A Method for Refining Knowledge Rules Using Exceptions

Autores
Prati, Ronaldo Cristiano; Monard, Maria Carolina; Carvalho, André C. P. L. F. de
Año de publicación
2004
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The search for patterns in data sets is a fundamental task in Data Mining, where Machine Learning algorithms are generally used. However, Machine Learning algorithms have biases that strengthen the classifica-tion task, not taking into consideration exceptions. Exceptions contra-dict common sense rules. They are generally unknown, unexpected and contradictory to the user believes. For this reason, exceptions may be interesting. In this work we propose a method to find exceptions out from common sense rules. Besides, we apply the proposed method in a real world data set, to discover rules and exceptions in the HIV virus protein cleavage process.
Sociedad Argentina de Informática e Investigación Operativa
Materia
Ciencias Informáticas
Data mining
Machine learning
Rule learning
Exception
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/135314
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/135314
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling A Method for Refining Knowledge Rules Using ExceptionsPrati, Ronaldo CristianoMonard, Maria CarolinaCarvalho, André C. P. L. F. deCiencias InformáticasData miningMachine learningRule learningExceptionThe search for patterns in data sets is a fundamental task in Data Mining, where Machine Learning algorithms are generally used. However, Machine Learning algorithms have biases that strengthen the classifica-tion task, not taking into consideration exceptions. Exceptions contra-dict common sense rules. They are generally unknown, unexpected and contradictory to the user believes. For this reason, exceptions may be interesting. In this work we propose a method to find exceptions out from common sense rules. Besides, we apply the proposed method in a real world data set, to discover rules and exceptions in the HIV virus protein cleavage process.Sociedad Argentina de Informática e Investigación Operativa2004-06-26info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf53-65http://sedici.unlp.edu.ar/handle/10915/135314enginfo:eu-repo/semantics/altIdentifier/url/https://publicaciones.sadio.org.ar/index.php/EJS/article/view/122info:eu-repo/semantics/altIdentifier/issn/1514-6774info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/Creative Commons Attribution 4.0 International (CC BY 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:34:01Zoai:sedici.unlp.edu.ar:10915/135314Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:34:01.701SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv A Method for Refining Knowledge Rules Using Exceptions
title A Method for Refining Knowledge Rules Using Exceptions
spellingShingle A Method for Refining Knowledge Rules Using Exceptions
Prati, Ronaldo Cristiano
Ciencias Informáticas
Data mining
Machine learning
Rule learning
Exception
title_short A Method for Refining Knowledge Rules Using Exceptions
title_full A Method for Refining Knowledge Rules Using Exceptions
title_fullStr A Method for Refining Knowledge Rules Using Exceptions
title_full_unstemmed A Method for Refining Knowledge Rules Using Exceptions
title_sort A Method for Refining Knowledge Rules Using Exceptions
dc.creator.none.fl_str_mv Prati, Ronaldo Cristiano
Monard, Maria Carolina
Carvalho, André C. P. L. F. de
author Prati, Ronaldo Cristiano
author_facet Prati, Ronaldo Cristiano
Monard, Maria Carolina
Carvalho, André C. P. L. F. de
author_role author
author2 Monard, Maria Carolina
Carvalho, André C. P. L. F. de
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Data mining
Machine learning
Rule learning
Exception
topic Ciencias Informáticas
Data mining
Machine learning
Rule learning
Exception
dc.description.none.fl_txt_mv The search for patterns in data sets is a fundamental task in Data Mining, where Machine Learning algorithms are generally used. However, Machine Learning algorithms have biases that strengthen the classifica-tion task, not taking into consideration exceptions. Exceptions contra-dict common sense rules. They are generally unknown, unexpected and contradictory to the user believes. For this reason, exceptions may be interesting. In this work we propose a method to find exceptions out from common sense rules. Besides, we apply the proposed method in a real world data set, to discover rules and exceptions in the HIV virus protein cleavage process.
Sociedad Argentina de Informática e Investigación Operativa
description The search for patterns in data sets is a fundamental task in Data Mining, where Machine Learning algorithms are generally used. However, Machine Learning algorithms have biases that strengthen the classifica-tion task, not taking into consideration exceptions. Exceptions contra-dict common sense rules. They are generally unknown, unexpected and contradictory to the user believes. For this reason, exceptions may be interesting. In this work we propose a method to find exceptions out from common sense rules. Besides, we apply the proposed method in a real world data set, to discover rules and exceptions in the HIV virus protein cleavage process.
publishDate 2004
dc.date.none.fl_str_mv 2004-06-26
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Articulo
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/135314
url http://sedici.unlp.edu.ar/handle/10915/135314
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://publicaciones.sadio.org.ar/index.php/EJS/article/view/122
info:eu-repo/semantics/altIdentifier/issn/1514-6774
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/4.0/
Creative Commons Attribution 4.0 International (CC BY 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
Creative Commons Attribution 4.0 International (CC BY 4.0)
dc.format.none.fl_str_mv application/pdf
53-65
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 13.070432

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