eBook - PDF
Identifying Corporate Performance Factors Based on Feature Selection in Statistical Pattern Recognition
Methods, Application, Interpretation
- English
- PDF
- Available on iOS & Android
eBook - PDF
Identifying Corporate Performance Factors Based on Feature Selection in Statistical Pattern Recognition
Methods, Application, Interpretation
About this book
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.
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Yes, you can access Identifying Corporate Performance Factors Based on Feature Selection in Statistical Pattern Recognition by Pavel Pudil,Ladislav Blažek,Ond?ej ?ástek,Ondřej Částek in PDF and/or ePUB format, as well as other popular books in Business & Organisational Behaviour. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Contents
- Introduction
- 1 Formulation of objectives and methodologicalapproach
- 2 Competitiveness and its measurement
- 3 Feature Selection Methods in Statistical PatternRecognition
- 4 Testing approaches and methods basedon learning methods for identifying factorsof competitiveness
- 5 Identifying factors of competitiveness usingbivariate analyses and linearregression analyses
- 6 Interpretation of the results achieved
- 7 Conclusion
- 8 Bibliography
- List of Figures
- List of Tables
- List of Graphs