Toward a route detection method base on detail call records

dc.creator	Núñez del Prado, Miguel
dc.creator	Hendrikx, Hadrien
dc.date	2016
dc.date.accessioned	2022-03-17T18:39:52Z
dc.date.available	2022-03-17T18:39:52Z
dc.identifier	http://hdl.handle.net/11354/1824
dc.identifier.uri	http://biblioteca-repositorio.clacso.edu.ar/handle/CLACSO/52040
dc.description	In the last years, smartphones have become the major device for communication enabling Telco operators to capture subscribers’ whereabouts. This location information allows computing eostatistics to study transportation systems, traffic jams, origin-destination matrix, etc. The first task to accomplish the aforementioned objectives is to detect routes that people use to go from A to B. Thus, in the present effort, we propose a method to extract automatically routes from CDR data relying on clustering and community detection algorithms.
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	Teléfonos inteligentes
dc.subject	APPs
dc.subject	Análisis cluster
dc.title	Toward a route detection method base on detail call records
dc.type	info:eu-repo/semantics/workingPaper