Tkachyk O. Methods and tools for clustering heterogeneous data

Українська версія

Thesis for the degree of Doctor of Philosophy (PhD)

State registration number

0824U001153

Thesis Registration Form

0824U001153.pdf

Applicant for

Oleksandr Tkachyk

Specialization

122 - Комп’ютерні науки

Specialized Academic Board

ID 3239

Lviv Polytechnic National University

Essay

The dissertation is dedicated to the development of methods and means of artificial intelligence for the operational creation of user profiles for an online real estate market platform. In the future, this will allow system managers to conduct more operations with users and will increase user satisfaction due to more accurate proposals.

Thesis supervisor

Nataliia Boyko

Official opponents

Tetiana Hovorushchenko
Anatoliy O. Sachenko

Reviewers

Pavlo I. Zhezhnych
Melnykova Nataliia I.

Research papers

Mytnyk B., Tkachyk O., Shakhovska N., Fedushko S., Syerov Y. Application of artificial intelligence for fraudulent banking operations recognition. Big Data and Cognitive Computing. 2023. Vol. 7, iss. 2. 93.

Ткачик О. А. Застосування методів кластеризації даних для створення цільових груп користувачів на ринку нерухомості. Вісник Хмельницького національного університету. Серія: Технічні науки. 2023. № 2 (319), т. 1. С. 300–307.

Boyko N. I., Tkachyk O. A. Сlustering algorithms and methods for diverse data. Науковий вісник Ужгородського університету. Серія "Математика і інформатика". 2023. Т. 42, № 1. С. 129–147.

Бойко Н. І., Ткачик О. А. Оцінка методів кластеризації різнотипових даних. Автоматизація технологічних i бізнес-процесів. 2023. Т. 15, вип. 1. С. 1–12.

Boyko N., Tkachyk O. Frequency pattern growth algorithm (FP) for multimodal data extraction. CEUR Workshop Proceedings. 2022. Vol. 3156 : Proc. of the 3rd intern. workshop on intelligent information technologies & systems of information security IntelITSIS 2022, Khmelnytskyi, Ukraine, March 23–25, 2022. P. 72–82.

Boyko N., Tkachyk O. Model for finding frequent sets in FP-growth for multimodal data. CEUR Workshop Proceedings. 2022. Vol. 3137 : Proc. of the 5th intern. workshop on computer modeling and intelligent systems CMIS-2022, Zaporizhzhia, Ukraine, May 12, 2022. P. 126–143.

0824U001143

Jie Chen

Models and Methods for Assessing the Competitiveness of Universities' Educational Activities in the Context of Digital Transformation.

0824U001146

Bohdan Khudoba

Methods and means of analyzing operator parameters using computer simulators.

0824U001134

Huan Zhou

Models and methods of competency-based human resource management of educational projects.

0824U001104

Ming Li

Models, methods and information technology for choosingthemanagement methodology of international educational projects

0824U000977

Ting Zhu

Models and methods of managing joint Ukrainian-Chinese international projects based on Agile methodology.