Achieving an appropriate balance between precision, support, and comprehensibility in the evolution of classification rules

Autores
Carreño, Emiliano; Leguizamón, Guillermo
Año de publicación
2006
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
This article proposes a method for achieving an appropriate balance between the parameters of support, precision, and simplicity during the evolution of classification rules by means of genetic programming. The method includes an adaptive procedure in order to achieve such balance. This work lies within the data mining context, more precisely, it focuses on the extraction of comprehensible knowledge where the approach introduced plays a predominant role. Experimental results demonstrate the advantages of using the proposed method
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
Data mining
classification rules
ranking
genetic programming
comprehensible knowledge
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:10915/22626
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/22626
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Achieving an appropriate balance between precision, support, and comprehensibility in the evolution of classification rulesCarreño, EmilianoLeguizamón, GuillermoCiencias InformáticasData miningclassification rulesrankinggenetic programmingcomprehensible knowledgeThis article proposes a method for achieving an appropriate balance between the parameters of support, precision, and simplicity during the evolution of classification rules by means of genetic programming. The method includes an adaptive procedure in order to achieve such balance. This work lies within the data mining context, more precisely, it focuses on the extraction of comprehensible knowledge where the approach introduced plays a predominant role. Experimental results demonstrate the advantages of using the proposed methodRed de Universidades con Carreras en Informática (RedUNCI)2006-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf1175-1184http://sedici.unlp.edu.ar/handle/10915/22626enginfo: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:UNLP2025-10-22T16:36:41Zoai:sedici.unlp.edu.ar:10915/22626Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-22 16:36:41.944SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Achieving an appropriate balance between precision, support, and comprehensibility in the evolution of classification rules
title Achieving an appropriate balance between precision, support, and comprehensibility in the evolution of classification rules
spellingShingle Achieving an appropriate balance between precision, support, and comprehensibility in the evolution of classification rules
Carreño, Emiliano
Ciencias Informáticas
Data mining
classification rules
ranking
genetic programming
comprehensible knowledge
title_short Achieving an appropriate balance between precision, support, and comprehensibility in the evolution of classification rules
title_full Achieving an appropriate balance between precision, support, and comprehensibility in the evolution of classification rules
title_fullStr Achieving an appropriate balance between precision, support, and comprehensibility in the evolution of classification rules
title_full_unstemmed Achieving an appropriate balance between precision, support, and comprehensibility in the evolution of classification rules
title_sort Achieving an appropriate balance between precision, support, and comprehensibility in the evolution of classification rules
dc.creator.none.fl_str_mv Carreño, Emiliano
Leguizamón, Guillermo
author Carreño, Emiliano
author_facet Carreño, Emiliano
Leguizamón, Guillermo
author_role author
author2 Leguizamón, Guillermo
author2_role author
dc.subject.none.fl_str_mv Ciencias Informáticas
Data mining
classification rules
ranking
genetic programming
comprehensible knowledge
topic Ciencias Informáticas
Data mining
classification rules
ranking
genetic programming
comprehensible knowledge
dc.description.none.fl_txt_mv This article proposes a method for achieving an appropriate balance between the parameters of support, precision, and simplicity during the evolution of classification rules by means of genetic programming. The method includes an adaptive procedure in order to achieve such balance. This work lies within the data mining context, more precisely, it focuses on the extraction of comprehensible knowledge where the approach introduced plays a predominant role. Experimental results demonstrate the advantages of using the proposed method
Red de Universidades con Carreras en Informática (RedUNCI)
description This article proposes a method for achieving an appropriate balance between the parameters of support, precision, and simplicity during the evolution of classification rules by means of genetic programming. The method includes an adaptive procedure in order to achieve such balance. This work lies within the data mining context, more precisely, it focuses on the extraction of comprehensible knowledge where the approach introduced plays a predominant role. Experimental results demonstrate the advantages of using the proposed method
publishDate 2006
dc.date.none.fl_str_mv 2006-10
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/10915/22626
url http://sedici.unlp.edu.ar/handle/10915/22626
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
1175-1184
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
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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score 12.982451

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