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

Investor logo

Warning

This publication doesn't include Faculty of Arts. It includes Faculty of Economics and Administration. Official publication website can be found on muni.cz.
Authors

PUDIL Pavel BLAŽEK Ladislav ČÁSTEK Ondřej SOMOL Petr POKORNÁ Jana KRÁLOVÁ Maria

Year of publication 2014
Type Monograph
MU Faculty or unit

Faculty of Economics and Administration

Citation
Attached files
Description 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.
Related projects:

You are running an old browser version. We recommend updating your browser to its latest version.