Explainable deep learning model for predicting money laundering transactions

Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS), Faculty of Engineering and Information Technology, University of Technology SydneySydney, Australia

Pradhan, Biswajeet

Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS), Faculty of Engineering and Information Technology, University of Technology SydneySydney, Australia

Shukla, Nagesh

Department of Business Strategy and Innovation, Griffith Business School, Griffith University BrisbaneAustralia

Alamri, Abdullah

Department of Geology and Geophysics, College of Science, King Saud UniversityRiyadh, Saudi Arabia

Language:: English

Publication timeframe:: 1 times per year
Journal Subjects:: Engineering, Introductions and Overviews, Engineering, other

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Explainable deep learning model for predicting money laundering transactions

Dattatray Vishnu Kute

Biswajeet Pradhan

Nagesh Shukla

Abdullah Alamri

Article Category: Article

Published Online: Jul 24, 2024

Received: Apr 10, 2024

DOI: https://doi.org/10.2478/ijssis-2024-0027

Keywordsdeep learning, explainable AI, financial crime, money laundering, SHAP, suspicious transaction, CNN

© 2024 Dattatray Vishnu Kute et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Keywords
deep learning, explainable AI, financial crime, money laundering, SHAP, suspicious transaction, CNN