Uporaba prediktivnih metoda i analize teksta za potrebe predviđanja ishoda teniskih mečeva i razvoja strategije klađenja

master's thesis

• Title (english): The Use of Predictive Methods and Text Analysis for the Purposes of Predicting the Outcomes of Tennis Matches and Developing Betting Strategies
• Author: Zvonimir Petar Rezo
• Mentor: Damir Pintar (mentor)
• Committee member: Damir Pintar (predsjednik povjerenstva)
• Committee member: Mihaela Vranić (član povjerenstva)
• Committee member: Luka Humski (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2023-07-13, Croatia

Abstract

U ovom radu razvijen je sustav za predviđanje ishoda teniskih mečeva kroz upotrebu strojnog učenja i Markovljevih lanaca. U prvim poglavljima objašnjene su osnove tenisa te je opisan korišteni skup podataka i razvijeni prediktivni modeli. Različite varijante razvijenih modela evaluirane su na različitim skupovima značajki, a obavljena je i analiza intervjua igrača koristeći metode NLP-a te su dobivene značajke korištene u modelima. Uz to, rad uključuje izradu i evaluaciju raznih strategija klađenja koje se temelje na dobivenim prediktivnim modelima.

Abstract (english)

In this study, a system for predicting the outcomes of tennis matches using machine
learning and Markov chains was developed. The initial chapters explain the basics of
tennis and describe the used data set and developed predictive models. Various variations of the developed models were evaluated on different feature sets. Also, player
interviews were analyzed using NLP methods and obtained features were incorporated into models. In addition, the study involves the creation and evaluation of various
betting strategies based on the obtained predictive models.

• Keywords: tenis; prediktivno modeliranje; analiza teksta; strojno učenje; Markovljevi lanci
• Keywords (english): tennis; predictive modeling; text analysis; machine learning; Markov chains
• Language: croatian
• URN:NBN: urn:nbn:hr:168:675805
• 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: 2023-10-11 10:20:52