Measuring churner influence on pre-paid subscribers using fuzzy logic
Descripción del Articulo
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...
Autor: | |
---|---|
Formato: | documento de trabajo |
Fecha de Publicación: | 2016 |
Institución: | Universidad del Pacífico |
Repositorio: | UP-Institucional |
Lenguaje: | inglés |
OAI Identifier: | oai:repositorio.up.edu.pe:11354/1823 |
Enlace del recurso: | http://hdl.handle.net/11354/1823 |
Nivel de acceso: | acceso abierto |
Materia: | Telefonía celular Lógica difusa Comportamiento del consumidor--Procesamiento de datos |
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dc.title.es_PE.fl_str_mv |
Measuring churner influence on pre-paid subscribers using fuzzy logic |
title |
Measuring churner influence on pre-paid subscribers using fuzzy logic |
spellingShingle |
Measuring churner influence on pre-paid subscribers using fuzzy logic Núñez del Prado, Miguel Telefonía celular Lógica difusa Comportamiento del consumidor--Procesamiento de datos |
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 |
author |
Núñez del Prado, Miguel |
author_facet |
Núñez del Prado, Miguel |
author_role |
author |
dc.contributor.author.fl_str_mv |
Núñez del Prado, Miguel |
dc.subject.es_PE.fl_str_mv |
Telefonía celular Lógica difusa Comportamiento del consumidor--Procesamiento de datos |
topic |
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 |
publishDate |
2016 |
dc.date.accessioned.none.fl_str_mv |
2017-10-17T20:56:05Z |
dc.date.available.none.fl_str_mv |
2017-10-17T20:56:05Z |
dc.date.issued.fl_str_mv |
2016 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/workingPaper |
format |
workingPaper |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/11354/1823 |
dc.identifier.citation.es_PE.fl_str_mv |
Núñez del Prado, M. (2016). Measuring churner influence on pre-paid subscribers using fuzzy logic. Lima: Universidad del Pacífico, Centro de Investigación. Recuperado de http://hdl.handle.net/11354/1823 |
url |
http://hdl.handle.net/11354/1823 |
identifier_str_mv |
Núñez del Prado, M. (2016). Measuring churner influence on pre-paid subscribers using fuzzy logic. Lima: Universidad del Pacífico, Centro de Investigación. Recuperado de http://hdl.handle.net/11354/1823 |
dc.language.iso.none.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartofseries.none.fl_str_mv |
Documento de discusión;DD1622 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.es_PE.fl_str_mv |
Universidad del Pacífico. Centro de Investigación |
dc.publisher.country.none.fl_str_mv |
PE |
dc.source.es_PE.fl_str_mv |
Repositorio de la Universidad del Pacífico - UP Universidad del Pacífico |
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reponame:UP-Institucional instname:Universidad del Pacífico instacron:UP |
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Universidad del Pacífico |
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UP |
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UP |
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UP-Institucional |
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UP-Institucional |
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Núñez del Prado, Miguel2017-10-17T20:56:05Z2017-10-17T20:56:05Z2016http://hdl.handle.net/11354/1823Núñez del Prado, M. (2016). Measuring churner influence on pre-paid subscribers using fuzzy logic. Lima: Universidad del Pacífico, Centro de Investigación. Recuperado de http://hdl.handle.net/11354/1823In 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 subscribersapplication/pdfengUniversidad del Pacífico. 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