Treffer: Automated System for Detection of Anomalies in Business Data ; Автоматизована система виявлення аномалій у бізнес-даних

Title:
Automated System for Detection of Anomalies in Business Data ; Автоматизована система виявлення аномалій у бізнес-даних
Source:
NaUKMA Research Papers. Computer Science; Vol. 8 (2025): NaUKMA Research Papers. Computer Science; 158-166 ; Наукові записки НаУКМА. Комп'ютерні науки; Том 8 (2025): Наукові записки НаУКМА. Комп’ютерні науки; 158-166 ; 2617-7323 ; 2617-3808
Publisher Information:
National University of Kyiv-Mohyla Academy
Publication Year:
2025
Document Type:
Fachzeitschrift article in journal/newspaper
File Description:
application/pdf
Language:
Ukrainian
DOI:
10.18523/2617-3808.2025.8.158-166
Rights:
Авторське право (c) 2025 M. Postnikov, S. Gorokhovsky ; https://creativecommons.org/licenses/by/4.0/
Accession Number:
edsbas.970DF090
Database:
BASE

Weitere Informationen

The article describes the analysis of the anomaly-detecting process in business data, known software solutions, formulated requirements for the system and developed an automated software system for detecting anomalies. The developed system consists of software modules, has high adaptability, ease of modification, and ease of use. The system fully satisfies the previously set requirements: ease of configuration is provided by the user interface and interactive process, flexibility and ease of customization – by selected technologies and architectural abstractions, reliability – by separation of components through a queue of tasks, functional requirements – by developed component modules. The system performs the task of automated detection of anomalies in business data and meets modern standards in the field of data. The main types and classifications for anomalies and anomaly detection techniques were given, which give an idea of the practical value of anomaly detection in data processing. The analysis of the problem showed that existing systems are irrelevant, not supported, and do not perform the tasks required to solve the problem. Based on the research, the requirements that the system must meet were developed. To meet these requirements, the system architecture was selected and designed, and technologies for its software implementation were analyzed and selected. The practical result of the work is an automated software system for anomaly detection. The system consists of several software modules that together provide the performance of business data analysis tasks. The developed software system has high adaptability, ease of modification, and ease of use. Ease of configuration is ensured by an interactive web interface, and reliability of use is ensured by a delimited architecture with limited component liability. Thus, because of the work, it was possible to confirm the previously formulated hypothesis about the possibility of effective use of software systems to solve the problem of business data ...