A note on genetic algorithms for large-scale feature selection
Pattern Recognition Letters
Bankruptcy prediction using neural networks
Decision Support Systems - Special issue on neural networks for decision support
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
Self organizing neural networks for financial diagnosis
Decision Support Systems
Hybrid neural network models for bankruptcy predictions
Decision Support Systems
Control-Sensitive Feature Selection for Lazy Learners
Artificial Intelligence Review - Special issue on lazy learning
Artificial Intelligence Review - Special issue on lazy learning
Prototype selection for the nearest neighbour rule through proximity graphs
Pattern Recognition Letters
Applying case-based reasoning: techniques for enterprise systems
Applying case-based reasoning: techniques for enterprise systems
Selection of the optimal prototype subset for 1-NN classification
Pattern Recognition Letters
Nearest neighbor classifier: simultaneous editing and feature selection
Pattern Recognition Letters - Special issue on pattern recognition in practice VI
Data mining: concepts and techniques
Data mining: concepts and techniques
Decision Support Systems and Intelligent Systems
Decision Support Systems and Intelligent Systems
Improving Minority Class Prediction Using Case-Specific Feature Weights
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
ICTAI '00 Proceedings of the 12th IEEE International Conference on Tools with Artificial Intelligence
Knowledge and Information Systems
Toward Global Optimization of Case-Based Reasoning Systems for Financial Forecasting
Applied Intelligence
Expert Systems with Applications: An International Journal
Selecting representative examples and attributes by a genetic algorithm
Intelligent Data Analysis
The condensed nearest neighbor rule (Corresp.)
IEEE Transactions on Information Theory
A CBR System for Knowing the Relationship between Flexibility and Operations Strategy
ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems
On sensitivity of case-based reasoning to optimal feature subsets in business failure prediction
Expert Systems with Applications: An International Journal
Fuzzy Support Vector Machine for bankruptcy prediction
Applied Soft Computing
Expert Systems with Applications: An International Journal
Evolutionary selection of hyperrectangles in nested generalized exemplar learning
Applied Soft Computing
Using partial least squares and support vector machines for bankruptcy prediction
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A novel CBR system for numeric prediction
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
Collaborative Filtering with a User-Item Matrix Reduction Technique
International Journal of Electronic Commerce
Expert Systems with Applications: An International Journal
A hybrid device for the solution of sampling bias problems in the forecasting of firms' bankruptcy
Expert Systems with Applications: An International Journal
Forecasting corporate bankruptcy with an ensemble of classifiers
SETN'12 Proceedings of the 7th Hellenic conference on Artificial Intelligence: theories and applications
Empirical models based on features ranking techniques for corporate financial distress prediction
Computers & Mathematics with Applications
International Journal of Intelligent Systems in Accounting and Finance Management
Genetic algorithms in feature and instance selection
Knowledge-Based Systems
On the optimization of multiclass support vector machines dedicated to speech recognition
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part II
Application of hybrid case-based reasoning for enhanced performance in bankruptcy prediction
Information Sciences: an International Journal
Engineering Applications of Artificial Intelligence
An intelligent route management system for electric vehicle charging
Integrated Computer-Aided Engineering
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One of the most important research issues in finance is building effective corporate bankruptcy prediction models because they are essential for the risk management of financial institutions. Researchers have applied various data-driven approaches to enhance prediction performance including statistical and artificial intelligence techniques, and many of them have been proved to be useful. Case-based reasoning (CBR) is one of the most popular data-driven approaches because it is easy to apply, has no possibility of overfitting, and provides good explanation for the output. However, it has a critical limitation-its prediction performance is generally low. In this study, we propose a novel approach to enhance the prediction performance of CBR for the prediction of corporate bankruptcies. Our suggestion is the simultaneous optimization of feature weighting and the instance selection for CBR by using genetic algorithms (GAs). Our model can improve the prediction performance by referencing more relevant cases and eliminating noises. We apply our model to a real-world case. Experimental results show that the prediction accuracy of conventional CBR may be improved significantly by using our model. Our study suggests ways for financial institutions to build a bankruptcy prediction model which produces accurate results as well as good explanations for these results.