Yuliia Humenna
Biographic Data
| ID | 4080764 |
|---|---|
| NAME | Yuliia Humenna |
| GIVEN NAMES | Yuliia |
| FAMILY NAME | Humenna |
| SIGNATURE | HUMENNA Y |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 2 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 1 |
Modeling of "information bubbles" in the global information space
The article uses the Sedov-Taylor function to model "information bubbles" formed in the global information space due to information attacks. The authors identify the most relevant determinants that describe information activities related to cyber threats and reactions of economic agents in the global digital economic space. The article hypothesizes about the emergence of "information bubbles" due to increases in information activities and their r…
Impact of digitalization and the Covid-19 pandemic on the AML scenario: Data mining analysis for good governance
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…
Modeling of "information bubbles" in the global information space
The article uses the Sedov-Taylor function to model "information bubbles" formed in the global information space due to information attacks. The authors identify the most relevant determinants that describe information activities related to cyber threats and reactions of economic agents in the global digital economic space. The article hypothesizes about the emergence of "information bubbles" due to increases in information activities and their r…
Impact of digitalization and the Covid-19 pandemic on the AML scenario: Data mining analysis for good governance
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…
Modeling of "information bubbles" in the global information space
The article uses the Sedov-Taylor function to model "information bubbles" formed in the global information space due to information attacks. The authors identify the most relevant determinants that describe information activities related to cyber threats and reactions of economic agents in the global digital economic space. The article hypothesizes about the emergence of "information bubbles" due to increases in information activities and their r…
Impact of digitalization and the Covid-19 pandemic on the AML scenario: Data mining analysis for good governance
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…
Computer Science (2 works) · Data science (2 works) · 2019-20 coronavirus outbreak (1 works) · Business (1 works) · Business and Economic Development (1 works) · Coronavirus disease 2019 (COVID-19) (1 works) · Corporate governance (1 works) · COVID-19 Pandemic Impacts (1 works) · Data mining (1 works) · Finance (1 works)