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
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/22626
Ver los metadatos del registro completo
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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:UNLP2025-09-29T10:55:07Zoai: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:13292025-09-29 10:55:07.415SEDICI (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 |
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reponame:SEDICI (UNLP) instname:Universidad Nacional de La Plata instacron:UNLP |
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SEDICI (UNLP) |
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SEDICI (UNLP) |
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Universidad Nacional de La Plata |
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UNLP |
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UNLP |
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SEDICI (UNLP) - Universidad Nacional de La Plata |
repository.mail.fl_str_mv |
alira@sedici.unlp.edu.ar |
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score |
13.070432 |