Formation of recommendations for critical infrastructure objects based on streaming data, machine learning and artificial intelligence approaches

• Datum: 2026
• Hauptverfasser: Huskova, V.G., Shkolnikov, V.I., Lysov, B.S., Khalygov, A.A.
• Format: Artikel
• Sprache: Ukrainisch
• Veröffentlicht: PROBLEMS IN PROGRAMMING 2026
• Schlagworte: critical infrastructure objects; recommendation system; streaming data; machine learning; explainable artificial intelligence; risk assessment; anomaly detection; Bayesian ranking; decision support; UDC 004.8+004.9
• Online Zugang: https://pp.isofts.kiev.ua/index.php/ojs1/article/view/1022
• Назва журналу: Problems in programming

The article addresses the problem of generating recommendations for critical infrastructure objects under conditions of increasing cyber threats, large volumes of streaming data, and the need for rapid decision-making. The relevance of the study is determined by the necessity to enhance the resilien...