Corporate default prediction with adaboost and bagging classifiers
This study aims to show a substitute technique to corporate default prediction. Data mining techniques have been extensively applied for this task, due to its ability to notice non-linear relationships and show a good performance in presence of noisy information, as it usually happens in corporate d...
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| Pengarang-pengarang Utama: | , , |
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| Format: | Artikel |
| Diterbitkan: |
2015
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| Subjek-subjek: | |
| Capaian Atas Talian: | http://eprints.utm.my/58171/ |
| Penanda-penanda: |
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