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Revisiting Gradient Boosting-Based Approaches for Learning Imbalanced Data: A Case of Anomaly Detection on Power Grids.

Maya Hilda Lestari LoukBayu Adhi Tama
Published in: Big Data Cogn. Comput. (2022)
Keyphrases
  • anomaly detection
  • learning process
  • intrusion detection
  • learning algorithm
  • unsupervised learning
  • supervised learning
  • active learning
  • learning tasks
  • training data
  • dimensionality reduction
  • learning scheme