diplomsko delo
Anže Kravanja (Avtor), Igor Kononenko (Mentor)

Povzetek

Napovedovanje zmagovalcev košarkarskih tekem

Ključne besede

podatkovno rudarjenje;strojno učenje;košarka;napovedovanje zmagovalcev;športno napovedovanje;računalništvo;univerzitetni študij;diplomske naloge;

Podatki

Jezik: Slovenski jezik
Leto izida:
Tipologija: 2.11 - Diplomsko delo
Organizacija: UL FRI - Fakulteta za računalništvo in informatiko
Založnik: [A. Kravanja]
UDK: 004.8:796.323.2(043.2)
COBISS: 9691476 Povezava se bo odprla v novem oknu
Št. ogledov: 42
Št. prenosov: 5
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

Sekundarni jezik: Angleški jezik
Sekundarni naslov: Predicting the winners of basketball games
Sekundarni povzetek: The main goal of this thesis was to develop a prediction model for predicting basketball matches in the NBA. The problem was solved by using the techniques found in data mining, which include using machine learning algorithms, artificial intelligence and statistics. We present the whole path of development of such model from the initial parsing of so called ''play-by-play'' data, to the testing phase and choosing the final prediction model. We explored the qualitiy of attributes used, their connection to the class variable and help in prediction. While in testing phase, we tried different machine learning algorithms and we kept those whose predictions were promising. We combined the best algorithms in an ensemble to get even better results. We compared our results with betting odds, which give best predictions. At the end, we look deeper into the problems of our prediction model and gave suggestions about possible improvements and future work.
Sekundarne ključne besede: data mining;machine learning;basketball;winner predictions;sports forecasting;computer science;diploma;
Vrsta datoteke: application/pdf
Vrsta dela (COBISS): Diplomsko delo
Komentar na gradivo: Univ. v Ljubljani, Fak. za računalništvo in informatiko
Strani: 49 str.
ID: 24181890