A novel synthetic minority oversampling technique based on relative and absolute densities for imbalanced classification.
Ruijuan LiuPublished in: Appl. Intell. (2023)
Keyphrases
- class imbalance
- minority class
- majority class
- class imbalanced
- class distribution
- imbalanced data
- support vector machine
- classification accuracy
- imbalanced data sets
- real world
- pattern classification
- feature selection
- classification error
- feature extraction
- image classification
- support vector machine svm
- machine learning
- classification algorithm
- nearest neighbour
- training dataset
- feature space
- decision trees
- imbalanced datasets
- binary classification problems
- cost sensitive learning
- decision boundary
- classification scheme
- active learning
- classification method
- text classification
- support vector
- rare events
- single class
- neural network
- binary classification
- classification models
- cost sensitive
- machine learning methods
- decision rules
- machine learning algorithms
- feature vectors