Active learning for class imbalance problem.
Seyda ErtekinJian HuangC. Lee GilesPublished in: SIGIR (2007)
Keyphrases
- class imbalance
- active learning
- cost sensitive learning
- cost sensitive
- machine learning
- sampling methods
- binary classification
- learning algorithm
- training set
- supervised learning
- random sampling
- small disjuncts
- majority class
- semi supervised
- imbalanced class distribution
- imbalanced datasets
- training examples
- generalization error
- class distribution
- unlabeled data
- misclassification costs
- semi supervised learning
- rare events
- learning process
- decision trees
- data mining
- minority class
- nearest neighbor
- training data
- imbalanced data sets
- data streams