Добірка наукової літератури з теми "Financial crime detection"
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Статті в журналах з теми "Financial crime detection"
Slinko, Sergey V., Pylyp S. Yepryntsev, Artem O. Shapar, Dmytro B. Sanakoiev, and Alina H. Harkusha. "Modern indicators of financial crimes detection and their prevention in Ukraine." Revista Amazonia Investiga 10, no. 44 (September 29, 2021): 61–72. http://dx.doi.org/10.34069/ai/2021.44.08.6.
Повний текст джерелаSlinko, Sergey V., Pylyp S. Yepryntsev, Artem O. Shapar, Dmytro B. Sanakoiev, and Alina H. Harkusha. "Modern indicators of financial crimes detection and their prevention in Ukraine." Revista Amazonia Investiga 10, no. 44 (September 29, 2021): 61–72. http://dx.doi.org/10.34069/ai/2021.44.08.6.
Повний текст джерелаDidimo, Walter, Giuseppe Liotta, and Fabrizio Montecchiani. "Network visualization for financial crime detection." Journal of Visual Languages & Computing 25, no. 4 (August 2014): 433–51. http://dx.doi.org/10.1016/j.jvlc.2014.01.002.
Повний текст джерелаOKSANA VIVCHAR. "ORGANIZATIONAL AND LEGAL MECHANISM OF FINANCIAL INVESTIGATIONS IN LAW ENFORCEMENT ACTIVITY: INFORMATION AND ANALYTICAL APPROACH." Herald of Khmelnytskyi National University 294, no. 3 (March 2021): 82–86. http://dx.doi.org/10.31891/2307-5740-2021-294-3-13.
Повний текст джерелаBrody, Richard G., and Frank S. Perri. "Fraud detection suicide: the dark side of white-collar crime." Journal of Financial Crime 23, no. 4 (October 3, 2016): 786–97. http://dx.doi.org/10.1108/jfc-09-2015-0043.
Повний текст джерелаVasylchyshyn, Oleksandra, and Olena Sydorovych. "INSTITUTIONS OF CIVIL SOCIETY AS SUBJECTS OF FIGHT AGAINST FINANCIAL CRIMES." Economic Analysis, no. 30(4) (2020): 109–17. http://dx.doi.org/10.35774/econa2020.04.109.
Повний текст джерелаKurshan, Eren, and Hongda Shen. "Graph Computing for Financial Crime and Fraud Detection: Trends, Challenges and Outlook." International Journal of Semantic Computing 14, no. 04 (December 2020): 565–89. http://dx.doi.org/10.1142/s1793351x20300022.
Повний текст джерелаKim, Ae Chan, Seongkon Kim, Won Hyung Park, and Dong Hoon Lee. "Fraud and financial crime detection model using malware forensics." Multimedia Tools and Applications 68, no. 2 (April 3, 2013): 479–96. http://dx.doi.org/10.1007/s11042-013-1410-3.
Повний текст джерелаGottschalk, Petter. "White-collar crime." International Journal of Police Science & Management 19, no. 2 (June 2017): 120–26. http://dx.doi.org/10.1177/1461355717711453.
Повний текст джерелаZavydnyak, I. О. "Legalization «laundering» of funds obtained by criminal route as one of the types of economic transnational crimes." Analytical and Comparative Jurisprudence, no. 4 (April 28, 2022): 313–17. http://dx.doi.org/10.24144/2788-6018.2021.04.54.
Повний текст джерелаДисертації з теми "Financial crime detection"
Canhoto, Ana Isabel. "Profiling behaviour : the social construction of categories in the detection of financial crime." Thesis, London School of Economics and Political Science (University of London), 2007. http://etheses.lse.ac.uk/2154/.
Повний текст джерелаPalmeiro, João Maria Mateus. "MevaL: A Visual Machine Learning Model Evaluation Tool for Financial Crime Detection." Master's thesis, 2021. http://hdl.handle.net/10362/119698.
