Identifying Corporate Performance Factors Based on Feature Selection in Statistical Pattern Recognition: METHODS, APPLICATION, INTERPRETATION

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Publikace nespadá pod Filozofickou fakultu, ale pod Ekonomicko-správní fakultu. Oficiální stránka publikace je na webu muni.cz.
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PUDIL Pavel BLAŽEK Ladislav ČÁSTEK Ondřej SOMOL Petr POKORNÁ Jana KRÁLOVÁ Maria

Rok publikování 2014
Druh Odborná kniha
Fakulta / Pracoviště MU

Ekonomicko-správní fakulta

Citace
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Popis This publication summarizes and extends methodology of feature selection (FS) and pattern recognition in search for competitiveness factors and methodology of corporate financial performance (CFP) measurement. Several methods were evaluated and Dependency-Aware Feature Ranking combined with non-linear regression model were applied. Also, this publication suggests and verifies methodology of interpretation results of the FS methods. For start was employed multidimensional linear regression, succeeded by clustering companies according to the factors identified by FS into homogenous groups, dividing them into quartiles based on their CFP and identifying similar values of the factors. This way was captured the non-linearity in the data.
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