ARCID: A New Approach to Deal with Imbalanced Datasets Classification.
Safa AbdellatifMohamed Ali Ben HassineSadok Ben YahiaAmel BouzeghoubPublished in: SOFSEM (2018)
Keyphrases
- imbalanced datasets
- cost sensitive learning
- class imbalance
- decision trees
- highly skewed
- learning from imbalanced data
- imbalanced data
- support vector
- classification accuracy
- machine learning
- class distribution
- ensemble methods
- feature space
- training dataset
- decision rules
- pattern classification
- cost sensitive
- support vector machine svm
- ensemble classifier
- sampling methods
- support vector machine
- image classification
- data sets
- feature extraction
- feature vectors
- benchmark datasets
- learning models
- high dimensionality
- class labels