Support vector machines for default prediction of SMEs based on technology credit.
Hong Sik KimSo Young SohnPublished in: Eur. J. Oper. Res. (2010)
Keyphrases
- support vector
- small and medium enterprises
- learning machines
- prediction accuracy
- large margin classifiers
- cost effective
- rapid development
- prediction algorithm
- binary classification
- generalization ability
- classification accuracy
- case study
- logistic regression
- technological innovation
- cross validation
- support vector machine
- learning algorithm
- key technologies
- credit scoring
- ls svm
- small and medium sized enterprises
- prediction error
- prediction model
- svm classifier
- computer systems
- data processing
- knowledge management
- multi class
- information systems