Improving imbalanced classification using near-miss instances.
Akira TanimotoSo YamadaTakashi TakenouchiMasashi SugiyamaHisashi KashimaPublished in: Expert Syst. Appl. (2022)
Keyphrases
- pattern recognition
- classification accuracy
- decision trees
- pattern classification
- feature selection
- automatic classification
- feature vectors
- machine learning methods
- text classification
- decision rules
- imbalanced datasets
- class imbalance
- benchmark data sets
- classification method
- machine learning
- supervised learning
- image classification
- feature set
- feature space
- single class
- classification systems
- instance selection
- minority class
- classification scheme
- rare class
- data stream classification
- imbalanced data sets
- feature extraction
- naive bayes
- support vector
- randomly generated
- training set
- support vector machine svm