Повний текст джерелаA Ciência de Dados e a Aprendizagem Automática [277] são duas valiosas aliadas no combate à criminalidade económico-financeira, o domínio em que a Feedzai procura potenciar a sua proposta de valor em prol da sua missão: tornar o sistema bancário e o comércio seguros. Além disso, os dados estão no centro das duas áreas e deste domínio.Assim, a estruturação visual dos mesmos fornece uma maneira eficaz de os entender e transmitir informação.O desenvolvimento de uma solução para cada projeto e caso de uso requer um estágiocuidadoso e eficaz de Avaliação de Modelos de Aprendizagem Automática, pois esteestágio coincide com a principal fonte de retorno (feedback) antes da implementaçãoda solução. As ferramentas de Avaliação de Modelos disponíveis na Feedzai podem seraprimoradas, aceleradas, suportadas visualmente e diversificadas para permitir que oscientistas de dados impulsionem o seu trabalho diário e a qualidade destes modelos.Neste trabalho, proponho a recolha e compilação de informação interna e externa, em termos de fluxo de trabalho e Avaliação de Modelos, numa proposta hierarquicamente segmentada por objetivos e tarefas bem definidas, a instanciação desta proposta num pacote Python e a validação iterativa deste pacote em colaboração com os cientistas de dados da Feedzai. Posto isto, a primeira contribuição deste trabalho é o MevaL, um pacote Python para Avaliação de Modelos com suporte visual, integrado no ambiente de Ciência de Dados da Feedzai. Na verdade, o MevaL já está a ser utilizado como um pacote de visualização em dois projetos internos de preparação de relatórios automáticos para alguns dos principais clientes da Feedzai.Além do MevaL, a segunda contribuição deste trabalho é a Topologia de Avaliação de Modelos desenvolvida para garantir uma comunicação clara e o design enquadrado das diferentes funcionalidades.
Botha, André Eduan. "Combating financial crime : evaluating the prospect of a whole-of-government approach." Thesis, 2018. http://hdl.handle.net/10500/24432.
Повний текст джерелаPolice Science
D.Litt. et Phil. (Police Science)
HANTKOVÁ, Zuzana. "Forenzní účetnictví a hospodářská kriminalita." Master's thesis, 2015. http://www.nusl.cz/ntk/nusl-188333.
Повний текст джерелаКниги з теми "Financial crime detection"
Nossen, Richard A. The detection, investigation, and prosecution of financial crimes. 2nd ed. Richmond, VA: Thoth Books, 1993.
Знайти повний текст джерелаThe first line of defense: The role of financial institutions in detecting financial crimes : hearing before the Subcommittee on Oversight and Investigations of the Committee on Financial Services, U.S. House of Representatives, One Hundred Ninth Congress, first session, May 26, 2005. Washington: U.S. G.P.O., 2006.
Знайти повний текст джерелаFrozen assets. New York: Soho Press, 2011.
Знайти повний текст джерелаComputer Crime: Techniques for Preventing and Detecting Crime in Financial Institutions. McGraw-Hill, 1991.
Знайти повний текст джерелаFinancial Investigations: A Financial Approach to Detecting and Resolving Crimes. Accents Pubns Service, 1994.
Знайти повний текст джерелаVogel, Don. Financial Investigations: A Financial Approach To Detecting And Resolving Crimes. Diane Pub Co, 1993.
Знайти повний текст джерелаFinancial Investigations: A Financial Approach to Detecting and Resolving Crimes (Publication). Accents Pubns Service, 1993.
Знайти повний текст джерелаVogel, Don. Financial Investigations: A Financial Approach to Detecting & Resolving Crimes. Student Handbook. Diane Pub Co, 1994.
Знайти повний текст джерелаFinancial investigations: A financial approach to detecting and resolving crimes : instructor's guide. [Washington, DC: Internal Revenue Service, 1994.
Знайти повний текст джерелаFinancial investigations: A financial approach to detecting and resolving crimes : student workbook. [Washington, DC: Internal Revenue Service, 1994.
Знайти повний текст джерелаЧастини книг з теми "Financial crime detection"
Giacomo, Emilio Di, Walter Didimo, Luca Grilli, Giuseppe Liotta, and Fabrizio Montecchiani. "Visual Analytics for Financial Crime Detection at the University of Perugia." In Advanced Visual Interfaces. Supporting Artificial Intelligence and Big Data Applications, 195–200. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68007-7_14.
