Measuring churner influence on pre-paid subscribers using fuzzy logic

Núñez del Prado, Miguel

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dc.creator	Núñez del Prado, Miguel
dc.date	2016
dc.date.accessioned	2022-03-17T18:40:08Z
dc.date.available	2022-03-17T18:40:08Z
dc.identifier	http://hdl.handle.net/11354/1823
dc.identifier.uri	http://biblioteca-repositorio.clacso.edu.ar/handle/CLACSO/52364
dc.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
dc.format	application/pdf
dc.format	application/pdf
dc.language	eng
dc.publisher	Universidad del Pacífico. Centro de Investigación
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	Atribución-NoComercial-SinDerivadas 4.0 Internacional
dc.source	Repositorio de la Universidad del Pacífico - UP
dc.source	Universidad del Pacífico
dc.subject	Telefonía celular
dc.subject	Lógica difusa
dc.subject	Comportamiento del consumidor--Procesamiento de datos
dc.title	Measuring churner influence on pre-paid subscribers using fuzzy logic
dc.type	info:eu-repo/semantics/workingPaper