Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/19288
Título: | Feature selection for bankruptcy prediction: a multi-objective optimization approach |
Autor(es): | Mendes, F. Duarte, J. Vieira, Armando Gaspar-Cunha, A. |
Palavras-chave: | Feature selection Bankruptcy prediction Multi-objective optimization Evolutionary algorithms Support vector machines Logistic regression |
Data: | 2010 |
Editora: | Springer |
Revista: | Advances in Intelligent and Soft Computing |
Citação: | Mendes F., Duarte J., Vieira A., Gaspar-Cunha A. (2010) Feature Selection for Bankruptcy Prediction: A Multi-Objective Optimization Approach. In: Gao XZ., Gaspar-Cunha A., Köppen M., Schaefer G., Wang J. (eds) Soft Computing in Industrial Applications. Advances in Intelligent and Soft Computing, vol 75. Springer, Berlin, Heidelberg |
Resumo(s): | In this work a Multi-Objective Evolutionary Algorithm (MOEA) was applied for feature selection in the problem of bankruptcy prediction. The aim is to maximize the accuracy of the classifier while keeping the number of features low. A two-objective problem - minimization of the number of features and accuracy maximization – is fully analyzed using two classifiers: Support Vector Machines and Logistic Function. A database containing financial statements of 1200 medium sized private French companies was used. It was shown that MOEA is a very efficient feature selection approach. Furthermore, it can provide very useful information for the decision maker in characterizing the financial health of a company. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/19288 |
ISBN: | 978-3-642-11281-2 |
e-ISBN: | 978-3-642-11282-9 |
DOI: | 10.1007/978-3-642-11282-9_12 |
ISSN: | 1867-5662 |
Versão da editora: | https://link.springer.com/chapter/10.1007%2F978-3-642-11282-9_12 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | IPC - Resumos alargados em actas de encontros científicos internacionais com arbitragem |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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Mendes et al._2010_Feature Selection for Bankruptcy Prediction A Multi-Objective Optimization Approach.pdf | 56,6 kB | Adobe PDF | Ver/Abrir |