Authors:
Tomislav Horvat
1
;
Ladislav Havaš
1
;
Dunja Srpak
1
and
Vladimir Medved
2
Affiliations:
1
Department of Electrical Engineering, University North, 104 Brigade 3, Varaždin and Croatia
;
2
Department of General and Applied Kinesiology, Faculty of Kinesiology, University of Zagreb, Zagreb and Croatia
Keyword(s):
Basketball, Information System, Making Decisions, Statistics Analysis, Web Application.
Abstract:
Statistical analysis combined with data mining and machine learning is increasingly used in sports. This paper presents an overview of existing commercial information systems used in game analysis and describes the new and improved version of originally developed data-driven Web application / information system called Basketball Coach Assistant (later BCA) for sports statistics and analysis. The aim of BCA is to provide the essential information for decision making in training process and coaching basketball teams. Special emphasis, along with statistical analysis, is given to the player’s progress indicators and statistical analysis based on data mining methods used to define played game point’s difference classes. The results obtained by using BCA information system, presented in tables, proved to be useful in programing training process and making strategic, tactical and operational decisions. Finally, guidelines for the further information system development are given primarily f
or the use of data mining and machine learning methods.
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