A self-adaptive synthetic over-sampling technique for imbalanced classification.
Xiaowei GuPlamen P. AngelovEduardo A. SoaresPublished in: Int. J. Intell. Syst. (2020)
Keyphrases
- class imbalance
- decision trees
- imbalanced data
- classification accuracy
- cost sensitive
- benchmark datasets
- machine learning
- imbalanced datasets
- minority class
- cost sensitive learning
- nearest neighbour
- classification systems
- classification scheme
- automatic classification
- classification rules
- classification algorithm
- feature selection
- model selection
- image classification
- pattern recognition
- support vector
- decision rules
- feature extraction
- text classification
- class distribution
- multi class
- support vector machine
- feature vectors
- imbalanced data sets
- real world
- pattern classification
- machine learning methods
- classification method
- class labels