Identifying Corporate Performance Factors Based on Feature Selection in Statistical Pattern Recognition Methods, Application, Interpretation.

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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-line...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Pudil, Pavel
Otros Autores: Blažek, Ladislav, Částek, Ondřej
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Brno : Masarykova univerzita, 2014.
Temas:
Industrial organization > Measurement > Statistical methods.
Organizational effectiveness > Measurement > Statistical methods.
Industrial productivity > Measurement > Statistical methods.
Efficacité organisationnelle > Mesure > Méthodes statistiques.
Productivité > Mesure > Méthodes statistiques.
Industrial productivity > Measurement > Statistical methods
Acceso en línea:Texto completo
Descripción
Sumario: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.
Notas:Description based upon print version of record.
Descripción Física:1 online resource (0 p.)
ISBN:9788021076723
8021076720

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