Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/142857
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dc.creatorRodrigo Cardoso Miranda Santos
dc.date.accessioned2025-11-06T08:10:58Z-
dc.date.available2025-11-06T08:10:58Z-
dc.date.issued2022-07-22
dc.date.submitted2022-08-09
dc.identifier.othersigarra:572549
dc.identifier.urihttps://hdl.handle.net/10216/142857-
dc.language.isoeng
dc.rightsopenAccess
dc.subjectOutras ciências da engenharia e tecnologias
dc.subjectOther engineering and technologies
dc.titleTime Series Forecasting and Categorization: an Empirical Study on Intermittent and Lumpy Demand
dc.typeDissertação
dc.contributor.uportoFaculdade de Engenharia
dc.identifier.doi10.34626/5drv-s236
dc.identifier.tid203171900
dc.subject.fosCiências da engenharia e tecnologias::Outras ciências da engenharia e tecnologias
dc.subject.fosEngineering and technology::Other engineering and technologies
thesis.degree.disciplineMestrado em Engenharia e Gestão Industrial
thesis.degree.grantorFaculdade de Engenharia
thesis.degree.grantorUniversidade do Porto
thesis.degree.level1
rcaap.embargofctDetalhes do documento enviado poderão comprometer o posicionamento concorrencial da LTPlabs e dos seus clientes caso sejam publicados no futuro próximo.
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