Improved Model for Attribute Selection on High-Dimensional Economic Data

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14560%2F14%3A00073551" target="_blank" >RIV/00216224:14560/14:00073551 - isvavai.cz</a>
Alternative codes found
RIV/61384399:31160/14:00044170
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Improved Model for Attribute Selection on High-Dimensional Economic Data
Original language description
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
Czech name
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Czech description
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Project
<a href="/en/project/GAP403%2F12%2F1557" target="_blank" >GAP403/12/1557: Developing Methods for Identifying and Evaluating Factors That Critically Affect Corporate Performance.</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 2nd International Conference on Management, Leadership and Governance ICMLG 2014
ISBN
9781909507999
ISSN
2049-6818
e-ISSN
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Number of pages
10
Pages from-to
276-285
Publisher name
Academic Publishing International Limited
Place of publication
Reading (UK)
Event location
Wellesley
Event date
Jan 1, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000340523100036

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