The Model for Continuous IT Solution Engineering for Supporting Legal Entity Analysis
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[1] Marite Kirikova,et al. Conceptual Correspondence Monitoring: Multimode Information Logistics Approach , 2014, Complex Syst. Informatics Model. Q..
[2] Emil Eifrem. How graph technology can map patterns to mitigate money-laundering risk , 2019 .
[3] Edgar Villa,et al. Illicit Activity and Money Laundering from an Economic Growth Perspective: A Model and an Application to Colombia , 2019, Journal of Economic Behavior & Organization.
[4] Andrea Fronzetti Colladon,et al. Using social network analysis to prevent money laundering , 2021, Expert Syst. Appl..
[5] Elena Badal-Valero,et al. Combining Benford's Law and machine learning to detect money laundering. An actual Spanish court case. , 2018, Forensic science international.
[6] Klaas-Jan Stol,et al. Continuous software engineering: A roadmap and agenda , 2017, J. Syst. Softw..
[7] Guerino Ardizzi,et al. Cash payment anomalies and money laundering: An econometric analysis of Italian municipalities , 2018, International Review of Law and Economics.
[8] Zengan Gao,et al. Adaptive Resource Allocation for Anti-money Laundering Based on SMDP , 2015, WASA.
[9] Vikas Jayasree,et al. Money laundering regulatory risk evaluation using Bitmap Index-based Decision Tree , 2017 .
[10] João Balsa,et al. Integrating Client Profiling in an Anti-money Laundering Multi-agent Based System , 2016, WorldCIST.
[11] Kurt Sandkuhl,et al. Aligning Software Architecture and Business Strategy with Continuous Business Engineering , 2017, CAiSE Workshops.
[12] Nicholas Gilmour,et al. Understanding the practices behind money laundering – A rational choice interpretation , 2016 .
[13] Marite Kirikova. Work Systems Paradigm and Frames for Fractal Architecture of Information Systems , 2014, CAiSE Forum.
[14] Peter Checkland,et al. Diagnosing the system for organizations: S. BEER Wiley, Chichester, 1985, 152 + xiii pages, £7.50 , 1986 .
[15] Roel Wieringa,et al. Design Science Methodology for Information Systems and Software Engineering , 2014, Springer Berlin Heidelberg.
[16] Girish Keshav Palshikar. Detecting Frauds and Money Laundering: A Tutorial , 2014, BDA.
[17] Savva Shanaev,et al. Taming the Blockchain Beast? Regulatory Implications for the Cryptocurrency Market , 2019, Research in International Business and Finance.
[18] Stephanie Rosenkranz,et al. A microeconomic foundation for optimal money laundering policies , 2019 .
[19] Rory V. O'Connor,et al. Continuous software engineering—A microservices architecture perspective , 2017, J. Softw. Evol. Process..
[20] Shijia Gao,et al. Conceptual modeling and development of an intelligent agent-assisted decision support system for anti-money laundering , 2009, Expert Syst. Appl..
[21] Zuraidah Mohd Sanusi,et al. Money Laundering Risk: From the Bankers’ and Regulators Perspectives☆ , 2015 .
[22] Peter Best,et al. Anti-Money Laundering: Using data visualization to identify suspicious activity , 2019, Int. J. Account. Inf. Syst..
[23] Ingo Fiedler,et al. Modeling the money launderer: Microtheoretical arguments on anti-money laundering policy , 2015 .