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...
Autores: | , , |
---|---|
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 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/workingPaper |
format |
workingPaper |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/11354/1825 |
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 |
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eng |
dc.relation.ispartofseries.none.fl_str_mv |
Documento de discusión;DD1620 |
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info:eu-repo/semantics/openAccess |
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openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.es_PE.fl_str_mv |
Universidad del Pacífico. Centro de Investigación |
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PE |
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Repositorio de la Universidad del Pacífico - UP Universidad del Pacífico |
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Núñez del Prado, MiguelLuna, AnaGauthier, Romain2017-10-17T21:30:42Z2017-10-17T21:30:42Z2016http://hdl.handle.net/11354/1825Núñez 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/11354/1825Mobile 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. 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