Chain based sampling for monotonic imbalanced classification.
Sergio GonzálezSalvador GarcíaSheng-Tun LiFrancisco HerreraPublished in: Inf. Sci. (2019)
Keyphrases
- pattern recognition
- classification scheme
- classification algorithm
- imbalanced data
- automatic classification
- feature vectors
- image classification
- feature extraction
- class imbalance
- minority class
- support vector machine svm
- imbalanced datasets
- support vector
- sampling methods
- imbalanced data sets
- machine learning
- highly skewed
- class distribution
- classification method
- benchmark datasets
- training samples
- feature space
- classification models
- pattern classification
- classification systems
- classification process
- sampling algorithm
- monte carlo
- text classification
- semi supervised