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Enterprise credit risk prediction using supply chain information: A decision tree ensemble model based on the differential sampling rate, Synthetic Minority Oversampling Technique and AdaBoost.

Gang YaoXiaojian HuTaiyun ZhouYue Zhang
Published in: Expert Syst. J. Knowl. Eng. (2022)
Keyphrases
  • supply chain
  • decision trees
  • sampling rate
  • supply chain management
  • training data
  • learning algorithm
  • bullwhip effect
  • credit risk
  • decision making
  • reinforcement learning
  • text mining
  • prediction model
  • service level