Detecting unusual changes of users consumption

Autores
Britos, Paola Verónica; Grosser, Hernán; Rodríguez, Darío; García Martínez, Ramón
Año de publicación
2008
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
The points being approached in this paper are: the problem of detecting unusual changes of consumption in mobile phone users, the corresponding building of data structures which represent the recent and historic users' behavior bearing in mind the information included in a call, and the complexity of the construction of a function with so many variables where the parameterization is not always known.
Facultad de Informática
Materia
Ciencias Informáticas
User interface programming
Mobile phones
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/83025

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spelling Detecting unusual changes of users consumptionBritos, Paola VerónicaGrosser, HernánRodríguez, DaríoGarcía Martínez, RamónCiencias InformáticasUser interface programmingMobile phonesThe points being approached in this paper are: the problem of detecting unusual changes of consumption in mobile phone users, the corresponding building of data structures which represent the recent and historic users' behavior bearing in mind the information included in a call, and the complexity of the construction of a function with so many variables where the parameterization is not always known.Facultad de Informática2008info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf297-306http://sedici.unlp.edu.ar/handle/10915/83025enginfo:eu-repo/semantics/altIdentifier/isbn/978-0-387-09695-7info:eu-repo/semantics/altIdentifier/doi/10.1007/978-0-387-09695-7_29info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:15:40Zoai:sedici.unlp.edu.ar:10915/83025Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:15:41.265SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Detecting unusual changes of users consumption
title Detecting unusual changes of users consumption
spellingShingle Detecting unusual changes of users consumption
Britos, Paola Verónica
Ciencias Informáticas
User interface programming
Mobile phones
title_short Detecting unusual changes of users consumption
title_full Detecting unusual changes of users consumption
title_fullStr Detecting unusual changes of users consumption
title_full_unstemmed Detecting unusual changes of users consumption
title_sort Detecting unusual changes of users consumption
dc.creator.none.fl_str_mv Britos, Paola Verónica
Grosser, Hernán
Rodríguez, Darío
García Martínez, Ramón
author Britos, Paola Verónica
author_facet Britos, Paola Verónica
Grosser, Hernán
Rodríguez, Darío
García Martínez, Ramón
author_role author
author2 Grosser, Hernán
Rodríguez, Darío
García Martínez, Ramón
author2_role author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
User interface programming
Mobile phones
topic Ciencias Informáticas
User interface programming
Mobile phones
dc.description.none.fl_txt_mv The points being approached in this paper are: the problem of detecting unusual changes of consumption in mobile phone users, the corresponding building of data structures which represent the recent and historic users' behavior bearing in mind the information included in a call, and the complexity of the construction of a function with so many variables where the parameterization is not always known.
Facultad de Informática
description The points being approached in this paper are: the problem of detecting unusual changes of consumption in mobile phone users, the corresponding building of data structures which represent the recent and historic users' behavior bearing in mind the information included in a call, and the complexity of the construction of a function with so many variables where the parameterization is not always known.
publishDate 2008
dc.date.none.fl_str_mv 2008
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info:eu-repo/semantics/publishedVersion
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status_str publishedVersion
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dc.language.none.fl_str_mv eng
language eng
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info:eu-repo/semantics/altIdentifier/doi/10.1007/978-0-387-09695-7_29
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
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