Developing an application for analysing online bank transactions using Big Data methods

- Балан, Д.С. (orcid.org/0009-0000-3556-7494) and Гриб'юк, О.О. (orcid.org/0000-0003-3402-0520) (2024) Developing an application for analysing online bank transactions using Big Data methods In: Математичні дослідження здобувачів вищої освіти і молодих учених як підгрунтя технічного та економічного відновлення України: матеріали Всеукраїнської науково-практичної конференції здобувачів вищої освіти та молодих вчених . ХНАДУ, м. Харків, Україна, pp. 133-138.

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Abstract

The FinSight software system, which is being developed to analyse Internet bank transactions using Big Data methods, is a powerful tool for processing a large amount of data generated in the banking sector. The main goal is to provide fast and efficient transaction analysis to identify patterns, anomalies, fraud detection and risk monitoring. The subject area of the study covers a wide range of activities related to the functioning of Internet banking and ensuring the safety and efficiency of financial transactions for customers.

Item Type:	Book Section
Keywords:	artificial intelligence, transaction analysis, computer modelling, neural models, internet banking, KOMSRL, Bid Data, AI.
Subjects:	Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 00 Prolegomena. Fundamentals of knowledge and culture. Propaedeutics > 004 Computer science and technology. Computing. Data processing > 004.4 Software Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 00 Prolegomena. Fundamentals of knowledge and culture. Propaedeutics > 004 Computer science and technology. Computing. Data processing > 004.9 ІКТ ( Application-oriented computer-based techniques )
Divisions:	Institute for Digitalisation of Education > Department of the Cloud-Вased Systems of ICT in Education
Depositing User:	Старший науковий співробітник О.О. Гриб'юк
Date Deposited:	05 Jul 2024 10:56
Last Modified:	05 Jul 2024 10:56
URI:	https://lib.iitta.gov.ua/id/eprint/741675

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