articleTop 1% cited
Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters
Expert Systems with Applications · 2005 · Vol. 28(4) · pp. 603–614
Min Jiang(Sogang University)Young‐Chan Lee✉(Dongguk University)
Financial Distress and Bankruptcy PredictionImbalanced Data Classification TechniquesStock Market Forecasting MethodsSupport vector machineBankruptcy predictionComputer scienceArtificial intelligenceMachine learningLogistic regressionKernel (algebra)LogitStability (learning theory)Artificial neural network
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860
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49.30
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References
Early warning of bank failure
Journal of Banking & Finance · 1977 · 958 citations
Financial time series forecasting using support vector machines
Neurocomputing · 2003 · 1,691 citations
Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience)
Journal of Banking & Finance · 1994 · 1,070 citations
FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY
The Journal of Finance · 1968 · 13,425 citations
Statistical Learning Theory
Technometrics · 1999 · 26,915 citations
Support vector machines for spam categorization
IEEE Transactions on Neural Networks · 1999 · 1,463 citations
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