articleTop 1% cited
An application of support vector machines in bankruptcy prediction model
Expert Systems with Applications · 2004 · Vol. 28(1) · pp. 127–135
Kyung‐shik Shin✉(Ewha Womans University)T. Lee(Ewha Womans University)Hyun-Jung Kim(Ewha Womans University)
Financial Distress and Bankruptcy PredictionImbalanced Data Classification TechniquesNeural Networks and ApplicationsSupport vector machineComputer scienceBankruptcy predictionArtificial intelligenceArtificial neural networkMachine learningGeneralizationPattern recognition (psychology)Classifier (UML)Feature vector
Citations
802
FWCI
42.01
field-weighted impact
References
52
Percentile
100%
vs. same field & year
Citations per year
Cited by
Particle swarm optimization for parameter determination and feature selection of support vector machines
Expert Systems with Applications · 2007 · 891 citations
Chaotic multi-swarm whale optimizer boosted support vector machine for medical diagnosis
Applied Soft Computing · 2019 · 445 citations
Consumer credit-risk models via machine-learning algorithms
Journal of Banking & Finance · 2010 · 704 citations
References
Financial time series forecasting using support vector machines
Neurocomputing · 2003 · 1,691 citations
Bankruptcy prediction for credit risk using neural networks: A survey and new results
IEEE Transactions on Neural Networks · 2001 · 686 citations
Support-Vector Networks
Machine Learning · 1995 · 32,108 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
Induction of Decision Trees
Machine Learning · 1986 · 14,589 citations
Advances in neural information processing systems 7
Computers & Mathematics with Applications · 1996 · 14,367 citations
Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy
The Journal of Finance · 1968 · 3,710 citations
Citation Network
How this paper connects to the literature. Drag to explore, click any node to open that paper.
