東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Machine learning and data mining for...

MLSA (Workshop) (2022 :)

FindBook

Google Book

Amazon

博客來

Machine learning and data mining for sports analytics = 9th International Workshop, MLSA 2022, Grenoble, France, September 19, 2022 : revised selected papers /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Machine learning and data mining for sports analytics/ edited by Ulf Brefeld ... [et al.].
其他題名:	9th International Workshop, MLSA 2022, Grenoble, France, September 19, 2022 : revised selected papers /
其他題名:	MLSA 2022
其他作者:	Brefeld, Ulf.
團體作者:	MLSA (Workshop)
出版者:	Cham :Springer Nature Switzerland : : 2023.,
面頁冊數:	x, 127 p. :ill. (some col.), digital ;24 cm.
內容註:	Football -- 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.
Contained By:	Springer Nature eBook
標題:	Machine learning - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-031-27527-2
ISBN:	9783031275272

Machine learning and data mining for sports analytics = 9th International Workshop, MLSA 2022, Grenoble, France, September 19, 2022 : revised selected papers /
Machine learning and data mining for sports analytics9th International Workshop, MLSA 2022, Grenoble, France, September 19, 2022 : revised selected papers /[electronic resource] :MLSA 2022edited by Ulf Brefeld ... [et al.]. - Cham :Springer Nature Switzerland :2023. - x, 127 p. :ill. (some col.), digital ;24 cm. - Communications in computer and information science,17831865-0937 ;. - Communications in computer and information science ;1783..

Football -- 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.

This 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.

ISBN: 9783031275272

Standard No.: 10.1007/978-3-031-27527-2doiSubjects--Topical Terms:

576368
Machine learning
--Congresses.

LC Class. No.: Q325.5 / .M57 2022

Dewey Class. No.: 006.31

Machine learning and data mining for sports analytics = 9th International Workshop, MLSA 2022, Grenoble, France, September 19, 2022 : revised selected papers /
LDR:02418nmm a2200349 a 4500 001 2315634
003 DE-He213
005 20230224071450.0
006 m d
007 cr nn 008maaau
008 230902s2023 sz s 0 eng d
020 $a 9783031275272 $q (electronic bk.)
020 $a 9783031275265 $q (paper)
024 7 $a 10.1007/978-3-031-27527-2 $2 doi
035 $a 978-3-031-27527-2
040 $a GP $c GP
041 0 $a eng
050 4 $a Q325.5 $b .M57 2022
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 2022
111 2 $a MLSA (Workshop) $n (9th : $d 2022 : $c Grenoble, France) $3 3628130
245 1 0 $a Machine learning and data mining for sports analytics $h [electronic resource] : $b 9th International Workshop, MLSA 2022, Grenoble, France, September 19, 2022 : revised selected papers / $c edited by Ulf Brefeld ... [et al.].
246 3 $a MLSA 2022
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2023.
300 $a x, 127 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Communications in computer and information science, $x 1865-0937 ; $v 1783
505 0 $a Football -- 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.
520 $a This 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.
650 0 $a Machine learning $x Congresses. $3 576368
650 0 $a Data mining $v Congresses. $3 551626
650 0 $a Sports $x Data processing $v Congresses. $3 3386393
650 1 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Computer Communication Networks. $3 775497
650 2 4 $a Computer and Information Systems Applications. $3 3538505
650 2 4 $a Database Management System. $3 3591759
650 2 4 $a Software Engineering. $3 890874
700 1 $a Brefeld, Ulf. $3 3382563
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Communications in computer and information science ; $v 1783. $3 3628131
856 4 0 $u https://doi.org/10.1007/978-3-031-27527-2
950 $a Computer Science (SpringerNature-11645)