On the Potential of Network-Based Features for Fraud Detection
By Catayoun Azarm, Erman Acar, Mickey van Zeelt
Rating
1402
Battle Count: 19
Relevance
7/10
While focused on fraud detection, the network-based approach could be adapted for detecting anomalies in trading patterns or assessing counterparty risk.
Implementation Complexity
6/10
Requires implementation of personalized PageRank and integration with existing fraud detection systems. Complexity increases with large-scale transaction networks.
Reproducibility
3/5
The paper provides details on the methodology and features used, but the dataset is proprietary and not publicly available.
About this paper
Methodology: Logistic Regression with Network Features. Problem types: Classification, Anomaly Detection.
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