Automatization of diploma processes based on analysis of supervisors’ datasets
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Date
2023
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Abstract
The primary objective of the dissertation work was to extend and combine the hypothetical and useful information picked up in the learning procedure, and use them to research recommendation systems, in order to simplify the search for supervisors and students in areas of interest . To accomplish this objective, data was collected from different universities supervisors of Kazakhstan in the field of Information Technology. The object of study is to develop a system of recommendations based on the data of supervisors. As a result of the dissertation work, a research was conducted among clustering algorithms. The peculiarity and reliability of the obtained results is justified by the correlation between the rules of accepted standards of programming, consistency with the claims of and general the development environment and the technologies that were used.
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Keywords
learning procedure, students, Information Technology