An Artificial Intelligence System to Predict Quality of Service in Banking Organizations

Detalhes bibliográficos
Autor(a) principal: Castelli, Mauro
Data de Publicação: 2016
Outros Autores: Manzoni, Luca, Popovič, Aleš
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://doi.org/10.1155/2016/9139380
Resumo: Castelli, M., Manzoni, L., & Popovič, A. (2016). An Artificial Intelligence System to Predict Quality of Service in Banking Organizations. Computational Intelligence And Neuroscience, 2016, [9139380]. https://doi.org/10.1155/2016/9139380
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spelling An Artificial Intelligence System to Predict Quality of Service in Banking OrganizationsComputer Science(all)Neuroscience(all)Mathematics(all)Castelli, M., Manzoni, L., & Popovič, A. (2016). An Artificial Intelligence System to Predict Quality of Service in Banking Organizations. Computational Intelligence And Neuroscience, 2016, [9139380]. https://doi.org/10.1155/2016/9139380Quality of service, that is, the waiting time that customers must endure in order to receive a service, is a critical performance aspect in private and public service organizations. Providing good service quality is particularly important in highly competitive sectors where similar services exist. In this paper, focusing on banking sector, we propose an artificial intelligence system for building a model for the prediction of service quality. While the traditional approach used for building analytical models relies on theories and assumptions about the problem at hand, we propose a novel approach for learning models from actual data. Thus, the proposed approach is not biased by the knowledge that experts may have about the problem, but it is completely based on the available data. The system is based on a recently defined variant of genetic programming that allows practitioners to include the concept of semantics in the search process. This will have beneficial effects on the search process and will produce analytical models that are based only on the data and not on domain-dependent knowledge.NOVA Information Management School (NOVA IMS)Information Management Research Center (MagIC) - NOVA Information Management SchoolRUNCastelli, MauroManzoni, LucaPopovič, Aleš2019-05-29T22:08:10Z2016-01-012016-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://doi.org/10.1155/2016/9139380eng1687-5265PURE: 13512570http://www.scopus.com/inward/record.url?scp=84975088472&partnerID=8YFLogxKhttps://doi.org/10.1155/2016/9139380info: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:RCAAP2024-03-11T04:33:36Zoai:run.unl.pt:10362/71191Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:35:11.372530Repositório 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 An Artificial Intelligence System to Predict Quality of Service in Banking Organizations
title An Artificial Intelligence System to Predict Quality of Service in Banking Organizations
spellingShingle An Artificial Intelligence System to Predict Quality of Service in Banking Organizations
Castelli, Mauro
Computer Science(all)
Neuroscience(all)
Mathematics(all)
title_short An Artificial Intelligence System to Predict Quality of Service in Banking Organizations
title_full An Artificial Intelligence System to Predict Quality of Service in Banking Organizations
title_fullStr An Artificial Intelligence System to Predict Quality of Service in Banking Organizations
title_full_unstemmed An Artificial Intelligence System to Predict Quality of Service in Banking Organizations
title_sort An Artificial Intelligence System to Predict Quality of Service in Banking Organizations
author Castelli, Mauro
author_facet Castelli, Mauro
Manzoni, Luca
Popovič, Aleš
author_role author
author2 Manzoni, Luca
Popovič, Aleš
author2_role author
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 Castelli, Mauro
Manzoni, Luca
Popovič, Aleš
dc.subject.por.fl_str_mv Computer Science(all)
Neuroscience(all)
Mathematics(all)
topic Computer Science(all)
Neuroscience(all)
Mathematics(all)
description Castelli, M., Manzoni, L., & Popovič, A. (2016). An Artificial Intelligence System to Predict Quality of Service in Banking Organizations. Computational Intelligence And Neuroscience, 2016, [9139380]. https://doi.org/10.1155/2016/9139380
publishDate 2016
dc.date.none.fl_str_mv 2016-01-01
2016-01-01T00:00:00Z
2019-05-29T22:08:10Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://doi.org/10.1155/2016/9139380
url https://doi.org/10.1155/2016/9139380
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1687-5265
PURE: 13512570
http://www.scopus.com/inward/record.url?scp=84975088472&partnerID=8YFLogxK
https://doi.org/10.1155/2016/9139380
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
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
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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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
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