A case-based reasoning-driven clustering imputation and noise-resistant classification learning paradigm for financial distress prediction with missing and noisy data
Fields of Study & Subjects
Financial Distress and Bankruptcy Prediction
Working Capital and Financial Performance
Imbalanced Data Classification Techniques
Publication details
- Journal / source
- Engineering Applications of Artificial Intelligence
- Publisher
- Elsevier BV
- Volume
- 167
- Pages
- 113955–113955
- Publication date
- 27 January 2026
- Language
- EN