1 |
Altman, E.L., "Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy", The Journal of Finance, Vol. 23, No.4, 1968, 589-609.
DOI
|
2 |
Beaver, W., "Financial Ratios as Predictors of Failure, Empirical Research in Accounting : Selected Studied", Journal of Accounting Research, Vol.4, No.3, 1966, 71-111.
DOI
|
3 |
Bian, S. and W. Wang, "On Diversity and Accuracy of Homogeneous and Heterogeneous Ensembles", International Journal of Hybrid Intelligent Systems, Vol.4, No.2, 2007, 103-128.
DOI
|
4 |
Breiman, L., "Bagging Predictors", Machine Learning, Vol.24, No.2, 1996, 123-140.
DOI
|
5 |
Bryant, S.M., "A Case-Based Reasoning Approach to Bankruptcy Prediction Modeling", Intelligent Systems in Accounting, Finance and Management, Vol.6, No.3, 1997, 195-214.
DOI
|
6 |
Choi, H.N. and D.H. Lim, "Bankruptcy Prediction Using Ensemble SVM Model", Journal of the Korean Data and Information Science Society, Vol.24, No.6, 2013, 1113-1125. (최하나, 임동훈, "앙상블 SVM 모형을 이용한 기업부도 예측", 한국데이터정보과학회지, 제24권 제6호, 2013, 1113-1125.)
DOI
|
7 |
Dietterich, T.G., "Machine-Learning Research : Four Current Directions", AI Magazine, Vol.18, No.4, 1997, 97-136.
|
8 |
Freund, Y. and R. Schapire, "Experiments with a New Boosting Algorithm", Proceedings of the 13th International Conference on Machine learning, 1996, 148-156.
|
9 |
Kim, J.W. and W.C. Jhee, "Credit Card Bad Debt Prediction Model based on Support Vector Machine", Journal of Information Technology Services, Vol.11, No.4, 2012, 233-250. (김진우, 지원철, "신용카드 대손회원 예측을 위한 SVM 모형", 한국IT서비스학회지, 제11권, 제4호, 2012, 233-250.)
DOI
|
10 |
Kim, M.J., "A Performance Comparison of Ensemble in Bankruptcy Prediction", Entrue Journal of Information Technology, Vol.8, No.2, 2009, 41-49. (김명종, "기업부실화 예측에 대한 앙상블 학습의 성과 비교", 엔트루 저널, 제8권, 제2호, 2009, 41-49.)
|
11 |
Kim, M.J., D.K. Kang, and H.B. Kim, "Geometric Mean Based Boosting Algorithm with Over-Sampling to Resolve Data Imbalance Problem for Bankruptcy Prediction", Expert Systems with Applications, Vol.42, No.3, 2015, 1074-1082.
DOI
|
12 |
Kim, S.H. and J.W. Kim, "SOHO Bankruptcy Prediction Using Modified Bagging Predictors", Journal of Intelligence and Information Systems, Vol.13, No.2, 2007, 15-26. (김승혁, 김종우, "Modified Bagging Predictors를 이용한 SOHO 부도 예측", 한국지능정보시스템학회논문지, 제13권, 제2호, 2007, 15-26.)
|
13 |
Kuncheva, L.I. and C.J. Whitaker, "Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble Accuracy", Machine Learning, Vol.51, No.2, 2003, 181-207.
DOI
|
14 |
Li, H. Y.C. Lee, Y.C. Zhou, and J. Sun, "The Random Subspace Binary Logit (RSBL) Model for Bankruptcy Prediction", Knowledge-Based Systems, Vol.24, No.8, 2011, 1380-1388.
DOI
|
15 |
Lu, Y., N.Y. Zeng, X.H. Liu, and S.J. Yi, "A New Hybrid Algorithm for Bankruptcy Prediction Using Switching Particle Swarm Optimization and Support Vector Machines", Discrete Dynamics in Nature and Society, Vol. 2015, 2015 http://dx.doi.org/10.1155/2015/294930(Downloaded February 19, 2016.)
DOI
|
16 |
Meyer, P.A. and H. Pifer, "Prediction of Bank Failures", The Journal of Finance, Vol.25, 1970, 853-868.
DOI
|
17 |
Min, S.H., "Bankruptcy Prediction Using an Improved Bagging Ensemble", Journal of Intelligence and Information Systems, Vol.20, No.4, 2014, 121-139. (민성환, "개선된 배깅 앙상블을 활용한 기업부도예측", 지능정보연구, 제20권, 제4호, 2014, 121-139.)
DOI
|
18 |
Min, S., "Optimization of Random Subspace Ensemble for Bankruptcy Prediction", Journal of Information Technology Services, Vol.14, No.4, 2015, 121-135. (민성환, "재무부실화 예측을 위한 랜덤 서브스페이스 앙상블 모형의 최적화", 한국IT서비스학회지, 제14권, 제4호, 2015, 121-135.)
|
19 |
Ohlson, J., "Financial ratios and the probabilistic prediction of bankruptcy", Journal of Accounting Research, Vol.18, No.1, 1980, 109-131.
DOI
|
20 |
Shaw, M.J. and J.A. Gentry, "Using and Expert System with Inductive Learning to Evaluate Business Loans", Financial Management, Vol.17, No.3, 1988, 45-56.
DOI
|
21 |
Yu, L., "Credit Risk Evaluation with a Least Squares Fuzzy Support Vector Machines Classifier", Discrete Dynamics in Nature and Society, 2014.
|
22 |
Zhang, G., Y.M. Hu, E.B., Patuwo, and C. D. Indro, "Artificial Neural Networks in Bankruptcy Prediction : General Framework and Cross-Validation Analysis", European Journal of Operational Research, Vol.116, 1999, 16-32.
DOI
|
23 |
Zhang, Y.D., S.H. Wang, and G.L. Ji, "A Rule-Based Model for Bankruptcy Prediction Based on an Improved Genetic Ant Colony Algorithm", Mathematical Problems in Engineering, 2013.
|