Gao, Yunyi (2024) Prediction of Long-term Deposit Customers Using SVM Optimized with Borderline-SMOTE. In: Proceedings of the 3rd International Conference on Mathematical Statistics and Economic Analysis, MSEA 2024, May 24–26, 2024, Jinan, China.
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Abstract
As the economic situation and market environments continually evolve, the financial sector faces numerous challenges, one of which is effectively enhancing the capacity to attract long-term deposits. Long-term deposits are crucial for the stability of a bank's capital and are also a critical factor
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 18:02 |
| Last Modified: | 16 Apr 2026 22:40 |
| URI: | http://eprints.eai.eu/id/eprint/50898 |
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