Explainable deep learning model for predicting money laundering transactions
Authors
Dattatray Vishnu Kute
Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS), Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, Australia
Biswajeet Pradhan
Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS), Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, Australia
Nagesh Shukla
Department of Business Strategy and Innovation, Griffith Business School, Griffith University Brisbane, Australia
Abdullah Alamri
Department of Geology and Geophysics, College of Science, King Saud University, Riyadh, Saudi Arabia
DOI: https://doi.org/10.2478/ijssis-2024-0027 | Journal eISSN: 1178-5608
Language: English
Submitted on: Apr 10, 2024
Published on: Jul 24, 2024
Published by: Macquarie University, Australia
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
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© 2024 Dattatray Vishnu Kute, Biswajeet Pradhan, Nagesh Shukla, Abdullah Alamri, published by Macquarie University, Australia
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.