Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/114091
Full metadata record
DC FieldValueLanguage
dc.creatorCarlos Miguel Ferreira Alves
dc.date.accessioned2019-02-05T19:17:17Z-
dc.date.available2019-02-05T19:17:17Z-
dc.date.issued2018-07-20
dc.date.submitted2018-08-02
dc.identifier.othersigarra:277665
dc.identifier.urihttps://repositorio-aberto.up.pt/handle/10216/114091-
dc.language.isoeng
dc.rightsopenAccess
dc.subjectEngenharia electrotécnica, electrónica e informática
dc.subjectElectrical engineering, Electronic engineering, Information engineering
dc.titleDemand forecasting in a multi-specialty hospital setting: a comparative study of machine learning and classical statistical methods
dc.typeDissertação
dc.contributor.uportoFaculdade de Engenharia
dc.identifier.tid202113272
dc.subject.fosCiências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática
dc.subject.fosEngineering and technology::Electrical engineering, Electronic engineering, Information engineering
thesis.degree.disciplineMestrado Integrado em Engenharia Informática e Computação
thesis.degree.grantorFaculdade de Engenharia
thesis.degree.grantorUniversidade do Porto
thesis.degree.level1
Appears in Collections:FEUP - Dissertação

Files in This Item:
File Description SizeFormat 
277665.pdfDemand forecasting in a multi-specialty hospital setting: a comparative study of machine learning and classical statistical methods623.93 kBAdobe PDFThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.