Toward a route detection method base on detail call records

Descripción del Articulo

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 accompl...

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Detalles Bibliográficos
Autores: Núñez del Prado, Miguel, Hendrikx, Hadrien
Formato: documento de trabajo
Fecha de Publicación:2016
Institución:Universidad del Pacífico
Repositorio:UP-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.up.edu.pe:11354/1824
Enlace del recurso:http://hdl.handle.net/11354/1824
Nivel de acceso:acceso abierto
Materia:Teléfonos inteligentes
APPs
Análisis cluster
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dc.title.es_PE.fl_str_mv Toward a route detection method base on detail call records
title Toward a route detection method base on detail call records
spellingShingle Toward a route detection method base on detail call records
Núñez del Prado, Miguel
Teléfonos inteligentes
APPs
Análisis cluster
title_short Toward a route detection method base on detail call records
title_full Toward a route detection method base on detail call records
title_fullStr Toward a route detection method base on detail call records
title_full_unstemmed Toward a route detection method base on detail call records
title_sort Toward a route detection method base on detail call records
author Núñez del Prado, Miguel
author_facet Núñez del Prado, Miguel
Hendrikx, Hadrien
author_role author
author2 Hendrikx, Hadrien
author2_role author
dc.contributor.author.fl_str_mv Núñez del Prado, Miguel
Hendrikx, Hadrien
dc.subject.es_PE.fl_str_mv Teléfonos inteligentes
APPs
Análisis cluster
topic Teléfonos inteligentes
APPs
Análisis cluster
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.
publishDate 2016
dc.date.accessioned.none.fl_str_mv 2017-10-17T21:16:21Z
dc.date.available.none.fl_str_mv 2017-10-17T21:16:21Z
dc.date.issued.fl_str_mv 2016
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dc.identifier.citation.es_PE.fl_str_mv Núñez 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/11354/1824
url http://hdl.handle.net/11354/1824
identifier_str_mv Núñez 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/11354/1824
dc.language.iso.none.fl_str_mv eng
language eng
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dc.publisher.es_PE.fl_str_mv Universidad del Pacífico. Centro de Investigación
dc.publisher.country.none.fl_str_mv PE
dc.source.es_PE.fl_str_mv Repositorio de la Universidad del Pacífico - UP
Universidad del Pacífico
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Toward a route detection method base on detail call records
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