Upotreba algoritama strojnog učenja na graf bazi filmovi i tv emisije

Pejić, Ines

undergraduate thesis

Upotreba algoritama strojnog učenja na graf bazi filmovi i tv emisije

Osijek: Josip Juraj Strossmayer University of Osijek, School of Applied Mathematics and Informatics, 2024. urn:nbn:hr:126:184815

Pejić, Ines

Josip Juraj Strossmayer University of Osijek
School of Applied Mathematics and Informatics

Cite this document

APA 6th Edition

Pejić, I. (2024). Upotreba algoritama strojnog učenja na graf bazi filmovi i tv emisije (Undergraduate thesis). Osijek: Josip Juraj Strossmayer University of Osijek, School of Applied Mathematics and Informatics. Retrieved from https://urn.nsk.hr/urn:nbn:hr:126:184815

MLA 8th Edition

Pejić, Ines. "Upotreba algoritama strojnog učenja na graf bazi filmovi i tv emisije." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, School of Applied Mathematics and Informatics, 2024. https://urn.nsk.hr/urn:nbn:hr:126:184815

Chicago 17th Edition

Harvard

Pejić, I. (2024). 'Upotreba algoritama strojnog učenja na graf bazi filmovi i tv emisije', Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, School of Applied Mathematics and Informatics, accessed 18 November 2024, https://urn.nsk.hr/urn:nbn:hr:126:184815

Vancouver

Pejić I. Upotreba algoritama strojnog učenja na graf bazi filmovi i tv emisije [Undergraduate thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, School of Applied Mathematics and Informatics; 2024 [cited 2024 November 18] Available at: https://urn.nsk.hr/urn:nbn:hr:126:184815

IEEE

I. Pejić, "Upotreba algoritama strojnog učenja na graf bazi filmovi i tv emisije", Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, School of Applied Mathematics and Informatics, Osijek, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:126:184815

Cite this item: https://urn.nsk.hr/urn:nbn:hr:126:184815

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Metadata

Title	Upotreba algoritama strojnog učenja na graf bazi filmovi i tv emisije
Title (english)	The Use of Machine Learning Algorithms on Graph Database Movies and TV Shows
Author	Ines Pejić
Mentor	Mateja Đumić (mentor)
Granter	Josip Juraj Strossmayer University of Osijek School of Applied Mathematics and Informatics Osijek
Defense date and country	2024-09-03, Croatia
Scientific / art field, discipline and subdiscipline	NATURAL SCIENCES Mathematics Applied Mathematics and Mathematical Modeling
Abstract	U ovom završnom radu istražit ćemo kako primijeniti graf bazu podataka u podatkovnoj znanosti, s posebnim naglaskom na Neo4j bazu podataka i Neo4j Graph Data Science biblioteku. U prvom dijelu upoznat ćemo se s graf bazama podataka, nakon čega ćemo se više upoznati s Neo4j sustavom kroz njegovu povijest, ekosustav i postupak instalacije na osobno računalo. Zatim, upoznat ćemo se s upitnim jezikom Cypher pomoću kojeg je moguće pretraživati, kreirati i manipulirati podacima u graf bazama podataka. Koristeći Cypher kreirat ćemo bazu podataka "Filmovi i TV emisije" te na nju primijeniti neke od algoritama strojnog učenja. Na samom kraju, osvrnut ćemo se na česte greške koje se javljaju tijekom primjene algoritama strojnog učenja na graf bazama podataka.
Abstract (english)	In this final paper, we will explore how to apply a graph database in data science, focusing on Neo4j Graph Data Science and Neo4j Graph Data Science library. In the first part, we will get acquainted with graph databases, followed by an introduction to the Neo4j system through its history, ecosystem, and ins- tallation procedure on a personal computer. Then, we will learn about the query language Cypher, which allows us to search, create, and manipulate data in graph databases. Using Cypher, we will create a database called "Movies and TV Shows" and apply some machine learning algorithms to it. Finally, we will discuss common errors that occur while applying machine learning algorithms to graph databases.
Keywords
Keywords (english)
Language	croatian
URN:NBN	urn:nbn:hr:126:184815
Study programme	Title: Bachelor of Mathematics and Computer Science Study programme type: university Study level: undergraduate Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) matematike i računarstva (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) matematike i računarstva)
Type of resource	Text
File origin	Born digital
Access conditions	Open access
Terms of use
Repository	Repository of School of Applied Mathematics and Informatics
Created on	2024-09-12 09:33:19