The application of synthetic data generation and data-driven modelling in the development of a fraud detection system for fuel bunkering
As industry continues to embrace Industry 4.0, many sectors now seek to automate fraud detection to ensure reduced financial exposure. However, the data-driven models which are commonly used in the development of such ‘digital solutions’ rely on ‘supervised’ learning techniques which require high re...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2021-12-01
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| Series: | Measurement: Sensors |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2665917421001884 |