A Hierarchical Clustering Strategy of Processing Class Imbalance and Its Application in Fraud Detection.
Youjun ZhangGuanjun LiuLutao ZhengChungang YanPublished in: HPCC/SmartCity/DSS (2019)
Keyphrases
- fraud detection
- class imbalance
- cost sensitive
- rare events
- class distribution
- cost sensitive learning
- imbalanced datasets
- multi class
- misclassification costs
- active learning
- sampling methods
- social network analysis
- naive bayes
- outlier detection
- data mining techniques
- data mining
- minority class
- multi label
- online auctions
- high dimensionality
- intrusion detection
- unsupervised learning
- supervised learning
- support vector machine
- prior knowledge
- support vector
- feature extraction
- face recognition