Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/105897
Full metadata record
DC FieldValueLanguage
dc.creatorNuno Miguel Pereira Moniz
dc.date.accessioned2025-11-06T13:07:39Z-
dc.date.available2025-11-06T13:07:39Z-
dc.date.issued2017-07-18
dc.date.submitted2017-08-01
dc.identifier.othersigarra:202527
dc.identifier.urihttps://hdl.handle.net/10216/105897-
dc.language.isoeng
dc.rightsopenAccess
dc.subjectCiências da computação e da informação
dc.subjectComputer and information sciences
dc.titlePrediction and Ranking of Highly Popular Web Content
dc.typeTese
dc.contributor.uportoFaculdade de Ciências
dc.identifier.doi10.34626/efjm-xv17
dc.identifier.tid101458584
dc.subject.fosCiências exactas e naturais::Ciências da computação e da informação
dc.subject.fosNatural sciences::Computer and information sciences
thesis.degree.disciplinePrograma Doutoral em Ciência de Computadores
thesis.degree.grantorFaculdade de Ciências
thesis.degree.grantorUniversidade do Porto
thesis.degree.level2
Appears in Collections:FCUP - Tese

Files in This Item:
File Description SizeFormat 
202527.pdfPrediction and Ranking of Highly Popular Web Content8.63 MBAdobe PDFThumbnail
View/Open


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