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A guided oversampling technique to improve the prediction of software fault-proneness for imbalanced data.

Raed ShatnawiZiad Al-Sharif
Published in: Int. J. Knowl. Eng. Data Min. (2012)
Keyphrases
  • imbalanced data
  • class imbalance
  • prediction accuracy
  • least squares
  • support vector machine
  • ensemble classifier
  • data sets
  • neural network
  • machine learning
  • ensemble methods
  • sampling methods