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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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Penerbit UTM Press
2015
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/58171/1/SureshRamakrishnan2015_CorporateDefaultPrediction.pdf http://eprints.utm.my/id/eprint/58171/ http://dx.doi.org/10.11113/jt.v73.4191 |
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| Institution: | Universiti Teknologi Malaysia |
| Language: | English |