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

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 principales: Núñez del Prado, Miguel, Luna, Ana, Gauthier, Romain
Formato: Documento de trabajo
Lenguaje:Inglés
Publicado: Universidad del Pacífico. Centro de Investigación 2016
Materias:
Telecomunicaciones
Teléfonos celulares
Acceso en línea:http://hdl.handle.net/11354/1825
http://biblioteca.clacso.edu.ar/gsdl/cgi-bin/library.cgi?a=d&c=pe/pe-014&d=113541825oai
Aporte de:
Red de Bibliotecas Virtuales de Ciencias Sociales (CLACSO) de Consejo Latinoamericano de Ciencias Sociales
id I16-R122-113541825oai
record_format dspace
institution Consejo Latinoamericano de Ciencias Sociales
institution_str I-16
repository_str R-122
collection Red de Bibliotecas Virtuales de Ciencias Sociales (CLACSO)
language Inglés
topic Telecomunicaciones
Teléfonos celulares
spellingShingle Telecomunicaciones
Teléfonos celulares
Núñez del Prado, Miguel
Luna, Ana
Gauthier, Romain
DAZIO: detecting activity zones based on input/output call and SMS activity
topic_facet 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%.
format Documento de trabajo
Documento de trabajo
author Núñez del Prado, Miguel
Luna, Ana
Gauthier, Romain
author_facet Núñez del Prado, Miguel
Luna, Ana
Gauthier, Romain
author_sort Núñez del Prado, Miguel
title DAZIO: detecting activity zones based on input/output call and SMS activity
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
publisher Universidad del Pacífico. Centro de Investigación
publishDate 2016
url http://hdl.handle.net/11354/1825
http://biblioteca.clacso.edu.ar/gsdl/cgi-bin/library.cgi?a=d&c=pe/pe-014&d=113541825oai
work_keys_str_mv AT nunezdelpradomiguel daziodetectingactivityzonesbasedoninputoutputcallandsmsactivity
AT lunaana daziodetectingactivityzonesbasedoninputoutputcallandsmsactivity
AT gauthierromain daziodetectingactivityzonesbasedoninputoutputcallandsmsactivity
bdutipo_str Repositorios
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