Relevant bibliographies by topics / Anti-Money Laundering Recognition

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  2. Dissertations / Theses
  3. Conference papers

Academic literature on the topic 'Anti-Money Laundering Recognition'

Author: Grafiati
Published: 4 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Anti-Money Laundering Recognition"

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H, S. Vijay Kumar, and Roopashree GR. "Intelligent Anti-Money Laundering System for Money Service Business." COMPUSOFT: An International Journal of Advanced Computer Technology 03, no. 06 (2014): 868–72. https://doi.org/10.5281/zenodo.14742654.

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The criminal individuals and organizations in today's world including terrorists have taken advantage of the available financial systems, to launder money from illegal proceeds and for their illegal activities. India is particularly under threat from terrorists and it also has been difficult to track down the finance of criminal elements. Developing effective suspicious activity detection models has drawn more and more interests for supervision agencies and financial institutions in their efforts to combat money laundering.   This paper proposes a suspicious activity recognition method ba
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Naresh, Babu Bynagari, and Al Ayub Ahmed Alim. "Anti-Money Laundering Recognition through the Gradient Boosting Classifier." Academy of Accounting and Financial Studies Journal 25, no. 5 (2021): 1–11. https://doi.org/10.5281/zenodo.5523918.

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Perhaps the most disturbing danger to the solidness and progress of the economy of the world is the beast called illegal tax avoidance. To forestall this beast and the frightful harms it causes, certain rules are set up. These rules are called Against Cash rules. For a smooth methodology concerning tax evasion, it has been suggested that monetary establishments move away from moving toward those that are rule-arranged and hazardous, to those that current danger as their principal drivers. This research aims to explore the exhibition of a slope boosting calculation in distinguishing tax evasion
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Rao, GuoLi, Zhuxuanzi Wang, and Jiayu Liang. "Reinforcement Learning for Pattern Recognition in Cross-Border Financial Transaction Anomalies: A Behavioral Economics Approach to AML." Applied and Computational Engineering 142, no. 1 (2025): 116–27. https://doi.org/10.54254/2755-2721/2025.kl22287.

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This paper presents a novel approach to anti-money laundering (AML) in cross-border financial transactions by integrating reinforcement learning (RL) with behavioral economics principles. The research addresses critical limitations in traditional AML systems by conceptualizing money laundering detection as a sequential decision-making problem where detection policies adapt to evolving criminal strategies. We develop a specialized methodology that incorporates multi-level data representations, behavioral feature extraction algorithms, and a composite reward function designed to balance detectio
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Xu, Haosen, Keke Yu, Ming Wei, and Yida Zhu. "Intelligent Anti-Money Laundering Transaction Pattern Recognition System Based on Graph Neural Networks." Journal of AI-Powered Medical Innovations (International online ISSN 3078-1930) 2, no. 1 (2024): 93–108. https://doi.org/10.60087/vol2iisue1.p007.

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This paper presents a new Intelligent Anti-Money Laundering Transaction Pattern Recognition System based on Graph Neural Networks (GNNs). The proposed system addresses the limitations of traditional anti-money laundering (AML) by leveraging the power of image representation and deep learning techniques. We introduce general methods for creating financial networks based on different shapes, including structural and physical. A custom GNN architecture is designed, featuring heterogeneous graph convolution, listening mechanisms, and physical models to capture the exchange patterns. The system use
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Song, Jialin, and Yijun Gu. "HBTBD: A Heterogeneous Bitcoin Transaction Behavior Dataset for Anti-Money Laundering." Applied Sciences 13, no. 15 (2023): 8766. http://dx.doi.org/10.3390/app13158766.

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In this paper, we predict money laundering in Bitcoin transactions by leveraging a deep learning framework and incorporating more characteristics of Bitcoin transactions. We produced a dataset containing 46,045 Bitcoin transaction entities and 319,311 Bitcoin wallet addresses associated with them. We aggregated this information to form a heterogeneous graph dataset and propose three metapath representations around transaction entities, which enrich the characteristics of Bitcoin transactions. Then, we designed a metapath encoder and integrated it into a heterogeneous graph node embedding metho
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Frater, T. "Positive recognition for the BVI for its anti-money laundering standards." Trusts & Trustees 15, no. 3 (2009): 127. http://dx.doi.org/10.1093/tandt/ttp013.

