Evolutionary under-sampling based bagging ensemble method for imbalanced data classification.
Bo SunHaiyan ChenJiandong WangHua XiePublished in: Frontiers Comput. Sci. (2018)
Keyphrases
- ensemble methods
- imbalanced data classification
- prediction accuracy
- feature selection
- ensemble learning
- rotation forest
- random forests
- benchmark datasets
- decision trees
- machine learning methods
- random forest
- base classifiers
- generalization ability
- base learners
- ensemble members
- feature subset
- genetic algorithm
- active learning
- ensemble classifier
- minority class
- data mining
- subspace methods
- machine learning
- text classification