A No Parameter Synthetic Minority Oversampling Technique Based on Finch for Imbalanced Data.
Shoukun XuZhibang LiBaohua YuanGaochao YangXueyuan WangNing LiPublished in: ICIC (4) (2023)
Keyphrases
- imbalanced data
- minority class
- majority class
- class imbalance
- class distribution
- classification error
- imbalanced datasets
- original data
- sampling methods
- decision boundary
- highly imbalanced
- class imbalanced
- training dataset
- nearest neighbour
- support vector machine
- cost sensitive learning
- training data
- ensemble learning
- cost sensitive
- feature selection
- training set
- ensemble methods
- active learning
- concept drift
- random forest
- imbalanced class distribution
- feature selection algorithms
- linear regression
- decision trees
- feature extraction
- supervised learning
- test data
- high dimensionality
- pattern classification
- misclassification costs