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Ordering-based pruning for improving the performance of ensembles of classifiers in the framework of imbalanced datasets.

Mikel GalarAlberto FernándezEdurne BarrenecheaHumberto BustinceFrancisco Herrera
Published in: Inf. Sci. (2016)
Keyphrases
  • imbalanced data
  • imbalanced datasets
  • decision trees
  • ensemble learning
  • feature selection
  • machine learning
  • support vector
  • classification algorithm
  • ensemble methods
  • sampling methods
  • learning from imbalanced data