FDHelper: Assist Unsupervised Fraud Detection Experts with Interactive Feature Selection and Evaluation.
Jiao SunYin LiCharley ChenJihae LeeXin LiuZhongping ZhangLing HuangLei ShiWei XuPublished in: CHI (2020)
Keyphrases
- fraud detection
- feature selection
- cost sensitive
- network intrusion detection
- outlier detection
- credit card fraud detection
- data mining techniques
- unsupervised learning
- rare events
- data mining
- dimensionality reduction
- credit card
- intrusion detection
- financial institutions
- unsupervised feature selection
- spam detection
- text categorization
- feature set
- classification accuracy
- feature extraction
- machine learning
- database
- association rules
- support vector
- learning algorithm
- counter terrorism
- credit card fraud