Towards a framework for knowledge discovery: an architecture for distributed inductive databases

Autores
Bruin, Jeroen S. de; Kok, Joost
Año de publicación
2006
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
We discuss how data mining, patternbases and databases can be integrated into inductive databases, which make data mining an inductive query process. We propose a software architecture for such inductive databases, and extend this architecture to support the clustering of inductive databases and to make them suitable for data mining on the grid.
Applications in Artificial Intelligence - Knowledge Discovery
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
Software Architectures
Data mining
Clustering
Distributed databases
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:10915/24216

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spelling Towards a framework for knowledge discovery: an architecture for distributed inductive databasesBruin, Jeroen S. deKok, JoostCiencias InformáticasSoftware ArchitecturesData miningClusteringDistributed databasesWe discuss how data mining, patternbases and databases can be integrated into inductive databases, which make data mining an inductive query process. We propose a software architecture for such inductive databases, and extend this architecture to support the clustering of inductive databases and to make them suitable for data mining on the grid.Applications in Artificial Intelligence - Knowledge DiscoveryRed de Universidades con Carreras en Informática (RedUNCI)2006-08info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/24216enginfo:eu-repo/semantics/altIdentifier/isbn/0-387-34655-4info: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:UNLP2025-09-29T10:55:46Zoai:sedici.unlp.edu.ar:10915/24216Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 10:55:46.293SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Towards a framework for knowledge discovery: an architecture for distributed inductive databases
title Towards a framework for knowledge discovery: an architecture for distributed inductive databases
spellingShingle Towards a framework for knowledge discovery: an architecture for distributed inductive databases
Bruin, Jeroen S. de
Ciencias Informáticas
Software Architectures
Data mining
Clustering
Distributed databases
title_short Towards a framework for knowledge discovery: an architecture for distributed inductive databases
title_full Towards a framework for knowledge discovery: an architecture for distributed inductive databases
title_fullStr Towards a framework for knowledge discovery: an architecture for distributed inductive databases
title_full_unstemmed Towards a framework for knowledge discovery: an architecture for distributed inductive databases
title_sort Towards a framework for knowledge discovery: an architecture for distributed inductive databases
dc.creator.none.fl_str_mv Bruin, Jeroen S. de
Kok, Joost
author Bruin, Jeroen S. de
author_facet Bruin, Jeroen S. de
Kok, Joost
author_role author
author2 Kok, Joost
author2_role author
dc.subject.none.fl_str_mv Ciencias Informáticas
Software Architectures
Data mining
Clustering
Distributed databases
topic Ciencias Informáticas
Software Architectures
Data mining
Clustering
Distributed databases
dc.description.none.fl_txt_mv We discuss how data mining, patternbases and databases can be integrated into inductive databases, which make data mining an inductive query process. We propose a software architecture for such inductive databases, and extend this architecture to support the clustering of inductive databases and to make them suitable for data mining on the grid.
Applications in Artificial Intelligence - Knowledge Discovery
Red de Universidades con Carreras en Informática (RedUNCI)
description We discuss how data mining, patternbases and databases can be integrated into inductive databases, which make data mining an inductive query process. We propose a software architecture for such inductive databases, and extend this architecture to support the clustering of inductive databases and to make them suitable for data mining on the grid.
publishDate 2006
dc.date.none.fl_str_mv 2006-08
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
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dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/24216
url http://sedici.unlp.edu.ar/handle/10915/24216
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/isbn/0-387-34655-4
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
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Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
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