Identifying Corporate Performance Factors Based on Feature Selection in Statistical Pattern Recognition: METHODS, APPLICATION, INTERPRETATION

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14560%2F14%3A00074365" target="_blank" >RIV/00216224:14560/14:00074365 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61384399:31160/14:00045795

Výsledek na webu

<a href="http://dx.doi.org/10.5817/CZ.MUNI.M210-7557-2014" target="_blank" >http://dx.doi.org/10.5817/CZ.MUNI.M210-7557-2014</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5817/CZ.MUNI.M210-7557-2014" target="_blank" >10.5817/CZ.MUNI.M210-7557-2014</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Identifying Corporate Performance Factors Based on Feature Selection in Statistical Pattern Recognition: METHODS, APPLICATION, INTERPRETATION

Popis výsledku v původním jazyce

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 byclustering 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.

Název v anglickém jazyce

Identifying Corporate Performance Factors Based on Feature Selection in Statistical Pattern Recognition: METHODS, APPLICATION, INTERPRETATION

Popis výsledku anglicky

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 byclustering 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.

Druh

B - Odborná kniha

CEP obor

AE - Řízení, správa a administrativa

OECD FORD obor

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Projekt

<a href="/cs/project/GAP403%2F12%2F1557" target="_blank" >GAP403/12/1557: Přístupy k identifikaci faktorů výkonnosti podniků s důrazem na metody výběru příznaků ve statistickém rozpoznávání.</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2014

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

ISBN

9788021075573

Počet stran knihy

170

Název nakladatele

Muni press

Místo vydání

Brno

Kód UT WoS knihy

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