Comparison of individual, ensemble and integrated ensemble machine learning methods to predict China’s SME credit risk in supply chain finance

Supply chain finance (SCF) becomes more important for small- and medium-sized enterprises (SMEs) due to global credit crunch, supply chain financing woes and tightening credit criteria for corporate lending. Currently, predicting SME credit risk is significant for guaranteeing SCF in smooth operatio...

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Veröffentlicht in:	Neural computing & applications 2017-12, Vol.28 (Suppl 1), p.41-50
Hauptverfasser:	Zhu, You, Xie, Chi, Wang, Gang-Jin, Yan, Xin-Guo
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Data Mining and Knowledge Discovery Finance Financing Image Processing and Computer Vision Machine learning Original Article Probability and Statistics in Computer Science Risk Small business Stock exchanges Supply chains
Online-Zugang:	Volltext
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