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Publikācija: Model for Identification of Politically Exposed Persons

Publication Type Full-text conference paper published in conference proceedings indexed in SCOPUS or WOS database
Funding for basic activity EU Structural Funds
Defending: ,
Publication language English (en)
Title in original language Model for Identification of Politically Exposed Persons
Field of research 2. Engineering and technology
Sub-field of research 2.2 Electrical engineering, Electronic engineering, Information and communication engineering
Research platform None
Authors Mārīte Kirikova
Zane Miltiņa
Arnis Staško
Ingars Eriņš
Jānis Grundspeņķis
Girts Kebers
Keywords Conceptual modelling, Data and business analytics, Multi-agent approach, Politically exposed person
Abstract Due to increasing strength of regulatory requirements in area of money laundering and terrorism financing prevention, financial institutions are looking for ways to retrieve, analyse and interpret relevant information on politically exposed persons (PEPs). Task addresses complex decision making over distributed data. Manual PEP identification is labour and time consuming, therefore, IT solutions are necessary to support and enhance the process. This paper highlights the complexity of regulatory demands inherent in the PEP definition, reveals a number of requirements for PEP identification and proposes a model for PEP status identification. The model follows a multi-agent paradigm enabling several scenarios of PEP identification with involvement of software and human agents. Although the proposed PEP status identification model is created in accordance with the regulatory requirements and countries specific data sources for the Republic of Latvia, still, the model can be adjusted for use also in other EU countries. © Springer International Publishing AG 2017.
DOI: 10.1007/978-3-319-64930-6_10
Hyperlink: https://link.springer.com/chapter/10.1007%2F978-3-319-64930-6_10 
Reference Kirikova, M., Miltiņa, Z., Staško, A., Eriņš, I., Grundspeņķis, J., Kebers, G. Model for Identification of Politically Exposed Persons. In: Perspectives in Business Informatics Research: 16th International Conference, BIR 2017: Proceedings. Lecture Notes in Business Information Processing. Vol.295, Denmark, Copenhagen, 28-30 August, 2017. Cham: Springer Nature, 2017, pp.133-147. ISBN 978-331964929-0. e-ISBN 978-3-319-64930-6. ISSN 1865-1348. e-ISSN 1865-1356. Available from: doi:10.1007/978-3-319-64930-6_10
Additional information Citation count:
  • Scopus  0
ID 26501