Identifying Corporate Performance Factors Based on Feature Selection in Statistical Pattern Recognition

Methods, Application, Interpretation

Pavel Pudil, Ladislav Blažek, Ond?ej ?ástek, Ondřej Částek

• Publisher: Masarykova univerzita
• Year: 2014
• Print ISBN: 9788021075573
• eBook ISBN: 9788021076723
• Topic: Business
• Subtopic: Organisational Behaviour
• Index: Business

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.

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