An integrated Machine Learning framework for fraud detection: a comparative and comprehensive approach
The research develops a practical Machine Learning framework with a comparative and comprehensive approach to sequence-learn and then detect the online banking payment fraud. The integrated framework introduces exploratory analysis and feature engineering, multiple modelling and performance comparis...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IGI Global
2022
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| Subjects: | |
| Online Access: | https://repository.londonmet.ac.uk/7194/1/An%20integrated%20Machine%20Learning%20framework%20for%20fraud%20detection.pdf |