Incorporating qualitative information for credit risk assessment through frequent subtree mining for XML
Credit risk assessment has been one of the most appealing topics in banking and finance studies, attracting both scholars’ and practitioners’ attention for some time. Following the success of the Grameen Bank, works on credit risk, in particular for Small Medium Enterprises (SMEs), have become essen...
| Main Authors: | Ikasari, Novita, Hadzic, Fedja, Dillon, Tharam |
|---|---|
| Other Authors: | Andrea Tagarelli |
| Format: | Book Chapter |
| Published: |
IGI Global
2011
|
| Online Access: | http://hdl.handle.net/20.500.11937/29489 |
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