Identifying Corporate Performance Factors Based on Feature Selection in Statistical Pattern Recognition, Methods, Application, Interpretation:
Gespeichert in:
| Hauptverfasser: | , , , , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Brno [Czech Republic]
Masarykova univerzita
2014
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| Schlagworte: | |
| Online-Zugang: | BSB01 |
| Beschreibung: | 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 |
| Beschreibung: | 1 Online-Ressource (1 p. 174) |
| ISBN: | 9788021076723 |
Internformat
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| 650 | 4 | |a Micro-Economics | |
| 650 | 4 | |a Methodology and research technology | |
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Datensatz im Suchindex
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| author | Pudil, Pavel Blažek, Ladislav Částek, Ondřej Somol, Petr Pokorná, Jana Králová, Maria Boháček, Milan |
| author_facet | Pudil, Pavel Blažek, Ladislav Částek, Ondřej Somol, Petr Pokorná, Jana Králová, Maria Boháček, Milan |
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| id | DE-604.BV047450837 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T18:03:13Z |
| indexdate | 2024-07-10T09:12:30Z |
| institution | BVB |
| isbn | 9788021076723 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032852835 |
| oclc_num | 1268185060 |
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| owner_facet | DE-12 |
| physical | 1 Online-Ressource (1 p. 174) |
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| publishDate | 2014 |
| publishDateSearch | 2014 |
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| publisher | Masarykova univerzita |
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| spelling | Pudil, Pavel Verfasser aut Identifying Corporate Performance Factors Based on Feature Selection in Statistical Pattern Recognition, Methods, Application, Interpretation Brno [Czech Republic] Masarykova univerzita 2014 Frankfurt M. CEEOL 2014 1 Online-Ressource (1 p. 174) txt rdacontent c rdamedia cr rdacarrier 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 Business Economy / Management Micro-Economics Methodology and research technology Accounting - Business Administration Blažek, Ladislav Verfasser aut Částek, Ondřej Verfasser aut Somol, Petr Verfasser aut Pokorná, Jana Verfasser aut Králová, Maria Verfasser aut Boháček, Milan Verfasser aut Central and Eastern European Online Library Sonstige oth Erscheint auch als Druck-Ausgabe 978-80-210-7557-3 |
| spellingShingle | Pudil, Pavel Blažek, Ladislav Částek, Ondřej Somol, Petr Pokorná, Jana Králová, Maria Boháček, Milan Identifying Corporate Performance Factors Based on Feature Selection in Statistical Pattern Recognition, Methods, Application, Interpretation Business Economy / Management Micro-Economics Methodology and research technology Accounting - Business Administration |
| title | Identifying Corporate Performance Factors Based on Feature Selection in Statistical Pattern Recognition, Methods, Application, Interpretation |
| title_auth | Identifying Corporate Performance Factors Based on Feature Selection in Statistical Pattern Recognition, Methods, Application, Interpretation |
| title_exact_search | Identifying Corporate Performance Factors Based on Feature Selection in Statistical Pattern Recognition, Methods, Application, Interpretation |
| title_exact_search_txtP | Identifying Corporate Performance Factors Based on Feature Selection in Statistical Pattern Recognition, Methods, Application, Interpretation |
| title_full | Identifying Corporate Performance Factors Based on Feature Selection in Statistical Pattern Recognition, Methods, Application, Interpretation |
| title_fullStr | Identifying Corporate Performance Factors Based on Feature Selection in Statistical Pattern Recognition, Methods, Application, Interpretation |
| title_full_unstemmed | Identifying Corporate Performance Factors Based on Feature Selection in Statistical Pattern Recognition, Methods, Application, Interpretation |
| title_short | Identifying Corporate Performance Factors Based on Feature Selection in Statistical Pattern Recognition, Methods, Application, Interpretation |
| title_sort | identifying corporate performance factors based on feature selection in statistical pattern recognition methods application interpretation |
| topic | Business Economy / Management Micro-Economics Methodology and research technology Accounting - Business Administration |
| topic_facet | Business Economy / Management Micro-Economics Methodology and research technology Accounting - Business Administration |
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