Temporal graph for fraud detection and analytics

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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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Bibliographic Details
Main Author:	Leong, Teng Man
Format:	Undergraduates Project Papers
Language:	English
Published:	2023
Subjects:	Q Science (General) QA Mathematics
Online Access:	https://umpir.ump.edu.my/id/eprint/45575/

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