Construction of a credit scoring model using data envelopment analysis and support vector machine for evaluating and improving customers’ contribution.
碩士 === 輔仁大學 === 管理學研究所 === 96 === Clustering and Classification are the most popular techniques in credit scoring. Most of the credit scoring models are two stages combined by clustering and classification. However, most of the hybrid models are lack of revising abilities. To overcome this limitatio...
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2008
|
| Online Access: | http://ndltd.ncl.edu.tw/handle/23021583531464559740 |