On the Potential of Network‑Based Features for Fraud Detection
Online transaction fraud poses significant challenges to businesses and consumers, with rule‑based systems struggling to keep up. Machine learning, particularly personalized PageRank (PPR), offers promise by analyzing account relationships. Results show PPR enhances fraud detection models, providing valuable insights and stable features across datasets, improving predictive power.