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A novel framework of credit risk feature selection for SMEs during industry 4.0
With the development of industry 4.0, the credit data of SMEs are characterized by a large volume, high speed, diversity and low-value density. How to select the key features that affect the credit risk from the high-dimensional data has become the critical point to accurately measure the credit ris...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9309243/ https://www.ncbi.nlm.nih.gov/pubmed/35910041 http://dx.doi.org/10.1007/s10479-022-04849-3 |