Data mining and bifurcation analysis of the risk of money laundering with the involvement of financial institutions

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F20%3A00001810" target="_blank" >RIV/75081431:_____/20:00001810 - isvavai.cz</a>
Result on the web
<a href="https://www.jois.eu/?644,en_data-mining-and-bifurcation-analysis-of-the-risk-of-money-laundering-with-the-involvement-of-financial-institutions" target="_blank" >https://www.jois.eu/?644,en_data-mining-and-bifurcation-analysis-of-the-risk-of-money-laundering-with-the-involvement-of-financial-institutions</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.14254/2071-8330.2020/13-3/22" target="_blank" >10.14254/2071-8330.2020/13-3/22</a>

Result language
čeština
Original language name
Data mining and bifurcation analysis of the risk of money laundering with the involvement of financial institutions
Original language description
The purpose of the article is to develop a scientific and methodological approach to assessing the risk of using financial institutions in money laundering. It is based on the study of the dynamic stability of this risk on the basis of bifurcation theory.
Czech name
Data mining and bifurcation analysis of the risk of money laundering with the involvement of financial institutions
Czech description
The purpose of the article is to develop a scientific and methodological approach to assessing the risk of using financial institutions in money laundering. It is based on the study of the dynamic stability of this risk on the basis of bifurcation theory.

Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
—
OECD FORD branch
50200 - Economics and Business

Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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