Anti-Money Laundering: Using data visualization to identify suspicious activity-Reference-Cited by-同舟云学术

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Anti-Money Laundering: Using data visualization to identify suspicious activity

Published:2019-09 Issue: Volume:34 Page:100418
ISSN:1467-0895
Container-title:International Journal of Accounting Information Systems
language:en
Short-container-title:International Journal of Accounting Information Systems

Author:

Singh Kishore,Best Peter

Publisher

Elsevier BV

Subject

Information Systems and Management,Finance,Accounting,Management Information Systems

Reference56 articles.

1. Fraud Examiners Manual;ACFE,2016

2. Visualizing time-oriented data—a systematic view;Aigner;Comput. Graph.,2007

3. Money Laundering in Australia 2011;AUSTRAC,2011

4. Money Laundering Methodologies;AUSTRAC,2014

5. AML/CTF Countermeasures;AUSTRAC,2016

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1. Generative AI for Threat Hunting and Behaviour Analysis;Advances in Digital Crime, Forensics, and Cyber Terrorism;2024-09-13

2. Money Laundering: A Review of Literature and Future Research;Information Management and Business Review;2024-09-06

3. The role of data visualization in auditing: a systematic literature review;Cogent Business & Management;2024-07-17

4. The role of big data in financial technology toward financial inclusion;Frontiers in Big Data;2024-05-07

5. Identifying the AI-based solutions proposed for restricting Money Laundering in Financial Sectors: Systematic Mapping;Applied Artificial Intelligence;2024-04-22

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