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
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/18752
Ver los metadatos del registro completo
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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 info:ar-repo/semantics/documentoDeConferencia |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://sedici.unlp.edu.ar/handle/10915/18752 |
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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) |
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openAccess |
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http://creativecommons.org/licenses/by-nc-sa/2.5/ar/ Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) |
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application/pdf 959-968 |
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