Solving the False Positives Problem in Fraud Prediction Using Automated Feature Engineering.
Roy WedgeJames Max KanterKalyan VeeramachaneniSantiago Moral-RubioSergio Iglesias PerezPublished in: ECML/PKDD (3) (2018)
Keyphrases
- false positives
- feature engineering
- false negative
- dependency parsing
- detection rate
- false positive rate
- text classification
- true positive
- number of false positives
- low false positive rate
- false alarms
- anomaly detection
- labeled data
- natural language processing
- speech processing
- data mining techniques
- object detection
- similarity measure
- knowledge base
- information retrieval
- neural network
- data sets