Data analysis from area of strategic planning

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dc.contributor.author Kašparová, Miloslava
dc.contributor.author Pilc, Marek
dc.date.accessioned 2016-09-21T08:21:42Z
dc.date.available 2016-09-21T08:21:42Z
dc.date.issued 2016
dc.identifier.issn ISSN 1211-555X (Print)
dc.identifier.issn ISSN 1804-8048 (Online)
dc.identifier.uri http://hdl.handle.net/10195/65641
dc.description.abstract The text deals with the data analysis from an area of the strategic planning. It focuses on a searching of association rules by the Apriori algorithm. The administrative district of municipalities with extended powers in the Czech Republic were chosen as objects and were described by indicators based on the strategic planning. In the data pre-processing, selected rates of dynamics of the monitored indicators were calculated. Values of the average absolute increase of indicators were converted and were used to the searching of the association rules. Achieved results of three models were compared (e.g. by the support, confidence, rule support, and lift) and described. These models were differed in the way of the association rules searching (i.e. measure of the rule confidence; measure of the confidence difference; and measure of the confidence ratio). The association rules can serve as a support for a preparation of new strategic plans for e.g. municipality, region. Problem areas of the mentioned units could be selected on the basis of the achieved association rules. eng
dc.format p. 60-70 eng
dc.language.iso eng
dc.publisher Univerzita Pardubice cze
dc.relation.ispartof Scientific papers of the University of Pardubice. Series D, Faculty of Economics and Administration. 37/2016 eng
dc.rights open access eng
dc.subject data eng
dc.subject analysis eng
dc.subject strategic planning eng
dc.subject Apriori eng
dc.subject association rules eng
dc.title Data analysis from area of strategic planning cze
dc.type Article cze
dc.peerreviewed yes eng
dc.publicationstatus published eng
dc.identifier.scopus 2-s2.0-84988530589
dc.identifier.scopus 2-s2.0-84988530589
dc.identifier.obd 39877317
dc.subject.jel C39
dc.subject.jel R58


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