Decision support system for seismic risks

Autores
Somodevilla, María J.; Nava, Angélica; Pineda, Ivo H.; Priego, Ángeles Belém; Castillo, Esteban
Año de publicación
2011
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
This paper focuses on prediction and prevention of seismic risk through a system for decision making. Data Warehousing and OLAP operations are applied, together with, data mining tools like association rules, decision trees and clustering to predict aspects such as location, time of year and/or earthquake magnitude, among others. The results of the data mining and data warehouse application help to confirm uncertainty about problems behavior in decision making, related to the prevention of seismic hazards
Presentado en el VIII Workshop Bases de Datos y Minería de Datos (WBDDM)
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
prevención antisísmica
Data mining
Sismos
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/18752

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spelling Decision support system for seismic risksSomodevilla, María J.Nava, AngélicaPineda, Ivo H.Priego, Ángeles BelémCastillo, EstebanCiencias Informáticasprevención antisísmicaData miningSismosThis paper focuses on prediction and prevention of seismic risk through a system for decision making. Data Warehousing and OLAP operations are applied, together with, data mining tools like association rules, decision trees and clustering to predict aspects such as location, time of year and/or earthquake magnitude, among others. The results of the data mining and data warehouse application help to confirm uncertainty about problems behavior in decision making, related to the prevention of seismic hazardsPresentado en el VIII Workshop Bases de Datos y Minería de Datos (WBDDM)Red de Universidades con Carreras en Informática (RedUNCI)2011-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf959-968http://sedici.unlp.edu.ar/handle/10915/18752enginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-15T10:46:14Zoai:sedici.unlp.edu.ar:10915/18752Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-15 10:46:14.838SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Decision support system for seismic risks
title Decision support system for seismic risks
spellingShingle Decision support system for seismic risks
Somodevilla, María J.
Ciencias Informáticas
prevención antisísmica
Data mining
Sismos
title_short Decision support system for seismic risks
title_full Decision support system for seismic risks
title_fullStr Decision support system for seismic risks
title_full_unstemmed Decision support system for seismic risks
title_sort Decision support system for seismic risks
dc.creator.none.fl_str_mv Somodevilla, María J.
Nava, Angélica
Pineda, Ivo H.
Priego, Ángeles Belém
Castillo, Esteban
author Somodevilla, María J.
author_facet Somodevilla, María J.
Nava, Angélica
Pineda, Ivo H.
Priego, Ángeles Belém
Castillo, Esteban
author_role author
author2 Nava, Angélica
Pineda, Ivo H.
Priego, Ángeles Belém
Castillo, Esteban
author2_role author
author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
prevención antisísmica
Data mining
Sismos
topic Ciencias Informáticas
prevención antisísmica
Data mining
Sismos
dc.description.none.fl_txt_mv This paper focuses on prediction and prevention of seismic risk through a system for decision making. Data Warehousing and OLAP operations are applied, together with, data mining tools like association rules, decision trees and clustering to predict aspects such as location, time of year and/or earthquake magnitude, among others. The results of the data mining and data warehouse application help to confirm uncertainty about problems behavior in decision making, related to the prevention of seismic hazards
Presentado en el VIII Workshop Bases de Datos y Minería de Datos (WBDDM)
Red de Universidades con Carreras en Informática (RedUNCI)
description This paper focuses on prediction and prevention of seismic risk through a system for decision making. Data Warehousing and OLAP operations are applied, together with, data mining tools like association rules, decision trees and clustering to predict aspects such as location, time of year and/or earthquake magnitude, among others. The results of the data mining and data warehouse application help to confirm uncertainty about problems behavior in decision making, related to the prevention of seismic hazards
publishDate 2011
dc.date.none.fl_str_mv 2011-10
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
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status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/18752
url http://sedici.unlp.edu.ar/handle/10915/18752
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
dc.format.none.fl_str_mv application/pdf
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