Augmentation Based Synthetic Sampling and Ensemble Techniques for Imbalanced Data Classification.
Wakjira Mulugeta AsefawRonghua ShangMichael Aggrey OkothLicheng JiaoPublished in: IFIP TC12 ICIS (2022)
Keyphrases
- imbalanced data classification
- feature selection
- minority class
- ensemble learning
- random sampling
- active learning
- training set
- sampling methods
- neural network
- random forest
- random forests
- ensemble methods
- class imbalance
- base learners
- data distribution
- base classifiers
- text categorization
- supervised learning
- estimation error
- classification error
- decision boundary
- training data