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dc.contributor.authorVagizova, Veneraen
dc.contributor.authorKsenia, Lurieen
dc.contributor.authorIvasiv, Ihor Bogdanovychen
dc.contributor.authorІвасів, Ігор Богдановичuk
dc.date.accessioned2015-04-06T12:18:45Z
dc.date.available2015-04-06T12:18:45Z
dc.date.issued2014
dc.identifier.citationIvasiv I. B. Clustering of Russian banks: business models of interaction of the banking sector and the real economy / I. B. Ivasiv // Problems and Perspectives in Management, Volume 12, Issue 1, 2014. – С. 83–93.uk
dc.identifier.urihttps://ir.kneu.edu.ua:443/handle/2010/6109
dc.description.abstractThis paper concentrates on the clustering analysis of Russian credit institutions in order to determine business models of the existing banks activity and exposes the possibilities of effective cooperation with the real sector of the economy of the country.en
dc.language.isoenuk
dc.publisherОбщество с ограниченной ответственностью "Консалтингово-издательская компания" Деловые перспективы "(ООО" КВН "Деловые перспективы")uk
dc.subjectbanken
dc.subjectclustering analysisen
dc.subjectk-means methoden
dc.subjectKohonen neural networken
dc.subjectbusiness modelen
dc.subjectreal sector of economyen
dc.titleClustering of Russian banks: business models of interaction of the banking sector and the real economyen
dc.typeArticleuk
dc.subject.udcG21uk


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