Applying adaptive over-sampling technique based on data density and cost-sensitive SVM to imbalanced learning.
Senzhang WangZhoujun LiWen-Han ChaoQinghua CaoPublished in: IJCNN (2012)
Keyphrases
- cost sensitive
- data sets
- training data
- data analysis
- learning process
- prior knowledge
- missing data
- class distribution
- cost sensitive learning
- active learning
- data points
- misclassification costs
- supervised learning
- missing values
- support vector machine svm
- class imbalance
- learning models
- learning problems
- support vector machine
- learning algorithm