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A study on improving turnover intention forecasting by solving imbalanced data problems: focusing on SMOTE and generative adversarial networks.

Jungryeol ParkSundong KwonSeon-Phil Jeong
Published in: J. Big Data (2023)
Keyphrases
  • imbalanced data
  • class distribution
  • imbalanced datasets
  • feature selection
  • high dimensional
  • semi supervised learning
  • test set
  • high dimensionality
  • class imbalance