Hordiichuk-Bublivska O. Methods and means of processing big data in distributed information systems

Українська версія

Thesis for the degree of Doctor of Philosophy (PhD)

State registration number

0824U001337

Thesis Registration Form

0824U001337.pdf

Applicant for

Specialization

  • 122 - Комп’ютерні науки

Specialized Academic Board

ID 5081

Lviv Polytechnic National University

Essay

The dissertation is devoted to the development of methods and tools for creating big data processing in distributed information systems. In modern information systems of various purposes, the problem of providing users with calculation results promptly, analyzing multidimensional information arrays discarding redundant data, and finding relationships between events is increasingly common.

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Research papers

Гордійчук-Бублівська О.В., Бешлей М.І., Кирик М.І., Климаш М.М, “Підвищення ефективності оброблення великих обсягів інформації з використанням методу розподіленого аналізу даних”, ISSN 2412-4338 Телекомунікаційні та інформаційні технології. 2021. № 1 (70).

О. В. Гордійчук-Бублівська, Л. П. Фабрі. МАТРИЧНА ФАКТОРИЗАЦІЯ ВЕЛИКИХ ДАНИХ У ПРОМИСЛОВИХ СИСТЕМАХ. UJIT. 2022; Випуск 4, Номер 2: 68-73.

Przystupa, K.; Beshley, M.; Hordiichuk-Bublivska, O.; Kyryk, M.; Beshley, H.; Pyrih, J.; Selech, J. Distributed Singular Value Decomposition Method for Fast Data Processing in Recommendation Systems. Energies 2021, 14, 2284.

Beshley, M.; HordiichukBublivska, O.; Beshley, H.; Ivanochko, I. Data Optimization for Industrial IoT-Based Recommendation Systems. Electronics 2023, 12, 33.

A modified federated singular value decomposition method for Big Data and ML optimization in IIoT systems / O. Hordiichuk-Bublivska, H. Beshley, M. Kyryk, Y. Pyrih, O. Urikova, M. Beshley // Lecture Notes in Electrical Engineering. 2023. Vol. 965 LNEE : IEEE lnternational conference on advanced trends in radioelectronics, telecommunications and computer engineering, TCSET 2022, Lviv-Slavske, 22-26 February 2022. P. 246–267.

Yiming, Z.; Fang, X.; Hordiichuk-Bublivska, O.; Beshley, H.; Beshley, M. Modified Masking-Based Federated Singular Value Decomposition Method for Fast Anomaly Detection in Smart Grid Systems. Energies 2023, 16, 5996.

Hordiichuk-Bublivska O., Beshley H., Kryvinska N., Beshley M. A masking-based federated singular value decomposition method for anomaly detection in industrial internet of things // International Journal of Web and Grid Services. 2023. Vol. 19, iss. 3. P. 287–317.

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