OBLIC: Classification System Using Evolutionary Algorithm

We present a new classification system based on Evolutionary Algorithm (EA), OBLIC. This tool is an OBLIque Classification system whose function is to induce a set of classification rules no hierarchical from a database or training set. The core of the algorithm is a EA with real-coded and Pittsburg...

Descripción completa

Detalles Bibliográficos
Autores: Alvarez Macías, José Luis, Mata Vázquez, Jacinto, Riquelme Santos, José Cristóbal
Tipo de recurso: capítulo de libro
Estado:Versión publicada
Fecha de publicación:2001
País:España
Institución:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/39142
Acceso en línea:http://hdl.handle.net/11441/39142
https://doi.org/10.1007/3-540-45723-2_78
Access Level:acceso abierto
Palabra clave:Artificial Intelligence (incl. Robotics)
Computation by Abstract Devices
Algorithm Analysis and Problem Complexity
Neurosciences
Neurology
Computer Appl. in Life Sciences
id ES_e11264a826dfd71af63a3c703e5585ee
oai_identifier_str oai:idus.us.es:11441/39142
network_acronym_str ES
network_name_str España
repository_id_str
spelling OBLIC: Classification System Using Evolutionary AlgorithmAlvarez Macías, José LuisMata Vázquez, JacintoRiquelme Santos, José CristóbalArtificial Intelligence (incl. Robotics)Computation by Abstract DevicesAlgorithm Analysis and Problem ComplexityNeurosciencesNeurologyComputer Appl. in Life SciencesWe present a new classification system based on Evolutionary Algorithm (EA), OBLIC. This tool is an OBLIque Classification system whose function is to induce a set of classification rules no hierarchical from a database or training set. The core of the algorithm is a EA with real-coded and Pittsburgh approach. Each individual is composed by a no fixed classification rules set what split in regions the search space. The fitness of each classification is obtained by means of the exploration of these regions. The result of the tool is the best classification obtained in the evolutionary process.Lenguajes y Sistemas Informáticos2001info:eu-repo/semantics/bookPartinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/11441/39142https://doi.org/10.1007/3-540-45723-2_78reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésBio-Inspired Applications of Connectionism, Lecture Notes in Computer Science, Volume 2085, pp 644-651 (2001)info:eu-repo/semantics/openAccessoai:idus.us.es:11441/391422026-06-17T12:51:07Z
dc.title.none.fl_str_mv OBLIC: Classification System Using Evolutionary Algorithm
title OBLIC: Classification System Using Evolutionary Algorithm
spellingShingle OBLIC: Classification System Using Evolutionary Algorithm
Alvarez Macías, José Luis
Artificial Intelligence (incl. Robotics)
Computation by Abstract Devices
Algorithm Analysis and Problem Complexity
Neurosciences
Neurology
Computer Appl. in Life Sciences
title_short OBLIC: Classification System Using Evolutionary Algorithm
title_full OBLIC: Classification System Using Evolutionary Algorithm
title_fullStr OBLIC: Classification System Using Evolutionary Algorithm
title_full_unstemmed OBLIC: Classification System Using Evolutionary Algorithm
title_sort OBLIC: Classification System Using Evolutionary Algorithm
dc.creator.none.fl_str_mv Alvarez Macías, José Luis
Mata Vázquez, Jacinto
Riquelme Santos, José Cristóbal
author Alvarez Macías, José Luis
author_facet Alvarez Macías, José Luis
Mata Vázquez, Jacinto
Riquelme Santos, José Cristóbal
author_role author
author2 Mata Vázquez, Jacinto
Riquelme Santos, José Cristóbal
author2_role author
author
dc.contributor.none.fl_str_mv Lenguajes y Sistemas Informáticos
dc.subject.none.fl_str_mv Artificial Intelligence (incl. Robotics)
Computation by Abstract Devices
Algorithm Analysis and Problem Complexity
Neurosciences
Neurology
Computer Appl. in Life Sciences
topic Artificial Intelligence (incl. Robotics)
Computation by Abstract Devices
Algorithm Analysis and Problem Complexity
Neurosciences
Neurology
Computer Appl. in Life Sciences
description We present a new classification system based on Evolutionary Algorithm (EA), OBLIC. This tool is an OBLIque Classification system whose function is to induce a set of classification rules no hierarchical from a database or training set. The core of the algorithm is a EA with real-coded and Pittsburgh approach. Each individual is composed by a no fixed classification rules set what split in regions the search space. The fitness of each classification is obtained by means of the exploration of these regions. The result of the tool is the best classification obtained in the evolutionary process.
publishDate 2001
dc.date.none.fl_str_mv 2001
dc.type.none.fl_str_mv info:eu-repo/semantics/bookPart
info:eu-repo/semantics/publishedVersion
format bookPart
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11441/39142
https://doi.org/10.1007/3-540-45723-2_78
url http://hdl.handle.net/11441/39142
https://doi.org/10.1007/3-540-45723-2_78
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Bio-Inspired Applications of Connectionism, Lecture Notes in Computer Science, Volume 2085, pp 644-651 (2001)
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.source.none.fl_str_mv reponame:idUS. Depósito de Investigación de la Universidad de Sevilla
instname:Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
collection idUS. Depósito de Investigación de la Universidad de Sevilla
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869422259612942336
score 15,300719