Evaluation of Deep Neural Networks for Reduction of Credit Card Fraud Alerts

Evaluation of Deep Neural Networks for Reduction of Credit Card Fraud Alerts

Fraud detection systems support advanced detection techniques based on complex rules, statistical modelling and machine learning. However, alerts triggered by these systems still require expert judgement to either confirm a fraud case or discard a false positive. Reducing the number of false positiv...

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Bibliographic Details
Main Authors: Rafael San Miguel Carrasco, Miguel-Angel Sicilia-Urban
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Neural networks
deep learning
fraud detection
alert reduction
Online Access:https://ieeexplore.ieee.org/document/9204699/

Internet

https://ieeexplore.ieee.org/document/9204699/

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