Utilizing an enhanced cellular automata model for data mining

Data mining deals with clustering and classifying large amounts of data, in order to discover new knowledge from the existent data by identifying correlations and relationships between various data-sets. Cellular automata have been used before for classification purposes. This paper presents a cellu...

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Detalles Bibliográficos
Autores: Adwan, Omar, Huneiti, Ammar, Ayyal Awwad, Aiman, Al Damari, Ibrahim, Ortega de la Puente, Alfonso, Abu Dalhoum, Abdel Latif, Alfonseca Moreno, Manuel
Tipo de recurso: artículo
Fecha de publicación:2013
País:España
Institución:Universidad Autónoma de Madrid
Repositorio:Biblos-e Archivo. Repositorio Institucional de la UAM
Idioma:inglés
OAI Identifier:oai:repositorio.uam.es:10486/666491
Acceso en línea:http://hdl.handle.net/10486/666491
Access Level:acceso abierto
Palabra clave:Cellular Automata
Clustering
Classification
Data Mining
Moore Neighborhood
Informática
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spelling Utilizing an enhanced cellular automata model for data miningAdwan, OmarHuneiti, AmmarAyyal Awwad, AimanAl Damari, IbrahimOrtega de la Puente, AlfonsoAbu Dalhoum, Abdel LatifAlfonseca Moreno, ManuelCellular AutomataClusteringClassificationData MiningMoore NeighborhoodInformáticaData mining deals with clustering and classifying large amounts of data, in order to discover new knowledge from the existent data by identifying correlations and relationships between various data-sets. Cellular automata have been used before for classification purposes. This paper presents a cellular automata enhanced classification algorithm for data mining. Experimental results show that the proposed enhancement gives better performance in terms of accuracy and execution time than previous work using cellular automata.Praise Worthy PrizeDepartamento de Ingeniería InformáticaEscuela Politécnica SuperiorLaboratorio de Tecnología Hombre-Computador (ING EPS-010)20132013-01-01research articlehttp://purl.org/coar/resource_type/c_2df8fbb1AMhttp://purl.org/coar/version/c_ab4af688f83e57aainfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10486/666491reponame:Biblos-e Archivo. Repositorio Institucional de la UAMinstname:Universidad Autónoma de MadridInglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:repositorio.uam.es:10486/6664912026-06-23T12:46:27Z
dc.title.none.fl_str_mv Utilizing an enhanced cellular automata model for data mining
title Utilizing an enhanced cellular automata model for data mining
spellingShingle Utilizing an enhanced cellular automata model for data mining
Adwan, Omar
Cellular Automata
Clustering
Classification
Data Mining
Moore Neighborhood
Informática
title_short Utilizing an enhanced cellular automata model for data mining
title_full Utilizing an enhanced cellular automata model for data mining
title_fullStr Utilizing an enhanced cellular automata model for data mining
title_full_unstemmed Utilizing an enhanced cellular automata model for data mining
title_sort Utilizing an enhanced cellular automata model for data mining
dc.creator.none.fl_str_mv Adwan, Omar
Huneiti, Ammar
Ayyal Awwad, Aiman
Al Damari, Ibrahim
Ortega de la Puente, Alfonso
Abu Dalhoum, Abdel Latif
Alfonseca Moreno, Manuel
author Adwan, Omar
author_facet Adwan, Omar
Huneiti, Ammar
Ayyal Awwad, Aiman
Al Damari, Ibrahim
Ortega de la Puente, Alfonso
Abu Dalhoum, Abdel Latif
Alfonseca Moreno, Manuel
author_role author
author2 Huneiti, Ammar
Ayyal Awwad, Aiman
Al Damari, Ibrahim
Ortega de la Puente, Alfonso
Abu Dalhoum, Abdel Latif
Alfonseca Moreno, Manuel
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Departamento de Ingeniería Informática
Escuela Politécnica Superior
Laboratorio de Tecnología Hombre-Computador (ING EPS-010)
dc.subject.none.fl_str_mv Cellular Automata
Clustering
Classification
Data Mining
Moore Neighborhood
Informática
topic Cellular Automata
Clustering
Classification
Data Mining
Moore Neighborhood
Informática
description Data mining deals with clustering and classifying large amounts of data, in order to discover new knowledge from the existent data by identifying correlations and relationships between various data-sets. Cellular automata have been used before for classification purposes. This paper presents a cellular automata enhanced classification algorithm for data mining. Experimental results show that the proposed enhancement gives better performance in terms of accuracy and execution time than previous work using cellular automata.
publishDate 2013
dc.date.none.fl_str_mv 2013
2013-01-01
dc.type.none.fl_str_mv research article
http://purl.org/coar/resource_type/c_2df8fbb1
AM
http://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10486/666491
url http://hdl.handle.net/10486/666491
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Praise Worthy Prize
publisher.none.fl_str_mv Praise Worthy Prize
dc.source.none.fl_str_mv reponame:Biblos-e Archivo. Repositorio Institucional de la UAM
instname:Universidad Autónoma de Madrid
instname_str Universidad Autónoma de Madrid
reponame_str Biblos-e Archivo. Repositorio Institucional de la UAM
collection Biblos-e Archivo. Repositorio Institucional de la UAM
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.300724

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