LEADER 02924nam 2200505 450 001 996547950303316 005 20230523074244.0 010 $a3-031-27527-6 024 7 $a10.1007/978-3-031-27527-2 035 $a(MiAaPQ)EBC7206754 035 $a(Au-PeEL)EBL7206754 035 $a(CKB)26186216300041 035 $a(DE-He213)978-3-031-27527-2 035 $a(PPN)268205663 035 $a(EXLCZ)9926186216300041 100 $a20230523d2023 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aMachine learning and data mining for sports analytics $e9th International Workshop, MLSA 2021, September 19, 2022 /$fUlf Brefeld [and three others] editors 205 $a1st ed. 2023. 210 1$aCham, Switzerland :$cSpringer,$d[2023] 210 4$dİ2023 215 $a1 online resource (x, 127 pages) $cillustrations 225 1 $aCommunications in computer and information science ;$v1783 311 08$aPrint version: Brefeld, Ulf Machine Learning and Data Mining for Sports Analytics Cham : Springer,c2023 9783031275265 320 $aIncludes bibliographical references and index. 327 $aFootball -- Towards expected counter - Using comprehensible features to predict counterattacks -- Shot analysis in different levels of German football using Expected Goals -- Analyzing passing sequences for the prediction of goal-scoring opportunities -- Let?s penetrate the defense: A machine learning model for prediction and valuation of penetrative passes -- Evaluation of creating scoring opportunities for teammates in soccer via trajectory prediction -- Cost-efficient and bias-robust sports player tracking by integrating GPS and video -- Racket sports -- Predicting tennis serve directions with machine learning -- Discovering and visualizing tactics in table tennis games based on subgroup discovery -- Cycling -- Athlete monitoring in professional road cycling using similarity search on time series data. 330 $aThis book constitutes the refereed proceedings of the 9th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2022, held in Grenoble, France, during September 19, 2022. The 10 full papers included in this book were carefully reviewed and selected from 18 submissions. They were organized in topical sections as follows: Football, Racket sports, Cycling. 410 0$aCommunications in computer and information science ;$v1783. 606 $aData mining$vCongresses 606 $aMachine learning$vCongresses 615 0$aData mining 615 0$aMachine learning 676 $a006.3 702 $aBrefeld$b Ulf 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996547950303316 996 $aMachine learning and data mining for sports analytics$91949689 997 $aUNISA