Collection of research articles on ad fraud detection in digital advertising via data mining and machine learning techniques
Open issues for research:
- Incremental data models to detect evolving nature of fraud
- Identify coalition among fraudsters
- Transfer learning- utilise info from frauds in other domains
- Devise methods that work in contrained labeling scenarios