Bc. Jakub Hanko
Master's thesis
Indexing Data Using Machine Learning
Indexing Data Using Machine Learning
Abstract:
Vysoko dimenzionálne dáta sú produkované na dennej báze, čo motivuje výskum výkonnejších spôsobov ukladania a dopytovania sa dát. Tradičné databázové štruktúry sú čoraz ďalej menej schopné udržať tempo so zvyšujúcou sa zložitosťou multimediálnych dát. Súčasné trendy naznačujú, že optimalizácia indexačnej štruktúry pre konkrétny súbor dát prináša pozitívne výsledky. Táto práca je motivovaná úspešným …moreAbstract:
High-dimensional data is being produced and processed daily which motivates the research of more efficient means to store and query the data. The traditional database structures are growing less and less capable of keeping up with the ever-increasing complexity of multimedia data. The current trends imply that optimising the index for the structure of the particular dataset yields positive results …more
Language used: English
Date on which the thesis was submitted / produced: 13. 12. 2022
Identifier:
https://is.muni.cz/th/zj110/
Thesis defence
- Date of defence: 23. 1. 2023
- Supervisor: doc. RNDr. Vlastislav Dohnal, Ph.D.
- Reader: RNDr. Vladimír Míč, Ph.D.
Full text of thesis
Contents of on-line thesis archive
Published in Theses:- světu
Other ways of accessing the text
Institution archiving the thesis and making it accessible: Masarykova univerzita, Fakulta informatikyMasaryk University
Faculty of InformaticsMaster programme / field:
Computer systems, communication and security / Software systems
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