000			01795nam a2200385Ia 4500
000			03165nam a22004095i 4500
001			978-3-031-27527-2
003			DE-He213
005			20240319121129.0
007			cr nn 008mamaa
008			230224s2023 sz | s |||| 0|eng d
020			_a9783031275272 _9978-3-031-27527-2
082			_a6.3
245			_aMachine Learning and Data Mining for Sports Analytics _cedited by Ulf Brefeld, Jesse Davis, Jan Van Haaren, Albrecht Zimmermann. _h[electronic resource] :
250			_a1st ed. 2023.
260			_aCham _bSpringer Nature Switzerland _c2023
300			_aX, 127 p. 47 illus., 38 illus. in color. _bonline resource.
520			_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.
650			_aApplication software. _938964
650			_aArtificial intelligence. _938965
650			_aArtificial Intelligence. _938966
650			_aComputer and Information Systems Applications. _938967
650			_aComputer Communication Networks. _938968
650			_aComputer networks . _938969
650			_aDatabase Management System. _938970
650			_aDatabase management. _938971
650			_aSoftware engineering. _938972
650			_aSoftware Engineering. _938973
700			_aBrefeld, Ulf. _938974
700			_aDavis, Jesse. _938975
700			_aVan Haaren, Jan. _938976
700			_aZimmermann, Albrecht. _938977
856			_uhttps://doi.org/10.1007/978-3-031-27527-2
942			_cEBK _2ddc
999			_c15832 _d15832