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@inproceedings{1173481,
author = {Somol, Petr and Pudil, Pavel and Částek, Ondřej and Pokorná, Jana},
address = {Reading (UK)},
booktitle = {Proceedings of the 2nd International Conference on Management, Leadership and Governance ICMLG 2014},
edition = {1.},
editor = {Dr Phil Dover, Dr Sam Hariharan and Dr. Michael Cummings},
keywords = {Corporate Competitiveness; Financial Performance; Non-linear Regression; Feature Selection; Statistical Pattern Recognition},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Reading (UK)},
isbn = {978-1-909507-99-9},
pages = {276-285},
publisher = {Academic Publishing International Limited},
title = {Improved Model for Attribute Selection on High-Dimensional Economic Data},
year = {2014}
}
TY - JOUR
ID - 1173481
AU - Somol, Petr - Pudil, Pavel - Částek, Ondřej - Pokorná, Jana
PY - 2014
TI - Improved Model for Attribute Selection on High-Dimensional Economic Data
PB - Academic Publishing International Limited
CY - Reading (UK)
SN - 9781909507999
KW - Corporate Competitiveness
KW - Financial Performance
KW - Non-linear Regression
KW - Feature Selection
KW - Statistical Pattern Recognition
N2 - This paper represents a continuation of our previous results, which were closely linked to the topic of automated search for factors of corporate competitiveness. The main goal remains to demonstrate a significant mutual dependency between corporate competitiveness (characterized mainly by their financial performance) and a group of selected characteristics describing these companies. Such characteristics can be regarded as competitiveness factors. Characteristics are generally not mutually independent, thus factors have to be selected in multidimensional space. Compared to our previous work presented at ICMLG 2013 in Bangkok, we analyse here a more precise and larger dataset of enterprises from the Czech Republic and, moreover, with a higher dimensionality (with more variables or features). This paper presents both the new improved algorithms for using the regression model in the search for key factors of corporate competitiveness and also new results achieved with this larger dataset.
ER -
SOMOL, Petr, Pavel PUDIL, Ondřej ČÁSTEK a Jana POKORNÁ. Improved Model for Attribute Selection on High-Dimensional Economic Data. In Dr Phil Dover, Dr Sam Hariharan and Dr. Michael Cummings. \textit{Proceedings of the 2nd International Conference on Management, Leadership and Governance ICMLG 2014}. 1. vyd. Reading (UK): Academic Publishing International Limited, 2014, s.~276-285. ISBN~978-1-909507-99-9.
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