[Editorial] Special issue on computational intelligence and nature-inspired algorithms for real-world data analytics and pattern recognition

Detalhes bibliográficos
Autor(a) principal: Cagnoni, Stefano
Data de Publicação: 2018
Outros Autores: Castelli, Mauro
Tipo de documento: Outros
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://doi.org/10.3390/a11030025
Resumo: Cagnoni, S., & Castelli, M. (2018). [Editorial]. Special issue on computational intelligence and nature-inspired algorithms for real-world data analytics and pattern recognition. Algorithms, 11(3), 1-2. DOI: 10.3390/a11030025
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spelling [Editorial] Special issue on computational intelligence and nature-inspired algorithms for real-world data analytics and pattern recognitionComputational intelligenceData analyticsNature-inspired algorithmsPattern recognitionTheoretical Computer ScienceNumerical AnalysisComputational Theory and MathematicsComputational MathematicsCagnoni, S., & Castelli, M. (2018). [Editorial]. Special issue on computational intelligence and nature-inspired algorithms for real-world data analytics and pattern recognition. Algorithms, 11(3), 1-2. DOI: 10.3390/a11030025This special issue of Algorithms is devoted to the study of Computational Intelligence and Nature-Inspired Algorithms for Real-World Data Analytics and Pattern Recognition. The special issue considered both theoretical contributions able to advance the state-of-the-art in this field and practical applications that describe novel approaches for solving real-world problems.NOVA Information Management School (NOVA IMS)Information Management Research Center (MagIC) - NOVA Information Management SchoolRUNCagnoni, StefanoCastelli, Mauro2018-04-02T22:17:42Z2018-03-012018-03-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/other2application/pdfhttps://doi.org/10.3390/a11030025eng1999-4893PURE: 3785524http://www.scopus.com/inward/record.url?scp=85044167732&partnerID=8YFLogxKhttps://doi.org/10.3390/a11030025info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-05-22T17:31:40Zoai:run.unl.pt:10362/33698Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-05-22T17:31:40Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv [Editorial] Special issue on computational intelligence and nature-inspired algorithms for real-world data analytics and pattern recognition
title [Editorial] Special issue on computational intelligence and nature-inspired algorithms for real-world data analytics and pattern recognition
spellingShingle [Editorial] Special issue on computational intelligence and nature-inspired algorithms for real-world data analytics and pattern recognition
Cagnoni, Stefano
Computational intelligence
Data analytics
Nature-inspired algorithms
Pattern recognition
Theoretical Computer Science
Numerical Analysis
Computational Theory and Mathematics
Computational Mathematics
title_short [Editorial] Special issue on computational intelligence and nature-inspired algorithms for real-world data analytics and pattern recognition
title_full [Editorial] Special issue on computational intelligence and nature-inspired algorithms for real-world data analytics and pattern recognition
title_fullStr [Editorial] Special issue on computational intelligence and nature-inspired algorithms for real-world data analytics and pattern recognition
title_full_unstemmed [Editorial] Special issue on computational intelligence and nature-inspired algorithms for real-world data analytics and pattern recognition
title_sort [Editorial] Special issue on computational intelligence and nature-inspired algorithms for real-world data analytics and pattern recognition
author Cagnoni, Stefano
author_facet Cagnoni, Stefano
Castelli, Mauro
author_role author
author2 Castelli, Mauro
author2_role author
dc.contributor.none.fl_str_mv NOVA Information Management School (NOVA IMS)
Information Management Research Center (MagIC) - NOVA Information Management School
RUN
dc.contributor.author.fl_str_mv Cagnoni, Stefano
Castelli, Mauro
dc.subject.por.fl_str_mv Computational intelligence
Data analytics
Nature-inspired algorithms
Pattern recognition
Theoretical Computer Science
Numerical Analysis
Computational Theory and Mathematics
Computational Mathematics
topic Computational intelligence
Data analytics
Nature-inspired algorithms
Pattern recognition
Theoretical Computer Science
Numerical Analysis
Computational Theory and Mathematics
Computational Mathematics
description Cagnoni, S., & Castelli, M. (2018). [Editorial]. Special issue on computational intelligence and nature-inspired algorithms for real-world data analytics and pattern recognition. Algorithms, 11(3), 1-2. DOI: 10.3390/a11030025
publishDate 2018
dc.date.none.fl_str_mv 2018-04-02T22:17:42Z
2018-03-01
2018-03-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/other
format other
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://doi.org/10.3390/a11030025
url https://doi.org/10.3390/a11030025
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1999-4893
PURE: 3785524
http://www.scopus.com/inward/record.url?scp=85044167732&partnerID=8YFLogxK
https://doi.org/10.3390/a11030025
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv mluisa.alvim@gmail.com
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