Supply chain finance credit risk assessment using support vector machine–based ensemble improved with noise elimination
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DOI: 10.1177/1550147720903631
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References listed on IDEAS
- René Caldentey & Martin B. Haugh, 2009. "Supply Contracts with Financial Hedging," Operations Research, INFORMS, vol. 57(1), pages 47-65, February.
- Jie Cao & Hongke Lu & Weiwei Wang & Jian Wang, 2012. "A Novel Five-Category Loan-Risk Evaluation Model Using Multiclass Ls-Svm By Pso," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 11(04), pages 857-874.
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- Ma, Rui & Mao, Di & Cao, Dongmei & Luo, Shuai & Gupta, Suraksha & Wang, Yichuan, 2024. "From vineyard to table: Uncovering wine quality for sales management through machine learning," Journal of Business Research, Elsevier, vol. 176(C).
- Haibo Wang & Lutfu S. Sua & Bahram Alidaee, 2024. "Enhancing supply chain security with automated machine learning," Papers 2406.13166, arXiv.org.
- Meiyan Li & Yingjun Fu, 2022. "Prediction of Supply Chain Financial Credit Risk Based on PCA-GA-SVM Model," Sustainability, MDPI, vol. 14(24), pages 1-21, December.
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Keywords
Support vector machines; supply chain financing; credit risk; ensemble learning; noisy training dataset; fuzzy clustering;All these keywords.
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