Jie Sun
Affiliations:- School of Economics and Management, Zhejiang Normal University
- Harbin Institute of Technology
According to our database1,
Jie Sun
authored at least 37 papers
between 2006 and 2016.
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Bibliography
2016
Enterp. Inf. Syst., 2016
2015
2014
Predicting financial distress and corporate failure: A review from the state-of-the-art definitions, modeling, sampling, and featuring approaches.
Knowl. Based Syst., 2014
Imbalance-oriented SVM methods for financial distress prediction: a comparative study among the new SB-SVM-ensemble method and traditional methods.
J. Oper. Res. Soc., 2014
The clustering-based case-based reasoning for imbalanced business failure prediction: a hybrid approach through integrating unsupervised process with supervised process.
Int. J. Syst. Sci., 2014
Statistics-based wrapper for feature selection: An implementation on financial distress identification with support vector machine.
Appl. Soft Comput., 2014
2013
Concept Drift-Oriented Adaptive and Dynamic Support Vector Machine Ensemble With Time Window in Corporate Financial Risk Prediction.
IEEE Trans. Syst. Man Cybern. Syst., 2013
Multiple proportion case-basing driven CBRE and its application in the evaluation of possible failure of firms.
Int. J. Syst. Sci., 2013
Forecasting business failure using two-stage ensemble of multivariate discriminant analysis and logistic regression.
Expert Syst. J. Knowl. Eng., 2013
2012
Case-based reasoning ensemble and business application: A computational approach from multiple case representations driven by randomness.
Expert Syst. Appl., 2012
Financial distress prediction using support vector machines: Ensemble vs. individual.
Appl. Soft Comput., 2012
Supply chain trust diagnosis (SCTD) using inductive case-based reasoning ensemble (ICBRE): The case of general competence trust diagnosis.
Appl. Soft Comput., 2012
2011
SFFS-PC-NN optimized by genetic algorithm for dynamic prediction of financial distress with longitudinal data streams.
Knowl. Based Syst., 2011
Knowl. Based Syst., 2011
Inf. Manag., 2011
Dynamic financial distress prediction using instance selection for the disposal of concept drift.
Expert Syst. Appl., 2011
AdaBoost ensemble for financial distress prediction: An empirical comparison with data from Chinese listed companies.
Expert Syst. Appl., 2011
Predicting business failure using support vector machines with straightforward wrapper: A re-sampling study.
Expert Syst. Appl., 2011
Empirical research of hybridizing principal component analysis with multivariate discriminant analysis and logistic regression for business failure prediction.
Expert Syst. Appl., 2011
Expert Syst. Appl., 2011
Hybridizing principles of TOPSIS with case-based reasoning for business failure prediction.
Comput. Oper. Res., 2011
On performance of case-based reasoning in Chinese business failure prediction from sensitivity, specificity, positive and negative values.
Appl. Soft Comput., 2011
2010
Predicting business failure using classification and regression tree: An empirical comparison with popular classical statistical methods and top classification mining methods.
Expert Syst. Appl., 2010
On sensitivity of case-based reasoning to optimal feature subsets in business failure prediction.
Expert Syst. Appl., 2010
Business failure prediction using hybrid<sup>2</sup> case-based reasoning (H<sup>2</sup>CBR).
Comput. Oper. Res., 2010
2009
Gaussian case-based reasoning for business failure prediction with empirical data in China.
Inf. Sci., 2009
Expert Syst. Appl., 2009
Financial distress prediction based on OR-CBR in the principle of k-nearest neighbors.
Expert Syst. Appl., 2009
Majority voting combination of multiple case-based reasoning for financial distress prediction.
Expert Syst. Appl., 2009
Predicting business failure using multiple case-based reasoning combined with support vector machine.
Expert Syst. Appl., 2009
Hybridizing principles of the Electre method with case-based reasoning for data mining: Electre-CBR-I and Electre-CBR-II.
Eur. J. Oper. Res., 2009
Comput. Oper. Res., 2009
2008
Knowl. Based Syst., 2008
Knowl. Based Syst., 2008
Listed companies' financial distress prediction based on weighted majority voting combination of multiple classifiers.
Expert Syst. Appl., 2008
2006
An Application of Support Vector Machine to Companies' Financial Distress Prediction.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2006
Proceedings of the Advanced Data Mining and Applications, Second International Conference, 2006