DAZIO: detecting activity zones based on input/output call and SMS activity

Descripción del Articulo

Mobile telecoms operators possess an enormous quantity of data, which could be used to reduce the cost of installing new infrastructure, to provide a better QoS or to plan their infrastructure. Thus, they are concerned to model, understand and predict SMS and calls activity levels in their infrastru...

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Detalles Bibliográficos
Autores: Núñez del Prado, Miguel, Luna, Ana, Gauthier, Romain
Formato: documento de trabajo
Fecha de Publicación:2016
Institución:Universidad del Pacífico
Repositorio:UP-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.up.edu.pe:11354/1825
Enlace del recurso:http://hdl.handle.net/11354/1825
Nivel de acceso:acceso abierto
Materia:Telecomunicaciones
Teléfonos celulares
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dc.title.es_PE.fl_str_mv DAZIO: detecting activity zones based on input/output call and SMS activity
title DAZIO: detecting activity zones based on input/output call and SMS activity
spellingShingle DAZIO: detecting activity zones based on input/output call and SMS activity
Núñez del Prado, Miguel
Telecomunicaciones
Teléfonos celulares
title_short DAZIO: detecting activity zones based on input/output call and SMS activity
title_full DAZIO: detecting activity zones based on input/output call and SMS activity
title_fullStr DAZIO: detecting activity zones based on input/output call and SMS activity
title_full_unstemmed DAZIO: detecting activity zones based on input/output call and SMS activity
title_sort DAZIO: detecting activity zones based on input/output call and SMS activity
author Núñez del Prado, Miguel
author_facet Núñez del Prado, Miguel
Luna, Ana
Gauthier, Romain
author_role author
author2 Luna, Ana
Gauthier, Romain
author2_role author
author
dc.contributor.author.fl_str_mv Núñez del Prado, Miguel
Luna, Ana
Gauthier, Romain
dc.subject.es_PE.fl_str_mv Telecomunicaciones
Teléfonos celulares
topic Telecomunicaciones
Teléfonos celulares
description Mobile telecoms operators possess an enormous quantity of data, which could be used to reduce the cost of installing new infrastructure, to provide a better QoS or to plan their infrastructure. Thus, they are concerned to model, understand and predict SMS and calls activity levels in their infrastructures. Besides, SMS and call activities analysis can open new business opportunities for geomarketing as well as trade area analysis. In the present effort, we detected activity zones with a difference of only 0.5 km from the reference activity areas extracted from Geo-tweets. We also used Markov chains to represent and predict SMS and call activity levels, achieving a prediction success rate between 80% and 90%.
publishDate 2016
dc.date.accessioned.none.fl_str_mv 2017-10-17T21:30:42Z
dc.date.available.none.fl_str_mv 2017-10-17T21:30:42Z
dc.date.issued.fl_str_mv 2016
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dc.identifier.citation.es_PE.fl_str_mv Núñez del Prado, M., Luna, A., & Gauthier, R. (2016). DAZIO: detecting activity zones based on input/output call and SMS activity. Lima: Universidad del Pacífico, Centro de Investigación. Recuperado http://hdl.handle.net/11354/1825
url http://hdl.handle.net/11354/1825
identifier_str_mv Núñez del Prado, M., Luna, A., & Gauthier, R. (2016). DAZIO: detecting activity zones based on input/output call and SMS activity. Lima: Universidad del Pacífico, Centro de Investigación. Recuperado http://hdl.handle.net/11354/1825
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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