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master's thesis
Ispitivanje uspješnosti studiranja primjenom tehnika rudarenja podataka
2016. urn:nbn:hr:211:850081
Jurman, Matija
University of Zagreb
Faculty of Organization and Informatics
Department of Information Systems Development

Cite this document

Jurman, M. (2016). Ispitivanje uspješnosti studiranja primjenom tehnika rudarenja podataka (Master's thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:211:850081

Jurman, Matija. "Ispitivanje uspješnosti studiranja primjenom tehnika rudarenja podataka." Master's thesis, University of Zagreb, Faculty of Organization and Informatics, 2016. https://urn.nsk.hr/urn:nbn:hr:211:850081

Jurman, Matija. "Ispitivanje uspješnosti studiranja primjenom tehnika rudarenja podataka." Master's thesis, University of Zagreb, Faculty of Organization and Informatics, 2016. https://urn.nsk.hr/urn:nbn:hr:211:850081

Jurman, M. (2016). 'Ispitivanje uspješnosti studiranja primjenom tehnika rudarenja podataka', Master's thesis, University of Zagreb, Faculty of Organization and Informatics, accessed 13 April 2021, https://urn.nsk.hr/urn:nbn:hr:211:850081

Jurman M. Ispitivanje uspješnosti studiranja primjenom tehnika rudarenja podataka [Master's thesis]. Varaždin: University of Zagreb, Faculty of Organization and Informatics; 2016 [cited 2021 April 13] Available at: https://urn.nsk.hr/urn:nbn:hr:211:850081

M. Jurman, "Ispitivanje uspješnosti studiranja primjenom tehnika rudarenja podataka", Master's thesis, University of Zagreb, Faculty of Organization and Informatics, Varaždin, 2016. Available at: https://urn.nsk.hr/urn:nbn:hr:211:850081

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Metadata
TitleIspitivanje uspješnosti studiranja primjenom tehnika rudarenja podataka
Title (english)Exploring study success by using data mining techniques
AuthorMatija Jurman
MentorDijana Oreški (mentor)
MBZ: 318615
Committee memberBožidar Kliček
MBZ: 95426
GranterUniversity of Zagreb
Faculty of Organization and Informatics
(Department of Information Systems Development)
Varaždin
Defense date and country2016-06-21, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Information and Communication Sciences
Organization and Informatics
Abstract
Procesom rudarenja podataka otkrivaju se zanimljivi predlošci i znanja iz velike količine podataka. U radu je ispitivana uspješnost studiranja studenata Fakulteta organizacije i informatike u Varaždinu korištenjem dviju tehnika rudarenja podataka – neuronskih mreža i Bayesovih mreža. Otkriveno znanje i dobiveni rezultati iz provedenih analiza međusobno su uspoređeni i opisani u samom radu, ali i unutar desktop aplikacije dostupne u privitku ovoga rada.
Keywords
Languagecroatian
URN:NBNurn:nbn:hr:211:850081
Study programmeTitle: Database and Knowledge Base Studies
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra informatike (magistar/magistra informatike)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0) icon
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Created on2017-01-26 08:23:39