Financial Fraud Detection: a New Ensemble Learning Approach for Imbalanced Data.
Yiyang BianMin ChengChen YangYuan YuanQing LiJ. Leon ZhaoLiang LiangPublished in: PACIS (2016)
Keyphrases
- fraud detection
- ensemble learning
- imbalanced data
- ensemble methods
- ensemble classifier
- cost sensitive
- base classifiers
- outlier detection
- random forest
- generalization ability
- data mining techniques
- data mining
- minority class
- online auctions
- class imbalance
- concept drift
- class distribution
- decision trees
- base learners
- prediction accuracy
- benchmark datasets
- multi class
- machine learning methods
- active learning
- neural network
- misclassification costs