Ant Colony Optimization Algorithm for Feature Selection in Suspicious Transaction Detection System

Author:

Niyazova Karina1,Mukasheva Assel2ORCID,Balbayev Gani3,Iliev Teodor4ORCID,Mirambayeva Nazym1,Uzakbayev Mukhamedali1

Affiliation:

1. Department of Information Technology, Non-Profit JSC “Almaty University of Power Engineering and Telecommunications Named after Gumarbek Daukeyev”, Almaty 050013, Kazakhstan

2. School of Information Technology and Engineering, Kazakh-British Technical University, Almaty 050000, Kazakhstan

3. Academy of Logistics and Transport Almaty, Almaty 050012, Kazakhstan

4. Department of Telecommunication, University of Ruse, 7004 Ruse, Bulgaria

Publisher

MDPI

Reference17 articles.

1. Chapman, R. (2023, July 01). Anti-Money Laundering: A Practical Guide to Reducing Organizational Risk, 2018, Kogan Page. Available online: https://www.perlego.com/book/1015261/antimoney-laundering-a-practical-guide-to-reducing-organizational-risk-pdf.

2. (2023, April 30). Deloitte Professional Services (DIFC) Limited, Transaction Monitoring Optimisation, Dubai, United Arab Emirates. Available online: https://www2.deloitte.com/content/dam/Deloitte/xe/Documents/finance/me_transaction-monitor-optimisation.pdf.

3. (2023, July 01). Basel Institute on Governance, 2022. Basel AML Index 2022: 11th Public Edition–Ranking Money Laundering and Terrorist Financing Risks around the World. Available online: Index.baselgovernance.org.

4. Kebbell, S. (2021). Anti-Money Laundering Compliance and the Legal Profession, Routledge.

5. Dill, A. (2021). Anti-Money Laundering Regulation and Compliance Key Problems and Practice Areas, Edward Elgar Publishing.

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