國立高雄大學圖資館 |

Language: English

Back

Machine learning and data mining for sports analytics11th international workshop, MLSA 2024, Vilnius, Lithuania, September 9, 2024, 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:	11th international workshop, MLSA 2024, Vilnius, Lithuania, September 9, 2024, revised selected papers /
remainder title:	MLSA 2024
other author:	Brefeld, Ulf.
corporate name:
Published:	Cham :Springer Nature Switzerland :2025.
Description:	x, 119 p. :ill. (chiefly col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Machine learningCongresses.
Online resource:	https://doi.org/10.1007/978-3-031-86692-0
ISBN:	9783031866920$q(electronic bk.)

Machine learning and data mining for sports analytics11th international workshop, MLSA 2024, Vilnius, Lithuania, September 9, 2024, revised selected papers /
Machine learning and data mining for sports analytics11th international workshop, MLSA 2024, Vilnius, Lithuania, September 9, 2024, revised selected papers /[electronic resource] :MLSA 2024edited by Ulf Brefeld ... [et al.]. - Cham :Springer Nature Switzerland :2025. - x, 119 p. :ill. (chiefly col.), digital ;24 cm. - Communications in computer and information science,24601865-0937 ;. - Communications in computer and information science ;229..

-- Individual sports. -- Characterizing Serves in Table Tennis. -- Large Language Models on Race Commentary: Towards Granular Data in Cycling Analytics. -- Basketball. -- GraphEIV: A Framework for Estimating the Expected Immediate Value in Basketball Using Graph Neural Networks. -- Mathematical models for "off-ball" scoring prediction in basketball. -- Soccer. -- An Analysis of the Influence of Game Context on Team Playing Style. -- Augmented Intelligence for FIFA Predictions. -- Transformer-based Framework for Versatile Analysis of Events Data in Soccer. -- Other team sports/e-Sports. -- Automated Detection of Shot Events in Game Phases Using GNSS Data from a Single Team. -- Team Dynamics in DotA2 through Attention Mechanism.

This book constitutes the refereed proceedings of the 11th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2024, held in Vilnius, Lithuania, on September 9, 2024. The 9 full papers presented in this volume were carefully reviewed and selected from 21 submissions. They are grouped into the following topics: Individual sports; Basketball; Soccer; Other team sports/e-Sports.

ISBN: 9783031866920$q(electronic bk.)

Standard No.: 10.1007/978-3-031-86692-0doiSubjects--Topical Terms:

384498
Machine learning
--Congresses.

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

Machine learning and data mining for sports analytics11th international workshop, MLSA 2024, Vilnius, Lithuania, September 9, 2024, revised selected papers /
LDR:02382nmm a22003495a 4500 001 692732
003 DE-He213
005 20251229082457.0
006 m d
007 cr nn 008maaau
008 260622s2025 sz s 0 eng d
020 $a 9783031866920$q(electronic bk.)
020 $a 9783031866913$q(paper)
024 7 $a 10.1007/978-3-031-86692-0 $2 doi
035 $a 978-3-031-86692-0
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 2024
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 11th international workshop, MLSA 2024, Vilnius, Lithuania, September 9, 2024, revised selected papers / $c edited by Ulf Brefeld ... [et al.].
246 3 $a MLSA 2024
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2025.
300 $a x, 119 p. : $b ill. (chiefly col.), digital ; $c 24 cm.
490 1 $a Communications in computer and information science, $x 1865-0937 ; $v 2460
505 0 $a -- Individual sports. -- Characterizing Serves in Table Tennis. -- Large Language Models on Race Commentary: Towards Granular Data in Cycling Analytics. -- Basketball. -- GraphEIV: A Framework for Estimating the Expected Immediate Value in Basketball Using Graph Neural Networks. -- Mathematical models for "off-ball" scoring prediction in basketball. -- Soccer. -- An Analysis of the Influence of Game Context on Team Playing Style. -- Augmented Intelligence for FIFA Predictions. -- Transformer-based Framework for Versatile Analysis of Events Data in Soccer. -- Other team sports/e-Sports. -- Automated Detection of Shot Events in Game Phases Using GNSS Data from a Single Team. -- Team Dynamics in DotA2 through Attention Mechanism.
520 $a This book constitutes the refereed proceedings of the 11th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2024, held in Vilnius, Lithuania, on September 9, 2024. The 9 full papers presented in this volume were carefully reviewed and selected from 21 submissions. They are grouped into the following topics: Individual sports; Basketball; Soccer; Other team sports/e-Sports.
650 0 $a Machine learning $v Congresses. $3 384498
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 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/10.1007/978-3-031-86692-0
950 $a Artificial Intelligence (R0) (SpringerNature-85269)