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Please use this identifier to cite or link to this item: http://dspace.bsuedu.ru/handle/123456789/66428
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dc.contributor.authorChuprakov, D. V.-
dc.contributor.authorSozinova, A. A.-
dc.contributor.authorSavelyeva, N. K.-
dc.contributor.authorSaidakova, V. A.-
dc.contributor.authorAstakhin, A. S.-
dc.date.accessioned2026-03-26T08:45:03Z-
dc.date.available2026-03-26T08:45:03Z-
dc.date.issued2025-
dc.identifier.citationLabor resources of the periphery of the digital economy: identifying signs using a machine learning model / D.V. Chuprakov, A.A. Sozinova, N.K. Savelyeva [et al.] // Management of Digital Technologies in the Innovative Economy / ed. E.G. Popkova. - Cham, 2025. - P. 321-326. - (Advances in Science, Technology & Innovation). - Refer.: p. 326.ru
dc.identifier.urihttp://dspace.bsuedu.ru/handle/123456789/66428-
dc.description.abstractThe research aims to check the hypothesis and identify signs of labor resources in the periphery of the digital economy using a machine learning modelru
dc.language.isoenru
dc.subjecteconomyru
dc.subjecte-businessru
dc.subjectdigital economyru
dc.subjectlabor resourcesru
dc.subjectmachine learning modelru
dc.subjectvacanciesru
dc.subjectopen dataru
dc.titleLabor resources of the periphery of the digital economy: identifying signs using a machine learning modelru
dc.typeArticleru
Appears in Collections:Статьи из периодических изданий и сборников (на иностранных языках) = Articles from periodicals and collections (in foreign languages)

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