LEADER 04972nam 22006975 450 001 9910842498103321 005 20240701120819.0 010 $a3-662-68313-X 024 7 $a10.1007/978-3-662-68313-2 035 $a(CKB)30763929200041 035 $a(MiAaPQ)EBC31200693 035 $a(Au-PeEL)EBL31200693 035 $a(MiAaPQ)EBC31203803 035 $a(Au-PeEL)EBL31203803 035 $a(DE-He213)978-3-662-68313-2 035 $a(EXLCZ)9930763929200041 100 $a20240305d2024 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputer Science in Sport $eModeling, Simulation, Data Analysis and Visualization of Sports-Related Data /$fedited by Daniel Memmert 205 $a1st ed. 2024. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2024. 215 $a1 online resource (247 pages) 311 $a3-662-68312-1 320 $aIncludes bibliographical references and index. 327 $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. . 330 $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". 606 $aSports sciences 606 $aRecreation$xEquipment and supplies 606 $aArtificial intelligence$xData processing 606 $aMedical informatics 606 $aQuantitative research 606 $aSport Science 606 $aSport Analytics 606 $aSport Technology 606 $aData Science 606 $aHealth Informatics 606 $aData Analysis and Big Data 615 0$aSports sciences. 615 0$aRecreation$xEquipment and supplies. 615 0$aArtificial intelligence$xData processing. 615 0$aMedical informatics. 615 0$aQuantitative research. 615 14$aSport Science. 615 24$aSport Analytics. 615 24$aSport Technology. 615 24$aData Science. 615 24$aHealth Informatics. 615 24$aData Analysis and Big Data. 676 $a796.07 702 $aMemmert$b Daniel 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910842498103321 996 $aComputer Science in Sport$94235856 997 $aUNINA