Other formats:
BibTeX
LaTeX
RIS
@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 and 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}. 1st ed. Reading (UK): Academic Publishing International Limited, 2014, p.~276-285. ISBN~978-1-909507-99-9.
|