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...

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Detalles Bibliográficos
Autor: Núñez del Prado, Miguel
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
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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
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eu_rights_str_mv openAccess
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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
dc.source.none.fl_str_mv reponame:UP-Institucional
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spelling 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. 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