Adaptive over-sampling method for classification with application to imbalanced datasets in aluminum electrolysis.
Zhaoke HuangChunhua YangXiaofang ChenKeke HuangYongfang XiePublished in: Neural Comput. Appl. (2020)
Keyphrases
- imbalanced datasets
- class imbalance
- cost sensitive learning
- support vector machine
- feature selection
- learning from imbalanced data
- machine learning
- decision trees
- classification accuracy
- highly skewed
- feature extraction
- support vector
- class distribution
- classification rules
- multi class
- cost sensitive
- classification models
- support vector machine svm
- training dataset
- supervised learning
- training set
- feature vectors
- classification algorithm
- selection algorithm
- image classification