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APPLICATION OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING METHODS TO DETECT FINANCIAL FRAUD

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Review article

Aldokhina D. V.

DOI:

https://doi.org/10.60797/COMP.2025.6.1

Issue: № 2 (6), 2025

Suggested:

23.03.2025

Accepted:

29.04.2025

Published:

29.04.2025

Development of a software system for data analysis and support of trade decision-making at stock exchanges

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Research article

Potapchenko T. D.

DOI:

https://doi.org/10.60797/COMP.2025.5.5

Issue: № 1 (5), 2025

Suggested:

28.12.2024

Accepted:

20.01.2025

Published:

29.01.2025

245

Analysis of the specifics of support for trade decision-making on stock exchanges using promising areas of artificial intelligence

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Research article

Potapchenko T. D.

DOI:

https://doi.org/10.60797/COMP.2025.5.4

Issue: № 1 (5), 2025

Suggested:

28.12.2024

Accepted:

29.01.2025

Published:

29.01.2025

213

CHALLENGES OF ANALYSIS AND EVALUATION OF PUBLIC HEALTH RISKS BASED ON THE USE OF MACHINE LEARNING METHODS

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Research article

Potapchenko T. D.

DOI:

https://doi.org/10.60797/COMP.2025.5.6

Issue: № 1 (5), 2025

Suggested:

22.12.2024

Accepted:

29.01.2025

Published:

29.01.2025

244

DEVELOPMENT OF AN ANALYTICAL SYSTEM FOR ASSESSING THE EMERGENCE OF PUBLIC HEALTH RISKS ON THE BASIS OF MACHINE LEARNING ALGORITHMS

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Research article

Potapchenko T. D.

DOI:

https://doi.org/10.60797/COMP.2025.5.3

Issue: № 1 (5), 2025

Suggested:

22.12.2024

Accepted:

22.01.2025

Published:

29.01.2025

274

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"Cifra. Computer Sciences and Informatics" is a peer-reviewed academic journal dedicated to the problem of computer sciences and informatics. Our journal provides an opportunity to publish their scientific achievements to graduate students, university professors, persons with an academic degree and public figures, from the CIS countries and abroad.