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undergraduate thesis
Primjena algoritama strojnog učenja na graf bazi "Osnivači i startupi"
2023. urn:nbn:hr:126:239828
Glamočak, Nina
Josip Juraj Strossmayer University of Osijek
School of Applied Mathematics and Informatics

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Glamočak, N. (2023). Primjena algoritama strojnog učenja na graf bazi "Osnivači i startupi" (Undergraduate thesis). Osijek: Josip Juraj Strossmayer University of Osijek, School of Applied Mathematics and Informatics. Retrieved from https://urn.nsk.hr/urn:nbn:hr:126:239828

Glamočak, Nina. "Primjena algoritama strojnog učenja na graf bazi "Osnivači i startupi"." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, School of Applied Mathematics and Informatics, 2023. https://urn.nsk.hr/urn:nbn:hr:126:239828

Glamočak, Nina. "Primjena algoritama strojnog učenja na graf bazi "Osnivači i startupi"." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, School of Applied Mathematics and Informatics, 2023. https://urn.nsk.hr/urn:nbn:hr:126:239828

Glamočak, N. (2023). 'Primjena algoritama strojnog učenja na graf bazi "Osnivači i startupi"', Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, School of Applied Mathematics and Informatics, accessed 02 May 2024, https://urn.nsk.hr/urn:nbn:hr:126:239828

Glamočak N. Primjena algoritama strojnog učenja na graf bazi "Osnivači i startupi" [Undergraduate thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, School of Applied Mathematics and Informatics; 2023 [cited 2024 May 02] Available at: https://urn.nsk.hr/urn:nbn:hr:126:239828

N. Glamočak, "Primjena algoritama strojnog učenja na graf bazi "Osnivači i startupi"", Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, School of Applied Mathematics and Informatics, Osijek, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:126:239828

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Metadata
TitlePrimjena algoritama strojnog učenja na graf bazi "Osnivači i startupi"
Title (english)The Application Of Machine Learning Algorithms On Graph Database "Founders And Startups"
AuthorNina Glamočak
MentorDomagoj Matijević (mentor)
GranterJosip Juraj Strossmayer University of Osijek
School of Applied Mathematics and Informatics
Osijek
Defense date and country2023-09-29, Croatia
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Mathematics
Mathematical Logic and Accounting
Abstract
U ovom završnom radu istražena je primjena graf baze podataka, preciznije primjena alata Neo4j Graph Data Science. Ukratko ćemo se upoznati s graf bazama podataka i proširenjima Neo4j baze podataka te ćemo vidjeti kako se alat Neo4j Graph Data Science može koristiti u svrhu boljeg razumijevanja i analize brojnih skupova podataka. Nadalje, kako bismo bolje razumjeli ovu temu bit će prikazana baza podataka Osnivači i startupi na kojoj su primijenjeni usvojeni postupci.
Abstract (english)
In this paper, the application of graph database in data science will be explored, more precisely the application of the toolkit Neo4j Graph Data Science. We will briefly familiarize ourselves with graph databases and Neo4j database extensions and see how the toolkit Neo4j Graph Data Science can be used for better understanding and analysis of numerous data sets. Furthermore, in order to understand this topic even better, a database Founders and startups will be presented on which the adopted procedures were applied.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:126:239828
Study programmeTitle: 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 resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2023-10-19 06:29:52