Primjena metoda dubinske analize za predviđanje rezultata sportskih događaja

master's thesis

• Title (english): Applying data mining methods for predicting sport event outcomes
• Author: Damian Marušić
• Mentor: Damir Pintar (mentor)
• Committee member: Damir Pintar (predsjednik povjerenstva)
• Committee member: Boris Vrdoljak (član povjerenstva)
• Committee member: Mihaela Vranić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2016-07-08, 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... More opisana i korištena je multinomijalna logistička regresija kao generalizacija obične logističke regresije. Less

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... More logistic regression, as generalisation of logistic regression. Less

• Keywords: dubinska analiza podataka; logistička regresija; sportsko klađenje
• Keywords (english): data mining; logistic regression; sports betting
• Language: croatian
• URN:NBN: urn:nbn:hr:168:738348
• Study programme: Title: Computing; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2018-02-06 10:30:54