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Cost-based feature selection for Support Vector Machines: An application in credit scoring
3 references·16 citing·34 second hop
Cost-based feature selection for Support Vector Machines: An application in credit scoring (2017)Cost-based feature selection for Support …Development and application of consumer credit scoring models using profit-based classification measures (2014)Development and application o…The Credit Scoring Toolkit (2007)The Credit Scoring ToolkitCredit Scoring and Its Applications (2002)Credit Scoring and Its Applic…Credit Risk Prediction Using Machine Learning and Deep Learning: A Study on Credit Card Customers (2024)Credit Risk Prediction Using …Credit scoring methods: Latest trends and points to consider (2022)Credit scoring methods: Lates…Bagging Supervised Autoencoder Classifier for credit scoring (2022)Bagging Supervised Autoencode…A novel ensemble feature selection method by integrating multiple ranking information combined with an SVM ensemble model for enterprise credit risk prediction in the supply chain (2022)A novel ensemble feature sele…Combining feature selection, instance selection, and ensemble classification techniques for improved financial distress prediction (2021)Combining feature selection, …A firefly algorithm modified support vector machine for the credit risk assessment of supply chain finance (2021)A firefly algorithm modified …Utilizing historical data for corporate credit rating assessment (2020)Utilizing historical data for…A study on credit scoring modeling with different feature selection and machine learning approaches (2020)A study on credit scoring mod…Targeting customers for profit: An ensemble learning framework to support marketing decision-making (2019)Targeting customers for profi…Machine learning models and cost-sensitive decision trees for bond rating prediction (2019)Machine learning models and c…Credit Scoring: A Review on Support Vector Machines and Metaheuristic Approaches (2019)Credit Scoring: A Review on S…Cost-sensitive semi-supervised selective ensemble model for customer credit scoring (2019)Cost-sensitive 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this work references cited by second hop

References

  • 2002Credit Scoring and Its Applications669 cited
  • 2007The Credit Scoring Toolkit196 cited
  • 2014Development and application of consumer credit scoring models using profit-based classification measures179 cited

Cited by

  • 2019A multi-objective approach for profit-driven feature selection in credit scoring141 cited
  • 2018A novel multi-stage hybrid model with enhanced multi-population niche genetic algorithm: An application in credit scoring139 cited
  • 2020A study on credit scoring modeling with different feature selection and machine learning approaches135 cited
  • 2021A firefly algorithm modified support vector machine for the credit risk assessment of supply chain finance128 cited
  • 2017Integrated framework for profit-based feature selection and SVM classification in credit scoring111 cited
  • 2022A novel ensemble feature selection method by integrating multiple ranking information combined with an SVM ensemble model for enterprise credit risk prediction in the supply chain95 cited
  • 2021Combining feature selection, instance selection, and ensemble classification techniques for improved financial distress prediction85 cited
  • 2024Credit Risk Prediction Using Machine Learning and Deep Learning: A Study on Credit Card Customers83 cited
  • 2019Targeting customers for profit: An ensemble learning framework to support marketing decision-making80 cited
  • 2019Cost-sensitive semi-supervised selective ensemble model for customer credit scoring

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78 cited
  • 2022Credit scoring methods: Latest trends and points to consider73 cited
  • 2018Local and global characteristics-based kernel hybridization to increase optimal support vector machine performance for stock market prediction71 cited
  • 2019Machine learning models and cost-sensitive decision trees for bond rating prediction66 cited
  • 2022Bagging Supervised Autoencoder Classifier for credit scoring66 cited
  • 2019Credit Scoring: A Review on Support Vector Machines and Metaheuristic Approaches66 cited
  • 2020Utilizing historical data for corporate credit rating assessment63 cited