Predicting financial distress of contractors in the construction industry using ensemble learning.
Hyunchul ChoiHyojoo SonChangwan KimPublished in: Expert Syst. Appl. (2018)
Keyphrases
- ensemble learning
- construction industry
- financial distress
- financial ratios
- early warning
- generalization ability
- life cycle
- ensemble methods
- bankruptcy prediction
- puts forward
- random forest
- environmental protection
- base classifiers
- unlabeled data
- decision trees
- decision support system
- concept drift
- failure prediction
- support vector
- feature selection
- machine learning
- data mining
- text mining
- support vector machine
- prior knowledge
- learning vector quantization
- financial information