Selective costing ensemble for handling imbalanced data sets.
Sotiris B. KotsiantisPanayiotis E. PintelasPublished in: Int. J. Hybrid Intell. Syst. (2009)
Keyphrases
- imbalanced data sets
- imbalanced data
- class distribution
- ensemble methods
- benchmark data sets
- concept learning
- ensemble learning
- random forest
- rare events
- training set
- random forests
- training data
- class imbalance
- neural network
- base classifiers
- decision trees
- linear regression
- data sets
- data streams
- regression problems
- minority class
- feature selection
- data generation