Temporal graph for fraud detection and analytics
Representing time-based transactions as graphs offers insights for fraud detection. However, limited and confidential datasets pose challenges. To address this, the project aims to assess the quality of generative model by using the generated data in training the fraud classifier model. A generative...
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| Format: | Undergraduates Project Papers |
| Language: | English |
| Published: |
2023
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| Online Access: | https://umpir.ump.edu.my/id/eprint/45575/ |