Повний текст джерелаSuzumura, Toyotaro, Yi Zhou, Ryo Kawahara, Nathalie Baracaldo, and Heiko Ludwig. "Federated Learning for Collaborative Financial Crimes Detection." In Federated Learning, 455–66. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96896-0_20.
Повний текст джерелаOthman, Radiah. "Financial Statement Fraud Detection and Investigation in Digital Environment." In Advances in Digital Crime, Forensics, and Cyber Terrorism, 187–214. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1558-7.ch011.
Повний текст джерелаFrunza, Marius-Christian. "Determining the Accuracy of a Fraud-Detection Model." In Solving Modern Crime in Financial Markets, 217–32. Elsevier, 2016. http://dx.doi.org/10.1016/b978-0-12-804494-0.00016-4.
Повний текст джерелаAl-Saedy, Hasan L. "Cyber Crimes." In Handbook of Research on Threat Detection and Countermeasures in Network Security, 154–68. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-6583-5.ch009.
Повний текст джерелаDevi, Aruna. "Cyber Crime and Cyber Security." In Detecting and Mitigating Robotic Cyber Security Risks, 160–71. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-2154-9.ch011.
Повний текст джерелаLenard, Mary Jane, and Pervaiz Alam. "Application of Fuzzy Logic to Fraud Detection." In Encyclopedia of Information Science and Technology, First Edition, 135–39. IGI Global, 2005. http://dx.doi.org/10.4018/978-1-59140-553-5.ch026.
Повний текст джерелаVerma, Diksha, Pooja Kansra, and Sarabjit Kaur. "A Theoretical Perspective of Artificial Intelligence in Hostility of Cyber Threats in the Banking Sector." In Advanced Machine Learning Algorithms for Complex Financial Applications, 43–54. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-4483-2.ch004.
Повний текст джерелаAnand, Abhineet, and M. Arvindhan. "Development and Various Critical Testing Operational Frameworks in Data Acquisition for Cyber Forensics." In Advances in Digital Crime, Forensics, and Cyber Terrorism, 88–102. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1558-7.ch006.
Повний текст джерелаP. Z, Salma, and Maya Mohan. "Detection and Prediction of Spam Emails Using Machine Learning Models." In Handbook of Research on Cyber Crime and Information Privacy, 201–18. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-5728-0.ch011.
Повний текст джерелаТези доповідей конференцій з теми "Financial crime detection"
Fior, Jacopo, Thomas Favale, Luca Cagliero, Danilo Giordano, Marco Mellia, Elena Baralis, Silvia Ronchiadin, Paolo Baracco, and Dario Moncalvo. "Legal Entity Disambiguation for Financial Crime Detection." In 2022 IEEE International Conference on Big Data (Big Data). IEEE, 2022. http://dx.doi.org/10.1109/bigdata55660.2022.10020700.
Повний текст джерелаDidimo, Walter, Giuseppe Liotta, Fabrizio Montecchiani, and Pietro Palladino. "An advanced network visualization system for financial crime detection." In 2011 IEEE Pacific Visualization Symposium (PacificVis). IEEE, 2011. http://dx.doi.org/10.1109/pacificvis.2011.5742391.
Повний текст джерелаVosyliute, Ieva, and Nijole Maknickiene. "INVESTIGATION OF FINANCIAL FRAUD DETECTION BY USING COMPUTATIONAL INTELLIGENCE." In 12th International Scientific Conference „Business and Management 2022“. Vilnius Gediminas Technical University, 2022. http://dx.doi.org/10.3846/bm.2022.787.
Повний текст джерелаKurshan, Eren, Hongda Shen, and Haojie Yu. "Financial Crime & Fraud Detection Using Graph Computing: Application Considerations & Outlook." In 2020 Second International Conference on Transdisciplinary AI (TransAI). IEEE, 2020. http://dx.doi.org/10.1109/transai49837.2020.00029.
Повний текст джерелаTundis, Andrea, Soujanya Nemalikanti, and Max Mühlhäuser. "Fighting organized crime by automatically detecting money laundering-related financial transactions." In ARES 2021: The 16th International Conference on Availability, Reliability and Security. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3465481.3469196.
Повний текст джерела