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master's thesis
Primjena metoda dubinske analize za predviđanje rezultata sportskih događaja
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2016. urn:nbn:hr:168:738348
Marušić, Damian
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Marušić, D. (2016). Primjena metoda dubinske analize za predviđanje rezultata sportskih događaja (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:738348

Marušić, Damian. "Primjena metoda dubinske analize za predviđanje rezultata sportskih događaja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2016. https://urn.nsk.hr/urn:nbn:hr:168:738348

Marušić, Damian. "Primjena metoda dubinske analize za predviđanje rezultata sportskih događaja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2016. https://urn.nsk.hr/urn:nbn:hr:168:738348

Marušić, D. (2016). 'Primjena metoda dubinske analize za predviđanje rezultata sportskih događaja', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 20 January 2025, https://urn.nsk.hr/urn:nbn:hr:168:738348

Marušić D. Primjena metoda dubinske analize za predviđanje rezultata sportskih događaja [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2016 [cited 2025 January 20] Available at: https://urn.nsk.hr/urn:nbn:hr:168:738348

D. Marušić, "Primjena metoda dubinske analize za predviđanje rezultata sportskih događaja", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2016. Available at: https://urn.nsk.hr/urn:nbn:hr:168:738348

Metadata
TitlePrimjena metoda dubinske analize za predviđanje rezultata sportskih događaja
Title (english)Applying data mining methods for predicting sport event outcomes
AuthorDamian Marušić
MentorDamir Pintar (mentor)
Committee memberDamir Pintar (predsjednik povjerenstva)
Committee memberBoris Vrdoljak (član povjerenstva)
Committee memberMihaela Vranić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2016-07-08, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Područje primjene dubinske analize podataka danas postaje sve šire pa tako i obuhvaća domenu igara na sreću. U ovom radu dubinska analiza podataka primijenjena je na stvarni, povijesni skup podataka o nogometnim utakmicama i podacima vezanim uz sportsko klađenje na njih. Nad tim skupom provedene su sve faze dubinske analize: od početnog čišćenja i pripreme podataka, preko primjene jedne od metoda dubinske analize podataka, do izrade krajnjeg modela i završne analize. Metoda koja je pobliže opisana i korištena je multinomijalna logistička regresija kao generalizacija obične logističke regresije.
Abstract (english)
In recent years data mining application domains are becoming broader and thus include sports betting and lottery games. In this paper, data mining techniques are applied to the real, historical data set of football games and betting odds. Provided data set went through all of data mining phases, which include: cleaning and preparing data, applying one of data mining methods, creating a model and providing final analysis. Data mining function, which is described and used, is multinomial logistic regression, as generalisation of logistic regression.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:738348
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 on2018-02-06 10:30:54