Digitální knihovnaUPCE
 

2012/24 Scientific papers, Series D

Permanentní URI k tomuto záznamuhttps://hdl.handle.net/10195/49508

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20122

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Předmět: search.filters.subject.cluster analysis

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  • Náhled
    Článekpeer-reviewedpublishedOtevřený přístup
    Analysis of European Union cohesion
    (Univerzita Pardubice, 2012) Koťátková Stránská, Pavla; Lelek, Tomáš
    The European Union is formation of 27 states at the present. The similarity of the EU member states with the nature of the integration process contributes to successful action in the diminishing of differences and creating a sense of belonging among together. The aim of the article is to examine similarity of EU member states, which can show the integration process success. The European Union should be a whole that can build its growth on the joint development of welfare in reducing economic disparities. The article examines if EU is not only disorderly group of states whose consistency is maintained artificially by political decisions. Politics has seemed to be the most influential representatives of the States in two last years. This implies the idea associated with the fact that in order to progress in the integration process, the individual member states are gradually forced to give up sovereignty in execution of their own economic policy. In the case of disorderly economic development in member states it can happen that, they cannot use the tools of economic policy in such way that is needed to address their own economic situation.
  • Náhled
    Článekpeer-reviewedpublishedOtevřený přístup
    Using cluster analysis for the study of generation Y behavior at the University of Pardubice
    (Univerzita Pardubice, 2012) Jonášová, Hana; Michálek, Karel; Panuš, Jan
    For Generation Y are social networks an essential element ofcommunication and entertainment. The authors of this article conducted research in the Faculty of Economics and Administration at the University of Pardubice on howstudents (generation Y) use social networks. For the evaluation of research were usedcluster analysis and decision trees.