Sports are getting more and more benefit from use of information technologies. Information technologies can provide not only collected sport event statistics but also can give more complex analysis results that can be used for planning sport strategies and tactics. Also information technologies are used in sports monitoring, data gathering and result data analysis. Great results are achieved in basketball monitoring and data analysis. Most popular and widely used basketball data analysis methods are rating systems. Other analysis methods can provide predictions on forthcoming basketball games. With aim to provide new possibilities in data analysis area some popular basketball data analysis methods are introduced with discussed possibilities of methods improvements. As a research result possibilities for basketball rating systems improvements are proposed. Also framework for basketball games prediction methods precision research is designed and developed. Using developed framework prediction methods are researched and main results provided.
| Identifer | oai:union.ndltd.org:LABT_ETD/oai:elaba.lt:LT-eLABa-0001:E.02~2006~D_20060526_101549-80923 |
| Date | 26 May 2006 |
| Creators | Morkūnas, Gintaras |
| Contributors | Kazanavičius, Egidijus, Butleris, Rimantas, Karčiauskas, Eimutis, Šeinauskas, Rimantas, Stulpinas, Raimundas, Motiejūnas, Kęstutis, Riškus, Aleksas, Štuikys, Vytautas, Bareiša, Eduardas, Kaunas University of Technology |
| Publisher | Lithuanian Academic Libraries Network (LABT), Kaunas University of Technology |
| Source Sets | Lithuanian ETD submission system |
| Language | Lithuanian |
| Detected Language | English |
| Type | Master thesis |
| Format | application/pdf |
| Source | http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2006~D_20060526_101549-80923 |
| Rights | Unrestricted |
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