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master's thesis
Analiziranje mjera video igre i vizualizacija podataka
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. urn:nbn:hr:168:318342
Rupčić, Ivan
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Rupčić, I. (2019). Analiziranje mjera video igre i vizualizacija podataka (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:318342

Rupčić, Ivan. "Analiziranje mjera video igre i vizualizacija podataka." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:318342

Rupčić, Ivan. "Analiziranje mjera video igre i vizualizacija podataka." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:318342

Rupčić, I. (2019). 'Analiziranje mjera video igre i vizualizacija podataka', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 03 January 2025, https://urn.nsk.hr/urn:nbn:hr:168:318342

Rupčić I. Analiziranje mjera video igre i vizualizacija podataka [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2019 [cited 2025 January 03] Available at: https://urn.nsk.hr/urn:nbn:hr:168:318342

I. Rupčić, "Analiziranje mjera video igre i vizualizacija podataka", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:168:318342

Metadata
TitleAnaliziranje mjera video igre i vizualizacija podataka
Title (english)A video game metrics analysis and data visualization
AuthorIvan Rupčić
MentorMirko Randić (mentor)
Committee memberMirko Randić (predsjednik povjerenstva)
Committee memberZoran Skočir (član povjerenstva)
Committee memberBruno Blašković (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2019-09-18, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Video igre kao aplikacija napravljena za zabavu igrača, mora biti kvalitetna te način interakcije igrača stvara mnoge podatke koji se mogu koristiti za analizu s ciljem ispravljanja neželjenih mehanika, otkrivanju varalica ili nadogradnjom elementima koje popravljaju otkrivene probleme. Tehnike strojnog učenja se primjenjuju pri toj analizi. Većinom se upotrebljuju tehnike za neoznačene podatke, no moguće je i dodjeliti oznake nekim podacima na temelju određenih analiza. Implementacijom klasteringa s metodama kernela analizirani su podaci igre PUBG (Player Unknown's Battleground) te su opisani rezultati popraćeni grafikonima „box and whiskers plot“ i nekoliko napomena o nadogradnji aplikacije za analizu i vizualizaciju podataka.
Abstract (english)
Video games as software made for players entertainment, must be of good quality and players interaction within game creates many data which can be analyzed with a goal of fixing unwanted mehanics, detecting cheaters or upgrading with elements that fix discovered problems. Machine learning techniques are applied for analysis. Techniques for unsupervised data are mostly used, but it is possible to mark them based on specific analisys. With implemented clustering and kernel methods, video game PUBG (Player Unknown's Battleground) data has been analysed and described results are accompanied with box and whiskers plots and few mentions about upgrading application for analysis and data visualization.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:318342
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2020-01-07 21:53:54