Primjena metoda deskriptivne analize u domeni računalnih igara

undergraduate thesis

• Title (english): Applying Descriptive Analysis Methods in the Domain of Computer Entertainment
• Author: Marko Marfat
• Mentor: Damir Pintar (mentor)
• Committee member: Damir Pintar (predsjednik povjerenstva)
• Committee member: Luka Humski (član povjerenstva)
• Committee member: Matija Šulc (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2021-07-05, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

Pomoću raznih deskriptivnih metoda provedena je analiza u domeni računalnih igara. Korištenjem metoda eksploratorne analize poput vizualizacije i računanja osnovnih statističkih mjera poput prosjeka i medijana dobiveni su osnovni uvidi u podatkovni skup. Upotrebom strojnog učenja, preciznije grupiranja algoritmom k-srednjih vrijednosti igrači su profilirani na temelju njihovih statističkih vrijednosti odabranih pomoću provedene eksploratorne analize. Korištenjem algoritma slučajnih šuma igrači su se profilirali po njihovom primarnom oružju koristeći nekoliko statističkih vrijednosti koje su odabrane na temelju rezultata eksploratorne analize.

Abstract (english)

Analysis in the domain of computer games was performed using various descriptive methods. Using exploratory analysis methods such as visualization and calculation of basic statistical measures such as averages and medians, basic insights into the data set were obtained. Using machine learning, more precise the k-means algorithm, players were profiled based on their statistical values which were ​​selected by using exploratory analysis. Using the random forests algorithm, players were profiled by their primary weapon using several statistical values ​​selected based on the results of exploratory analysis.

• Keywords: videoigre; statistika; analiza; grupiranje; slučajne šume
• Keywords (english): videogames; statistics; analysis; clustering; random forests
• Language: croatian
• URN:NBN: urn:nbn:hr:168:272709
• Study programme: Title: Computing; Study programme type: university; Study level: undergraduate; Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2023-01-14 21:04:26