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200 10$aMachine Learning and Data Mining for Sports Analytics $e10th International Workshop, MLSA 2023, Turin, Italy, September 18, 2023, Revised Selected Papers /$fedited by Ulf Brefeld, Jesse Davis, Jan Van Haaren, Albrecht Zimmermann
205   $a1st ed. 2024.
210  1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024.
215   $a1 online resource (206 pages)
225 1 $aCommunications in Computer and Information Science,$x1865-0937 ;$v2035
311 08$a3-031-53832-3 
320   $aIncludes bibliographical references and index.
327   $aSports Data Analytics: An Art and a Science -- Foot ball/ soccer -- ETSY: A rule-based approach to Event and Tracking data Synchronization -- Masked Autoencoder Pretraining for Event Classi cation in Elite Soccer -- Quanti cation of Turnover Danger with xCounter -- Pass Receiver and Outcome Prediction in Soccer Using Temporal -- Graph Networks -- Field Depth Matters: Comparing the Valuation of Passes in Football -- Basket ball -- Momentum matters: investigating high-pressure situations in the NBA through scoring probability -- Are Sports Awards About Sports? Using AI to Find the Answer -- The Big Three: a practical framework for designing Decision Support -- Systems in Sports and an application for basketball -- Ot her t eam sp ort s -- What data should be collected for a good handball Expected Goal model? .-Identifying Player Roles in Ice Hockey -- Position Prediction -- Boat speed prediction in SailGP -- Individual sp ort s -- Exploring Table Tennis Analytics: Domination, Expected Score and Shot Diversity -- Specialization Evaluation -- Exploiting Clustering for Sports Data Analysis: A Study of Public and Real-world Datasets.
330   $aThis book constitutes the refereed proceedings of the 10th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2023, held in Turin, Italy, in September 2023. The 16 full papers included in this book were carefully reviewed and selected from 31 submissions. They were organized in topical sections as follows: Football/Soccer, Basketball, Other team sports, Individual sports.
410  0$aCommunications in Computer and Information Science,$x1865-0937 ;$v2035
606   $aArtificial intelligence
606   $aComputer networks
606   $aApplication software
606   $aDatabase management
606   $aSoftware engineering
606   $aArtificial Intelligence
606   $aComputer Communication Networks
606   $aComputer and Information Systems Applications
606   $aDatabase Management System
606   $aSoftware Engineering
615  0$aArtificial intelligence.
615  0$aComputer networks.
615  0$aApplication software.
615  0$aDatabase management.
615  0$aSoftware engineering.
615 14$aArtificial Intelligence.
615 24$aComputer Communication Networks.
615 24$aComputer and Information Systems Applications.
615 24$aDatabase Management System.
615 24$aSoftware Engineering.
676   $a006.3
702   $aBrefeld$b Ulf
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910841854803321
996   $aMachine learning and data mining for sports analytics$91949689
997   $aUNINA