Cost-based feature selection for Support Vector Machines: An application in credit scoring

Sebastián Maldonado; Juan Pérez; Cristián Bravo

doi:10.1016/j.ejor.2017.02.037

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Cost-based feature selection for Support Vector Machines: An application in credit scoring

Sebastián Maldonado Juan Pérez Cristián Bravo

Year: 2017 Journal: European Journal of Operational Research Vol: 261 (2)Pages: 656-665 Publisher: Elsevier BV

DOI: 10.1016/j.ejor.2017.02.037

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Keywords:

Support vector machine Feature selection Computer science Selection (genetic algorithm) Artificial intelligence Machine learning Feature (linguistics) Data mining Pattern recognition (psychology)

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146

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28.41

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Topics

Financial Distress and Bankruptcy Prediction

Social Sciences → Business, Management and Accounting → Accounting

Imbalanced Data Classification Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Cost-based feature selection for Support Vector Machines: An application in credit scoring

Metrics

Citation History

Topics

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