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Data envelopment analysis (DEA) is a non-parametric method for measuring the efficiency and productivity of decision-making units (DMUs). On the other hand data mining techniques allow DMUs to explore...
In this article, we examine how issues of multi-category membership (hybridity) were handled during the evolution of one of the first general systems of industrial classification in the United States,...
Artificial neural networks provide powerful models for solving many economic classifications, as well as regression problems. For example, they were successfully used for the discrimination between he...
A collection of papers and blog ramblings about the nexus of political economy, media, and classification. Some other topics include boundary objects, Hayek, Shannon, information theory, libraries, an...
The superfamily phenomenon of time series with different dynamics can be charac-terized by the motif rank patterns observed in the nearest-neighbor networks of the time series in phase space. However,...
ThearticledescribesthelayoutofplantproductionandlivestockdensityintheCzechRepublicin2003 according to a sample survey of the Czech Statistical Office.Theproductionorientationof agriculturalenterprises...

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