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dc.contributor.authorNúñez del Prado, Miguel
dc.contributor.authorHendrikx, Hadrien
dc.date.accessioned2017-10-17T21:16:21Z
dc.date.available2017-10-17T21:16:21Z
dc.date.issued2016
dc.identifier.urihttp://hdl.handle.net/11354/1824
dc.identifier.citationNúñez del Prado, M. & Hendrikx, H. (2016). Toward a route detection method base on detail call records. Lima: Universidad del Pacífico, Centro de Investigación. Recuperado http://hdl.handle.net/11354/1824es_PE
dc.description.abstractIn 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.en
dc.formatapplication/pdfes_PE
dc.language.isoenges_PE
dc.publisherUniversidad del Pacífico. Centro de Investigaciónes_PE
dc.relation.ispartofseriesDocumento de discusión;DD1619
dc.rightsinfo:eu-repo/semantics/openAccesses_PE
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.subjectTeléfonos inteligenteses_PE
dc.subjectAPPses_PE
dc.subjectAnálisis clusteres_PE
dc.titleToward a route detection method base on detail call recordses_PE
dc.typeinfo:eu-repo/semantics/workingPaperes_PE
dc.publisher.countryPEes_PE


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