Improving Electric Fraud Detection using Class Imbalance Strategies.
Matías Di MartinoFederico DeciaJuan MolinelliAlicia FernándezPublished in: ICPRAM (2) (2012)
Keyphrases
- fraud detection
- class imbalance
- cost sensitive
- rare events
- class distribution
- imbalanced datasets
- cost sensitive learning
- active learning
- online auctions
- multi class
- misclassification costs
- sampling methods
- outlier detection
- data mining
- data mining techniques
- minority class
- naive bayes
- high dimensionality
- social network analysis
- feature selection
- concept drift
- test data
- text categorization