A hotel's customers personal, behavioral, demographic, and geographic dataset from Lisbon, Portugal (2015–2018)

Detalhes bibliográficos
Autor(a) principal: António, Nuno
Data de Publicação: 2020
Outros Autores: de Almeida, Ana, Nunes, Luís
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/109144
Resumo: Antonio, N., de Almeida, A., & Nunes, L. (2020). A hotel's customers personal, behavioral, demographic, and geographic dataset from Lisbon, Portugal (2015–2018). Data in brief, 33(December), [106583]. https://doi.org/10.1016/j.dib.2020.106583
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spelling A hotel's customers personal, behavioral, demographic, and geographic dataset from Lisbon, Portugal (2015–2018)ClassificationClusteringData miningData scienceHospitalityMachine learningRegressionRFM modelingGeneralAntonio, N., de Almeida, A., & Nunes, L. (2020). A hotel's customers personal, behavioral, demographic, and geographic dataset from Lisbon, Portugal (2015–2018). Data in brief, 33(December), [106583]. https://doi.org/10.1016/j.dib.2020.106583This data article describes a hotel customer dataset with 31 variables describing a total of 83,590 instances (customers). It comprehends three full years of customer behavioral data. In addition to personal and behavioral information, the dataset also contains demographic and geographical information. This dataset contributes to reducing the lack of real-world business data that can be used for educational and research purposes. The dataset can be used in data mining, machine learning, and other analytical field problems in the scope of data science. Due to its unit of analysis, it is a dataset especially suitable for building customer segmentation models, including clustering and RFM (Recency, Frequency, and Monetary value) models, but also be used in classification and regression problems.Information Management Research Center (MagIC) - NOVA Information Management SchoolNOVA Information Management School (NOVA IMS)RUNAntónio, Nunode Almeida, AnaNunes, Luís2020-12-22T05:17:44Z2020-122020-12-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10362/109144eng2352-3409PURE: 26985644https://doi.org/10.1016/j.dib.2020.106583info: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:RCAAP2024-03-11T04:53:40Zoai:run.unl.pt:10362/109144Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:41:25.657370Repositório 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 A hotel's customers personal, behavioral, demographic, and geographic dataset from Lisbon, Portugal (2015–2018)
title A hotel's customers personal, behavioral, demographic, and geographic dataset from Lisbon, Portugal (2015–2018)
spellingShingle A hotel's customers personal, behavioral, demographic, and geographic dataset from Lisbon, Portugal (2015–2018)
António, Nuno
Classification
Clustering
Data mining
Data science
Hospitality
Machine learning
Regression
RFM modeling
General
title_short A hotel's customers personal, behavioral, demographic, and geographic dataset from Lisbon, Portugal (2015–2018)
title_full A hotel's customers personal, behavioral, demographic, and geographic dataset from Lisbon, Portugal (2015–2018)
title_fullStr A hotel's customers personal, behavioral, demographic, and geographic dataset from Lisbon, Portugal (2015–2018)
title_full_unstemmed A hotel's customers personal, behavioral, demographic, and geographic dataset from Lisbon, Portugal (2015–2018)
title_sort A hotel's customers personal, behavioral, demographic, and geographic dataset from Lisbon, Portugal (2015–2018)
author António, Nuno
author_facet António, Nuno
de Almeida, Ana
Nunes, Luís
author_role author
author2 de Almeida, Ana
Nunes, Luís
author2_role author
author
dc.contributor.none.fl_str_mv Information Management Research Center (MagIC) - NOVA Information Management School
NOVA Information Management School (NOVA IMS)
RUN
dc.contributor.author.fl_str_mv António, Nuno
de Almeida, Ana
Nunes, Luís
dc.subject.por.fl_str_mv Classification
Clustering
Data mining
Data science
Hospitality
Machine learning
Regression
RFM modeling
General
topic Classification
Clustering
Data mining
Data science
Hospitality
Machine learning
Regression
RFM modeling
General
description Antonio, N., de Almeida, A., & Nunes, L. (2020). A hotel's customers personal, behavioral, demographic, and geographic dataset from Lisbon, Portugal (2015–2018). Data in brief, 33(December), [106583]. https://doi.org/10.1016/j.dib.2020.106583
publishDate 2020
dc.date.none.fl_str_mv 2020-12-22T05:17:44Z
2020-12
2020-12-01T00:00:00Z
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 http://hdl.handle.net/10362/109144
url http://hdl.handle.net/10362/109144
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2352-3409
PURE: 26985644
https://doi.org/10.1016/j.dib.2020.106583
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
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
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