Utilize este identificador para referenciar este registo: http://hdl.handle.net/10071/20887
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Campo DCValorIdioma
dc.contributor.authorLousão, S.-
dc.contributor.authorRamos, P.-
dc.contributor.authorMoro, S.-
dc.contributor.editorKohei Arai-
dc.date.accessioned2020-12-03T15:30:12Z-
dc.date.available2020-12-03T15:30:12Z-
dc.date.issued2020-
dc.identifier.citationLousão, S., Ramos, P., & Moro, S. (2020). Back to the past to charter the vinyl electronic market: a data mining approach. Em Kohei Arai (Ed.), Advances in Intelligent Systems and Computing (vol. 1251, pp. 685-692). https://dx.doi.org/10.1007/978-3-030-55187-2_49-
dc.identifier.issn2194-5357-
dc.identifier.urihttp://hdl.handle.net/10071/20887-
dc.description.abstractThis study focuses on perhaps the most iconic media format of all time, the vinyl record. By adopting a data mining approach, the goal is to understand which factors involved in the buying and selling of vinyl, influenced its price, with the initial hypothesis considering record labels and popular rankings to be some of the most contributing variables. To be able to evaluate it, four datasets were created in an endeavor to represent recent and past records of two different genres, Rock and Jazz, by extracting data from Discogs’ marketplace and Billboard’s Hot 100 chart. Such approach unveiled that an artist’s presence in the charts and their labels belonging to one of the ‘Big three’ do not always dictate their records at highest prices. The results also showed that features which measure popularity become more relevant in the ‘era’ where the record’s genre is more popular and that big record labels have been losing market share to an increasing number of independent labels.eng
dc.language.isoeng-
dc.publisherSpringer-
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04466%2F2020/PT-
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F04466%2F2020/PT-
dc.relation.ispartofAdvances in Intelligent Systems and Computing-
dc.rightsopenAccess-
dc.subjectVinyl recordeng
dc.subjectPricingeng
dc.subjectData miningeng
dc.titleBack to the past to charter the vinyl electronic market: A data mining approacheng
dc.typeconferenceObject-
dc.event.titleIntelligent Systems Conference 2020 (IntelliSys 2020)-
dc.event.typeConferênciapt
dc.event.locationLondoneng
dc.event.date2020-
dc.pagination685 - 692-
dc.peerreviewedyes-
dc.journalProceedings of the 2020 Intelligent Systems Conference (IntelliSys)-
dc.volume1251-
degois.publication.firstPage685-
degois.publication.lastPage692-
degois.publication.locationAmsterdãoeng
degois.publication.titleBack to the past to charter the vinyl electronic market: a data mining approacheng
dc.date.updated2023-11-29T14:02:43Z-
dc.description.versioninfo:eu-repo/semantics/acceptedVersion-
dc.identifier.doi10.1007/978-3-030-55187-2_49-
dc.subject.fosDomínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informaçãopor
dc.subject.fosDomínio/Área Científica::Ciências Sociais::Ciências da Comunicaçãopor
dc.subject.fosDomínio/Área Científica::Ciências Sociais::Outras Ciências Sociaispor
iscte.subject.odsIndústria, inovação e infraestruturaspor
iscte.identifier.cienciahttps://ciencia.iscte-iul.pt/id/ci-pub-73097-
iscte.alternateIdentifiers.scopus2-s2.0-85090099543-
Aparece nas coleções:ISTAR-CRI - Comunicações a conferências internacionais

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