Adaptive semi-unsupervised weighted oversampling (A-SUWO) for imbalanced datasets.
Iman NekooeimehrSusana K. Lai-YuenPublished in: Expert Syst. Appl. (2016)
Keyphrases
- imbalanced datasets
- class imbalance
- sampling methods
- learning from imbalanced data
- minority class
- class distribution
- cost sensitive learning
- majority class
- active learning
- decision trees
- training dataset
- ensemble methods
- unsupervised learning
- supervised learning
- semi supervised
- feature selection algorithms
- imbalanced data
- cost sensitive
- data sets
- genetic algorithm ga
- semi supervised learning
- feature selection
- learning algorithm
- machine learning
- neural network