https://github.com/umitkaanusta/fraudringdetection-trustnetworks-trying-new-approach

Detecting fraud rings in a p2p trust network with high AUC score (better than 9 of 10 well-known algorithms)* using basic and intuitive trust metrics
https://github.com/umitkaanusta/fraudringdetection-trustnetworks-trying-new-approach

data-science fraud fraud-detection graph graph-theory machine-learning network network-science social-network-analysis

Last synced: 3 months ago
JSON representation

Detecting fraud rings in a p2p trust network with high AUC score (better than 9 of 10 well-known algorithms)* using basic and intuitive trust metrics

• Host: GitHub
• URL: https://github.com/umitkaanusta/fraudringdetection-trustnetworks-trying-new-approach
• Owner: umitkaanusta
• License: mit
• Created: 2021-07-05T13:14:18.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2021-07-11T18:45:49.000Z (over 3 years ago)
• Last Synced: 2024-10-15T05:13:16.557Z (4 months ago)
• Topics: data-science, fraud, fraud-detection, graph, graph-theory, machine-learning, network, network-science, social-network-analysis
• Language: Jupyter Notebook
• Homepage:
• Size: 5.31 MB
• Stars: 4
• Watchers: 2
• Forks: 2
• Open Issues: 0

Awesome Lists containing this project