An Unsupervised Learning Framework to Analyze the Economic Impact of Covid-19: An Application on the Most Affected Countries

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dc.contributor.authorÖzden, Erdemalp
dc.date.accessioned2024-10-04T18:58:37Z
dc.date.available2024-10-04T18:58:37Z
dc.date.issued2021
dc.departmentBayburt Üniversitesien_US
dc.description.abstract[No abstract available]en_US
dc.identifier.endpage174en_US
dc.identifier.isbn978-363185532-4
dc.identifier.scopus2-s2.0-85126407127en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage161en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12403/3904
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherPeter Lang AGen_US
dc.relation.ispartofTransition to New Normal After Covid-19: Strategies to Turn Crisis into Opportunityen_US
dc.relation.publicationcategoryKitap Bölümü - Uluslararasıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleAn Unsupervised Learning Framework to Analyze the Economic Impact of Covid-19: An Application on the Most Affected Countriesen_US
dc.typeBook Chapteren_US

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