A supervised learning approach for imbalanced data sets.
Giang Hoang NguyenAbdesselam BouzerdoumSon Lam PhungPublished in: ICPR (2008)
Keyphrases
- imbalanced data sets
- supervised learning
- unsupervised learning
- benchmark data sets
- class distribution
- imbalanced data
- training data
- training set
- concept learning
- rare events
- reinforcement learning
- active learning
- semi supervised
- unlabeled data
- labeled data
- class imbalance
- roc curve
- training examples
- learning problems
- learning algorithm
- data sets
- generalization error
- semi supervised learning
- data generation
- learning tasks
- class labels
- machine learning
- data mining
- decision trees
- minority class
- ensemble methods
- training samples