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Pereverzyeva, Оlga, and Vasif Gadjiev. "Features of legal nature Financial Action Task Force on Money Laundering FATF." Law Review of Kyiv University of Law, no. 3 (November 10, 2020): 370–74. http://dx.doi.org/10.36695/2219-5521.3.2020.21.

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The article is devoted to the peculiarities of the legal nature of FATF, the process of its creation, the legal principles of activity,as well as the speciality of its legal entity. Attention is also devoted to the main Conventions, which were signed on the eve of The FirstWorld War and after The Second World War and shows the main preconditions and reasons for the creation of the intergovernmentalorganization FATF.The ongoing growth of the drug business, the expansion of its geographical boundaries, increasingly sophisticated and dangerousforms of this criminal business, the struggle of state
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Pereverzyeva, Оlga, and Vasif Gadjiev. "Features of legal nature Financial Action Task Force on Money Laundering FATF." Law Review of Kyiv University of Law, no. 3 (November 10, 2020): 370–74. http://dx.doi.org/10.36695/2219-5521.3.2020.68.

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The article is devoted to the peculiarities of the legal nature of FATF, the process of its creation, the legal principles of activity,as well as the speciality of its legal entity. Attention is also devoted to the main Conventions, which were signed on the eve of The FirstWorld War and after The Second World War and shows the main preconditions and reasons for the creation of the intergovernmentalorganization FATF.The ongoing growth of the drug business, the expansion of its geographical boundaries, increasingly sophisticated and dangerousforms of this criminal business, the struggle of state
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Subbagari, Saikiran. "Leveraging Optical Character Recognition Technology for Enhanced Anti-Money Laundering (AML) Compliance." International Journal of Computer Science and Engineering 10, no. 5 (2023): 1–7. http://dx.doi.org/10.14445/23488387/ijcse-v10i5p102.

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Bi, Wenyu, Toan Khang Trinh, and Shukai Fan. "Machine Learning-Based Pattern Recognition for Anti-Money Laundering in Banking Systems." Journal of Advanced Computing Systems 4, no. 11 (2024): 30–41. https://doi.org/10.69987/jacs.2024.41103.

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Dissertations / Theses on the topic "Anti-Money Laundering Recognition"

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Righi, Silvia. "La lutte contre la criminalité et la sauvegarde des droits et des libertés fondamentales dans l'Union européenne." Thesis, Strasbourg, 2014. http://www.theses.fr/2014STRAA013.

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La recherche vise à vérifier si et comment, au niveau de l’UE, la lutte contre la criminalité (surtout organisée) est conduite dans le respect de droits et libertés fondamentales, et si la coopération en matière entre les États membres peut promouvoir des standards de protection élevés et homogènes. La traditionnelle reluctance des États à confier les relatives compétences à l’Union a fortement entravé le développement d’un « espace de liberté, sécurité et justice » équilibré. Aujourd’hui le Traité de Lisbonne fournit des outils importants. Après avoir présenté la sécurité dans l’UE, j’aborde
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Conference papers on the topic "Anti-Money Laundering Recognition"

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Lin-Tao Lv, Na Ji, and Jiu-Long Zhang. "A RBF neural network model for anti-money laundering." In 2008 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR). IEEE, 2008. http://dx.doi.org/10.1109/icwapr.2008.4635778.

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Dhillon, Guru, and Sook Ling Lee. "MONEY LAUNDERING ACTIVITIES ARE BORDERLESS IN THE MODERN WORLD � AN INSIGHT." In 9th SWS International Scientific Conferences on SOCIAL SCIENCES - ISCSS 2022. SGEM WORLD SCIENCE, 2022. http://dx.doi.org/10.35603/sws.iscss.2022/s02.013.

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Money laundering (�ML�) crimes started getting world-wide recognition in the 1980s. Governments started becoming aware of the huge profits generated from such criminal activities and this created the impetus for governments to come up with anti-money laundering mechanisms to stop criminals enjoying their illicit gains. In the yesteryears, money laundering was strictly associated with financial transactions that happened in organized crime but nowadays money laundering activities have expanded into various other spheres. This trend has to be curtailed or else this growing menace will envelop ev
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You might also be interested in the extended bibliographies on the topic 'Anti-Money Laundering Recognition' for particular source types:
Journal articles
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