Publication: How to make sense of team sport data: From acquisition to data modeling and research aspects
How to make sense of team sport data: From acquisition to data modeling and research aspects
Date
Date
Date
Citations
Stein, M., Janetzko, H., Seebacher, D., Jäger, A., Nagel, M., Hölsch, J., Kosub, S., Schreck, T., Keim, D., & Grossniklaus, M. (2017). How to make sense of team sport data: From acquisition to data modeling and research aspects. Data, 2(1), online. https://doi.org/10.3390/data2010002
Abstract
Abstract
Abstract
Automatic and interactive data analysis is instrumental in making use of increasing amounts of complex data. Owing to novel sensor modalities, analysis of data generated in professional team sport leagues such as soccer, baseball, and basketball has recently become of concern, with potentially high commercial and research interest. The analysis of team ball games can serve many goals, e.g., in coaching to understand effects of strategies and tactics, or to derive insights improving performance. Also, it is often decisive to trainers a
Metrics
Additional indexing
Creators (Authors)
- Stein, Manuel
- Janetzko, Halldór
- Seebacher, Daniel
- Jäger, Alexander
- Nagel, Manuel
- Hölsch, Jürgen
- Kosub, Sven
- Schreck, Tobias
- Grossniklaus, Michael
Volume
Volume
Volume
Number
Number
Number
Page range/Item number
Page range/Item number
Page range/Item number
Item Type
Item Type
Item Type
In collections
Dewey Decimal Classifikation
Dewey Decimal Classifikation
Dewey Decimal Classifikation
Language
Language
Language
Publication date
Publication date
Publication date
Date available
Date available
Date available
ISSN or e-ISSN
ISSN or e-ISSN
ISSN or e-ISSN
OA Status
OA Status
OA Status
Publisher DOI
Metrics
Citations
Stein, M., Janetzko, H., Seebacher, D., Jäger, A., Nagel, M., Hölsch, J., Kosub, S., Schreck, T., Keim, D., & Grossniklaus, M. (2017). How to make sense of team sport data: From acquisition to data modeling and research aspects. Data, 2(1), online. https://doi.org/10.3390/data2010002
