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master's thesis
Primjena metoda dubinske analize podataka pri analizi košarkaške lige
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. urn:nbn:hr:168:531368
Raguž, Marko
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Raguž, M. (2019). Primjena metoda dubinske analize podataka pri analizi košarkaške lige (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:531368

Raguž, Marko. "Primjena metoda dubinske analize podataka pri analizi košarkaške lige." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:531368

Raguž, Marko. "Primjena metoda dubinske analize podataka pri analizi košarkaške lige." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:531368

Raguž, M. (2019). 'Primjena metoda dubinske analize podataka pri analizi košarkaške lige', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 15 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:531368

Raguž M. Primjena metoda dubinske analize podataka pri analizi košarkaške lige [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2019 [cited 2024 June 15] Available at: https://urn.nsk.hr/urn:nbn:hr:168:531368

M. Raguž, "Primjena metoda dubinske analize podataka pri analizi košarkaške lige", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:168:531368

Metadata
TitlePrimjena metoda dubinske analize podataka pri analizi košarkaške lige
Title (english)Application of data mining methods in basketball league analysis
AuthorMarko Raguž
MentorBoris Vrdoljak (mentor)
Committee memberBoris Vrdoljak (član povjerenstva)
Committee memberLjiljana Brkić (član povjerenstva)
Committee memberDamir Pintar (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2019-09-23, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom radu opisuju se metode dubinske analize i strojnog učenja te ih se primjenjuje za analizu podataka iz NBA košarkaške lige. Opisuju se načini dohvaćanja podataka te rukovanje i vizualizacija tih podataka. Opisuju se načini pripreme podataka za analizu kao što su normalizacija ili smanjenje dimenzionalnosti prostora značajki, te se na specifičnim primjerima pokazuje za što služe. Opisuje se grupiranje podataka te se pokazuje primjena algoritma grupiranja. Opisuju se metode predviđanja strojnog učenja kao što su regresija i klasifikacija. Detaljnije se opisuje logistička regresija i pokazuje se primjena logističke regresije na specifični zadatak predviđanja unutar NBA lige, te se analiziraju rezultati tog predviđanja.
Abstract (english)
In this work we are describing different data mining methods and applying them to analyse data from NBA basketball league. We showed ways of getting, handling and visualizing the data. We showed ways of preparing the data for analysis such as normalization and feature space dimension reduction and showed their use on specific examples. We described data clustering and showed the application of data clustering algorithms. We described prediction methods of machine learning such as regression and classification. We described logistic regression in more detail and showed it’s application on a specific prediction task in NBA league and analysed the results of that prediction.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:531368
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 on2020-01-07 21:45:21