Combining oversampling and undersampling techniques for imbalanced classification: A comparative study using credit card fraudulent transaction dataset.
Haziqah ShamsudinUmi Kalsom YusofAndal JayalakshmiMohd Nor Akmal KhalidPublished in: ICCA (2020)
Keyphrases
- credit card
- class imbalance
- payment scheme
- fraud detection
- multiple criteria linear programming
- cost sensitive
- transaction data
- class distribution
- trusted third party
- mobile payment
- payment protocol
- active learning
- majority class
- cost sensitive learning
- credit card fraud detection
- classification accuracy
- imbalanced data
- bankruptcy prediction
- multi class
- minority class
- high dimensionality
- decision trees
- imbalanced datasets
- machine learning
- feature set
- financial data
- sampling methods
- feature space
- training dataset
- training set
- concept drift
- class labels
- learning vector quantization
- text classification
- image classification
- feature selection