KerMinSVM for imbalanced datasets with a case study on arabic comics classification.
Ammar NayalHadi S. JomaaMariette AwadPublished in: Eng. Appl. Artif. Intell. (2017)
Keyphrases
- imbalanced datasets
- cost sensitive learning
- class imbalance
- decision trees
- imbalanced data
- feature selection algorithms
- learning from imbalanced data
- support vector machine
- sampling methods
- machine learning
- highly skewed
- class distribution
- feature selection
- cost sensitive
- machine learning algorithms
- text classification
- feature vectors
- classification rules
- pattern classification
- ensemble methods
- classification accuracy
- training set
- machine learning methods
- prediction accuracy
- support vector machine svm
- training dataset
- feature set
- multi class
- imbalanced class distribution
- feature space