber is four times more expensive than retaining subscribers. Hence, we use Extremely Random Forest to classify churners and non-churners obtaining a Lift value at 10% of 5.5. Then, we rely on graph-based measures such as Degree of Centrality and Page rank to measure emitted and received influence in the social network of the carrier. Our methodology allows summarising churn risk score, relying on a Fuzzy Logic system, combining the churn probability and the risk of the churner to leave the network with other subscribers
format Documento de trabajo
Documento de trabajo
author Núñez del Prado, Miguel
author_facet Núñez del Prado, Miguel
author_sort Núñez del Prado, Miguel
title Measuring churner influence on pre-paid subscribers using fuzzy logic
title_short Measuring churner influence on pre-paid subscribers using fuzzy logic
title_full Measuring churner influence on pre-paid subscribers using fuzzy logic
title_fullStr Measuring churner influence on pre-paid subscribers using fuzzy logic
title_full_unstemmed Measuring churner influence on pre-paid subscribers using fuzzy logic
title_sort measuring churner influence on pre-paid subscribers using fuzzy logic
publisher Universidad del Pacífico. Centro de Investigación
publishDate 2016
url http://hdl.handle.net/11354/1823
http://biblioteca.clacso.edu.ar/gsdl/cgi-bin/library.cgi?a=d&c=pe/pe-014&d=113541823oai
work_keys_str_mv AT nunezdelpradomiguel measuringchurnerinfluenceonprepaidsubscribersusingfuzzylogic
bdutipo_str Repositorios
_version_ 1764820417648787460

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