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A novel ensemble feature selection method by integrating multiple ranking information combined with an SVM ensemble model for enterprise credit risk prediction in the supply chain
Research article (Expert Systems with Applications, 2022) · cited 89× · AI/ML
A novel ensemble feature selection method by integrating multiple ranking information combined with an SVM ensemble model for enterprise credit risk prediction in the supply chain
Summary
A novel ensemble feature selection method by integrating multiple ranking information combined with an SVM ensemble model for enterprise credit risk prediction in the supply chain is a scholarly article[1].
Key Facts
A novel ensemble feature selection method by integrating multiple ranking information combined with an SVM ensemble model for enterprise credit risk prediction in the supply chain's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). A novel ensemble feature selection method by integrating multiple ranking information combined with an SVM ensemble model for enterprise credit risk prediction in the supply chain. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-novel-ensemble-feature-selection-method-by-integrating-multiple-ranking-information-combined-with-an-svm-ensemble-mode
MLA“A novel ensemble feature selection method by integrating multiple ranking information combined with an SVM ensemble model for enterprise credit risk prediction in the supply chain.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-novel-ensemble-feature-selection-method-by-integrating-multiple-ranking-information-combined-with-an-svm-ensemble-mode.
BibTeX@misc{4ortxyz_a-novel-ensemble-feature-selection-method-by-integrating-multiple-ranking-information-combined-with-an-svm-ensemble-mode_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A novel ensemble feature selection method by integrating multiple ranking information combined with an SVM ensemble model for enterprise credit risk prediction in the supply chain}}, year = {2026}, url = {https://4ort.xyz/entity/a-novel-ensemble-feature-selection-method-by-integrating-multiple-ranking-information-combined-with-an-svm-ensemble-mode}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A novel ensemble feature selection method by integrating multiple ranking information combined with an SVM ensemble model for enterprise credit risk prediction in the supply chain — https://4ort.xyz/entity/a-novel-ensemble-feature-selection-method-by-integrating-multiple-ranking-information-combined-with-an-svm-ensemble-mode (retrieved 2026-05-24)
