國立高雄大學圖資館 |

Machine learning and data mining for sports analytics10th International Workshop, MLSA 2023, Turin, Italy, September 18, 2023 : revised selected papers /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Machine learning and data mining for sports analyticsedited by Ulf Brefeld ... [et al.].
Reminder of title:	10th International Workshop, MLSA 2023, Turin, Italy, September 18, 2023 : revised selected papers /
remainder title:	MLSA 2023
other author:	Brefeld, Ulf.
corporate name:
Published:	Cham :Springer Nature Switzerland :2024.
Description:	x, 204 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Data miningCongresses.
Online resource:	https://doi.org/10.1007/978-3-031-53833-9
ISBN:	9783031538339$q(electronic bk.)

Machine learning and data mining for sports analytics10th International Workshop, MLSA 2023, Turin, Italy, September 18, 2023 : revised selected papers /
Machine learning and data mining for sports analytics10th International Workshop, MLSA 2023, Turin, Italy, September 18, 2023 : revised selected papers /[electronic resource] :MLSA 2023edited by Ulf Brefeld ... [et al.]. - Cham :Springer Nature Switzerland :2024. - x, 204 p. :ill., digital ;24 cm. - Communications in computer and information science,20351865-0937 ;. - Communications in computer and information science ;229..

Sports 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.

This 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.

ISBN: 9783031538339$q(electronic bk.)

Standard No.: 10.1007/978-3-031-53833-9doiSubjects--Topical Terms:

380776
Data mining
--Congresses.

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

Machine learning and data mining for sports analytics10th International Workshop, MLSA 2023, Turin, Italy, September 18, 2023 : revised selected papers /
LDR:02745nmm a2200349 a 4500 001 662827
003 DE-He213
005 20240225064023.0
006 m d
007 cr nn 008maaau
008 241203s2024 sz s 0 eng d
020 $a 9783031538339$q(electronic bk.)
020 $a 9783031538322$q(paper)
024 7 $a 10.1007/978-3-031-53833-9 $2 doi
035 $a 978-3-031-53833-9
040 $a GP $c GP
041 0 $a eng
050 4 $a Q325.5
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.31 $2 23
090 $a Q325.5 $b .M685 2023
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Machine learning and data mining for sports analytics $h [electronic resource] : $b 10th International Workshop, MLSA 2023, Turin, Italy, September 18, 2023 : revised selected papers / $c edited by Ulf Brefeld ... [et al.].
246 3 $a MLSA 2023
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2024.
300 $a x, 204 p. : $b ill., digital ; $c 24 cm.
490 1 $a Communications in computer and information science, $x 1865-0937 ; $v 2035
505 0 $a Sports 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.
520 $a This 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.
650 0 $a Data mining $v Congresses. $3 380776
650 0 $a Sports $x Data processing $v Congresses. $3 836113
650 1 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Computer Communication Networks. $3 218087
650 0 $a Machine learning $v Congresses. $3 384498
650 2 4 $a Computer and Information Systems Applications. $3 913125
650 2 4 $a Database Management System. $3 914921
650 2 4 $a Software Engineering. $3 274511
700 1 $a Brefeld, Ulf. $3 836112
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Communications in computer and information science ; $v 229. $3 547963
856 4 0 $u https://doi.org/10.1007/978-3-031-53833-9
950 $a Computer Science (SpringerNature-11645)