How to solve it by knowledge mining

Autores
Sampaio, Pedro Rafael Falcone
Año de publicación
1995
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Frequently we become amazed with the increasing number of problems to be solved that fiourish while facing daily activities. Often, related to these problems we llave also an incredible amount oí data. Since we cannot allways afford time and resources to sol ve them, we keep on gathering and storing data in large databases, widening the gap between raw and interpreted data. At this point we should refiect about Polya's maxima "A great discovery solves a great problem" and realize that databases encompass the knowledge necessary for guiding the decision making process. The question that remains is how to organize and explore this knowledge. This paper presents sorne approaches to knowledge discovery in databases íound in the literature, analyzing issues in classifying and clustering large data sets.
Eje: 2do. Workshop sobre aspectos teóricos de la inteligencia artificial
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
Knowledge Mining
ARTIFICIAL INTELLIGENCE
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:10915/24323
Acceder
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network_name_str SEDICI (UNLP)
spelling How to solve it by knowledge miningSampaio, Pedro Rafael FalconeCiencias InformáticasKnowledge MiningARTIFICIAL INTELLIGENCEFrequently we become amazed with the increasing number of problems to be solved that fiourish while facing daily activities. Often, related to these problems we llave also an incredible amount oí data. Since we cannot allways afford time and resources to sol ve them, we keep on gathering and storing data in large databases, widening the gap between raw and interpreted data. At this point we should refiect about Polya's maxima "A great discovery solves a great problem" and realize that databases encompass the knowledge necessary for guiding the decision making process. The question that remains is how to organize and explore this knowledge. This paper presents sorne approaches to knowledge discovery in databases íound in the literature, analyzing issues in classifying and clustering large data sets.Eje: 2do. Workshop sobre aspectos teóricos de la inteligencia artificialRed de Universidades con Carreras en Informática (RedUNCI)1995-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf438-449http://sedici.unlp.edu.ar/handle/10915/24323enginfo: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:UNLP2025-09-29T10:55:49Zoai:sedici.unlp.edu.ar:10915/24323Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 10:55:50.214SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv How to solve it by knowledge mining
title How to solve it by knowledge mining
spellingShingle How to solve it by knowledge mining
Sampaio, Pedro Rafael Falcone
Ciencias Informáticas
Knowledge Mining
ARTIFICIAL INTELLIGENCE
title_short How to solve it by knowledge mining
title_full How to solve it by knowledge mining
title_fullStr How to solve it by knowledge mining
title_full_unstemmed How to solve it by knowledge mining
title_sort How to solve it by knowledge mining
dc.creator.none.fl_str_mv Sampaio, Pedro Rafael Falcone
author Sampaio, Pedro Rafael Falcone
author_facet Sampaio, Pedro Rafael Falcone
author_role author
dc.subject.none.fl_str_mv Ciencias Informáticas
Knowledge Mining
ARTIFICIAL INTELLIGENCE
topic Ciencias Informáticas
Knowledge Mining
ARTIFICIAL INTELLIGENCE
dc.description.none.fl_txt_mv Frequently we become amazed with the increasing number of problems to be solved that fiourish while facing daily activities. Often, related to these problems we llave also an incredible amount oí data. Since we cannot allways afford time and resources to sol ve them, we keep on gathering and storing data in large databases, widening the gap between raw and interpreted data. At this point we should refiect about Polya's maxima "A great discovery solves a great problem" and realize that databases encompass the knowledge necessary for guiding the decision making process. The question that remains is how to organize and explore this knowledge. This paper presents sorne approaches to knowledge discovery in databases íound in the literature, analyzing issues in classifying and clustering large data sets.
Eje: 2do. Workshop sobre aspectos teóricos de la inteligencia artificial
Red de Universidades con Carreras en Informática (RedUNCI)
description Frequently we become amazed with the increasing number of problems to be solved that fiourish while facing daily activities. Often, related to these problems we llave also an incredible amount oí data. Since we cannot allways afford time and resources to sol ve them, we keep on gathering and storing data in large databases, widening the gap between raw and interpreted data. At this point we should refiect about Polya's maxima "A great discovery solves a great problem" and realize that databases encompass the knowledge necessary for guiding the decision making process. The question that remains is how to organize and explore this knowledge. This paper presents sorne approaches to knowledge discovery in databases íound in the literature, analyzing issues in classifying and clustering large data sets.
publishDate 1995
dc.date.none.fl_str_mv 1995-10
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
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status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/24323
url http://sedici.unlp.edu.ar/handle/10915/24323
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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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
438-449
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instname:Universidad Nacional de La Plata
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instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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