Differences between the method of mini-models and the k-nearest neighbors on example of modeling of unemployment rate in Poland

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dc.contributor.authorWąsikowska, Barbara
dc.contributor.authorKorzeń, Marcin
dc.contributor.authorPiegat, Andrzej
dc.contributor.organizationUniwersytet Szczeciński, Wydział Nauk Ekonomicznych i Zarządzaniapl_PL
dc.contributor.organizationZachodniopomorski Uniwersytet Technologiczny w Szczeciniepl_PL
dc.date.accessioned2017-01-16T08:14:16Z
dc.date.available2017-01-16T08:14:16Z
dc.date.issued2011
dc.description.abstractThe paper presents in a possibly reader-friendly way, in the 2D-space, the method of mini-models, which very well suits for modeling economic dependencies, where frequently a part of explanatory variables influencing the explained variable is not known because lack of data. Experiments realized by authors confirmed superiority of mini-models over such modeling methods as polynomials, GRNN-neural network, and the method of k-nearest neighbors (KNN). Because the method of mini-models is frequently mistaken for the KNN-method the authors explain in the paper the significant difference between the both competitive methods. The indicated difference is also the main reason of superiority of mini-models over the KNN-method. Accuracy of both methods has been compared experimentally on example of modeling unemployment rate in Poland and also on examples of other economic dependencies.pl_PL
dc.description.epersonBarbara Wąsikowska
dc.identifier.citationKorzeń M., Piegat A., Wąsikowska B.: Differences between the method of mini-models and the k-nearest neighbors on example of modeling of unemployment rate in Poland, Systemy Informatyczne w Zarządzaniu”, SGGW, WULS Press, 2011 r., s. 34-43.pl_PL
dc.identifier.urihttps://open.icm.edu.pl/handle/123456789/11203
dc.language.isoenpl_PL
dc.publisherWULS Presspl_PL
dc.rightsUznanie autorstwa 3.0 Polska
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/pl/
dc.subjectmodeling of business processespl_PL
dc.subjectQuantitative methods in data analyses and modelingpl_PL
dc.titleDifferences between the method of mini-models and the k-nearest neighbors on example of modeling of unemployment rate in Polandpl_PL
dc.typearticlepl_PL
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