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Anna Ziółko

Biographic Data

ID4080762
NAMEAnna Ziółko
GIVEN NAMESAnna
FAMILY NAMEZiółko
SIGNATUREZIÓŁKO A
AFFILIATIONSNarodowy Instytut Leków
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS1
AUTHOR COUNT1
EDITOR COUNT0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2021
H-INDEX1
  • Impact of digitalization and the Covid-19 pandemic on the AML scenario: Data mining analysis for good governance

    Open Access•Tetyana Vasilyeva, Anna Ziółko et al.•ARTICLE•Economics & Sociology•2021•Cited by: 1

    The article deals with the impact of digitalization and COVID-19 on the choice of AML scenarios for reforming the system of tactical and strategic monitoring of transactions carried out by economic entities based on providing good governance. The study period is 2011-2020; the objects of the study are 140 countries. Calculations are performed using Data-Mining methods, such as AML scenarios based on the classification tree method (one-dimensional…

  • Impact of digitalization and the Covid-19 pandemic on the AML scenario: Data mining analysis for good governance

    Open Access•Tetyana Vasilyeva, Anna Ziółko et al.•ARTICLE•Economics & Sociology•2021•Cited by: 1

    The article deals with the impact of digitalization and COVID-19 on the choice of AML scenarios for reforming the system of tactical and strategic monitoring of transactions carried out by economic entities based on providing good governance. The study period is 2011-2020; the objects of the study are 140 countries. Calculations are performed using Data-Mining methods, such as AML scenarios based on the classification tree method (one-dimensional…

  • Impact of digitalization and the Covid-19 pandemic on the AML scenario: Data mining analysis for good governance

    Open Access•Tetyana Vasilyeva, Anna Ziółko et al.•ARTICLE•Economics & Sociology•2021•Cited by: 1

    The article deals with the impact of digitalization and COVID-19 on the choice of AML scenarios for reforming the system of tactical and strategic monitoring of transactions carried out by economic entities based on providing good governance. The study period is 2011-2020; the objects of the study are 140 countries. Calculations are performed using Data-Mining methods, such as AML scenarios based on the classification tree method (one-dimensional…

2019-20 coronavirus outbreak (1 works) · Business (1 works) · Business and Economic Development (1 works) · Computer Science (1 works) · Coronavirus disease 2019 (COVID-19) (1 works) · Corporate governance (1 works) · COVID-19 Pandemic Impacts (1 works) · Data mining (1 works) · Data science (1 works) · Finance (1 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae