| 000 | 04936nam a22005655i 4500 | ||
|---|---|---|---|
| 001 | 978-3-662-68313-2 | ||
| 003 | DE-He213 | ||
| 005 | 20251030111501.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 240305s2024 gw | s |||| 0|eng d | ||
| 020 |
_a9783662683132 _9978-3-662-68313-2 |
||
| 024 | 7 |
_a10.1007/978-3-662-68313-2 _2doi |
|
| 050 | 4 | _aGV557-558 | |
| 072 | 7 |
_aWS _2bicssc |
|
| 072 | 7 |
_aSPO000000 _2bisacsh |
|
| 072 | 7 |
_aS _2thema |
|
| 245 | 1 | 0 |
_aComputer Science in Sport _h[electronic resource] : _bModeling, Simulation, Data Analysis and Visualization of Sports-Related Data / _cedited by Daniel Memmert. |
| 250 | _a1st ed. 2024. | ||
| 264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2024. |
|
| 300 |
_aXVII, 249 p. 11 illus. _bonline resource. |
||
| 336 |
_atext _btxt _2rdacontent |
||
| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
||
| 347 |
_atext file _bPDF _2rda |
||
| 505 | 0 | _aI HISTORY -- History -- II DATA -- Artificial data -- Text data -- Video data -- Event data -- Position data -- Online data -- III MODELING -- Modeling -- Predictive models -- Physiological modeling -- IV SIMULATION -- Simulation -- Metabolic simulation -- Simulation of physiological adaptation processes -- V PROGRAMMING LANGUAGES -- An introduction to the programming language R for beginners -- Phyton -- VI DATA ANALYSIS -- Logistic Regression -- Time Series Data Mining -- Process Mining -- Networks Centrality -- Artificial Neural Networks -- Deep Neural Networks -- Convolutional Neural Networks -- Transfer Learning -- Random Forest -- Statistical learning for the modeling of soccer matches -- Open-Set Recognition -- VII VISUALIZATION -- Visualization – Basics and Concepts -- VIII OUTLOOK -- Outlook. . | |
| 520 | _aIn recent years, computer science in sport has grown extremely, mainly because more and more new data has become available. Computer science tools in sports, whether used for opponent preparation, competition, or scientific analysis, have become indispensable across various levels of expertise nowadays. A completely new market has emerged through the utilization of these tools in the four major fields of application: clubs and associations, business, science, and the media. This market is progressively gaining importance within university research and educational activities. This textbook aims to live up to the now broad diversity of computer science in sport by having more than 30 authors report from their special field and concisely summarise the latest findings. The book is divided into four main sections: data sets, modelling, simulation and data analysis. In addition to background information on programming languages and visualisation, the textbook is framed by history and an outlook. Students with a connection to sports science are given a comprehensive insight into computer science in sport, supported by a didactically sophisticated concept that makes it easy to convey the learning content. Numerous questions for self-testing underpin the learning effect and ensure optimal exam preparation. For advanced students, the in-depth discussion of time series data mining, artificial neural networks, convolution kernels, transfer learning and random forests offers additional value. The Editor Prof. Dr Daniel Memmert is the executive director and professor at the Institute of Exercise Training and Sport Informatics at the German Sport University Cologne. He is the editor and author of numerous textbooks with a focus on exercise science, sports psychology and informatics. His institute organises two certificate programmes (Game Analysis Team Cologne / Sports Director in Youth and Amateur Soccer) as well as the first international Master's degree programme "Match Analysis". | ||
| 650 | 0 |
_aSports sciences. _967947 |
|
| 650 | 0 |
_aRecreation _xEquipment and supplies. _967948 |
|
| 650 | 0 |
_aArtificial intelligence _xData processing. |
|
| 650 | 0 |
_aMedical informatics. _960693 |
|
| 650 | 0 | _aQuantitative research. | |
| 650 | 1 | 4 |
_aSport Science. _968591 |
| 650 | 2 | 4 |
_aSport Analytics. _972445 |
| 650 | 2 | 4 |
_aSport Technology. _967949 |
| 650 | 2 | 4 | _aData Science. |
| 650 | 2 | 4 | _aHealth Informatics. |
| 650 | 2 | 4 | _aData Analysis and Big Data. |
| 700 | 1 |
_aMemmert, Daniel. _eeditor. _0(orcid)0000-0002-3406-9175 _1https://orcid.org/0000-0002-3406-9175 _4edt _4http://id.loc.gov/vocabulary/relators/edt _972446 |
|
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783662683125 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783662683149 |
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-662-68313-2 |
| 912 | _aZDB-2-SBL | ||
| 912 | _aZDB-2-SXB | ||
| 999 |
_c58119 _d58119 |
||