Forecasting Movie Box Office Profitability

Detalhes bibliográficos
Autor(a) principal: Galvão, Marta
Data de Publicação: 2018
Outros Autores: Henriques, Roberto
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://doi.org/10.20897/jisem/2658
Resumo: Galvão, M., & Henriques, R. (2018). Forecasting Movie Box Office Profitability. Journal of Information Systems Engineering & Management, 3(3), 1-9. [22]. DOI: 10.20897/jisem/2658
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spelling Forecasting Movie Box Office ProfitabilityData miningMovie profitabilityBox office profitPredictive analysisNeural networksDecision treeRegressionGalvão, M., & Henriques, R. (2018). Forecasting Movie Box Office Profitability. Journal of Information Systems Engineering & Management, 3(3), 1-9. [22]. DOI: 10.20897/jisem/2658This study intends to estimate the profit of a movie through the construction of a predictive model that uses several Data Mining techniques, namely neural networks, regression and decision trees. The model will allow obtaining the prediction of box office revenue. Three different dependent variable approaches were used (interval, categorical and binary) aiming to study the difference and predictive influence that each one has on the results. Two metrics were used to determine the most accurate predictions: the misclassification error for the categorical models and the average squared error for the continuous one. In this study, the best predictive results were obtained through the use of multi-layer perceptron. Regarding the representative distinction between the dependent variable, the multiclass model presents a much higher error rate comparing to the remaining ones, which is explained with the increase of the number of classes to predict.NOVA Information Management School (NOVA IMS)Information Management Research Center (MagIC) - NOVA Information Management SchoolRUNGalvão, MartaHenriques, Roberto2018-07-30T22:09:37Z2018-07-162018-07-16T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article9application/pdfhttps://doi.org/10.20897/jisem/2658eng2468-4376PURE: 5631705http://www.lectitopublishing.nl/Article/Detail/forecasting-movie-box-office-profitabilityhttps://doi.org/10.20897/jisem/2658info: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:RCAAP2024-03-11T04:23:02Zoai:run.unl.pt:10362/42886Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:31:32.334879Repositório 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 Forecasting Movie Box Office Profitability
title Forecasting Movie Box Office Profitability
spellingShingle Forecasting Movie Box Office Profitability
Galvão, Marta
Data mining
Movie profitability
Box office profit
Predictive analysis
Neural networks
Decision tree
Regression
title_short Forecasting Movie Box Office Profitability
title_full Forecasting Movie Box Office Profitability
title_fullStr Forecasting Movie Box Office Profitability
title_full_unstemmed Forecasting Movie Box Office Profitability
title_sort Forecasting Movie Box Office Profitability
author Galvão, Marta
author_facet Galvão, Marta
Henriques, Roberto
author_role author
author2 Henriques, Roberto
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 Galvão, Marta
Henriques, Roberto
dc.subject.por.fl_str_mv Data mining
Movie profitability
Box office profit
Predictive analysis
Neural networks
Decision tree
Regression
topic Data mining
Movie profitability
Box office profit
Predictive analysis
Neural networks
Decision tree
Regression
description Galvão, M., & Henriques, R. (2018). Forecasting Movie Box Office Profitability. Journal of Information Systems Engineering & Management, 3(3), 1-9. [22]. DOI: 10.20897/jisem/2658
publishDate 2018
dc.date.none.fl_str_mv 2018-07-30T22:09:37Z
2018-07-16
2018-07-16T00:00:00Z
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 https://doi.org/10.20897/jisem/2658
url https://doi.org/10.20897/jisem/2658
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2468-4376
PURE: 5631705
http://www.lectitopublishing.nl/Article/Detail/forecasting-movie-box-office-profitability
https://doi.org/10.20897/jisem/2658
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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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
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