Toward a route detection method base on detail call records

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Campo DC	Valor	Lengua/Idioma
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	-
Aparece en las colecciones:	Centro de Investigación - UP - CIUP - Cosecha

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