Name
Abstract | ||
|---|---|---|
•This paper proposes a new model for financial crisis prediction.•The Ant Colony optimization (ACO) is used to build the proposed model.•The proposed model is verified using five benchmark datasets.•The proposed ACO model outperform different existing AI models. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.ijinfomgt.2018.12.001 | International Journal of Information Management |
Keywords | Field | DocType |
Bankruptcy prediction,Credit risk,Feature selection,Machine learning,Metaheuristic | Particle swarm optimization,Ant colony optimization algorithms,Feature selection,Ensemble forecasting,Financial crisis,Knowledge management,Artificial intelligence,Engineering,Data classification,Genetic algorithm,Machine learning | Journal |
Volume | ISSN | Citations |
50 | 0268-4012 | 2 |
PageRank | References | Authors |
0.44 | 30 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Uthayakumar J | 1 | 4 | 0.84 |
| Noura Metawa | 2 | 31 | 3.92 |
| Noura Metawa | 3 | 2 | 1.12 |
| K. Shankar | 4 | 95 | 13.88 |
| S.K. Lakshmanaprabu | 5 | 3 | 1.13 |