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dc.contributor.authorNúñez del Prado, Miguel
dc.creatorNúñez del Prado, Miguel
dc.date.accessioned2017-10-17T20:56:05Z
dc.date.available2017-10-17T20:56:05Z
dc.date.issued2016
dc.identifier.urihttp://hdl.handle.net/11354/1823
dc.identifier.citationNúñez 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/11354/1823es_PE
dc.description.abstractIn 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 subscribersen
dc.formatapplication/pdfes_PE
dc.language.isoenges_PE
dc.publisherUniversidad del Pacífico. Centro de Investigaciónes_PE
dc.relation.ispartofseriesDocumento de discusión;DD1622
dc.rightsinfo:eu-repo/semantics/openAccesses_PE
dc.rightsAtribución-NoComercial-SinDerivadas 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.es*
dc.sourceRepositorio de la Universidad del Pacífico - UPes_PE
dc.sourceUniversidad del Pacíficoes_PE
dc.subjectTelefonía celulares_PE
dc.subjectLógica difusaes_PE
dc.subjectComportamiento del consumidor--Procesamiento de datoses_PE
dc.titleMeasuring churner influence on pre-paid subscribers using fuzzy logices_PE
dc.typeinfo:eu-repo/semantics/workingPaperes_PE
dc.publisher.countryPerúes_PE


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