000 | 03254nam a22006135i 4500 | ||
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001 | 978-3-030-17274-9 | ||
003 | DE-He213 | ||
005 | 20240730170758.0 | ||
007 | cr nn 008mamaa | ||
008 | 190406s2019 sz | s |||| 0|eng d | ||
020 |
_a9783030172749 _9978-3-030-17274-9 |
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024 | 7 |
_a10.1007/978-3-030-17274-9 _2doi |
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050 | 4 | _aQ334-342 | |
050 | 4 | _aTA347.A78 | |
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_aMachine Learning and Data Mining for Sports Analytics _h[electronic resource] : _b5th International Workshop, MLSA 2018, Co-located with ECML/PKDD 2018, Dublin, Ireland, September 10, 2018, Proceedings / _cedited by Ulf Brefeld, Jesse Davis, Jan Van Haaren, Albrecht Zimmermann. |
250 | _a1st ed. 2019. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2019. |
|
300 |
_aX, 179 p. 57 illus., 41 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v11330 |
|
520 | _aThis book constitutes the refereed post-conference proceedings of the 5th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2018, colocated with ECML/PKDD 2018, in Dublin, Ireland, in September 2018. The 12 full papers presented together with 4 challenge papers were carefully reviewed and selected from 24 submissions. The papers present a variety of topics, covering the team sports American football, basketball, ice hockey, and soccer, as well as the individual sports cycling and martial arts. In addition, four challenge papers are included, reporting on how to predict pass receivers in soccer. . | ||
650 | 0 |
_aArtificial intelligence. _93407 |
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650 | 0 |
_aData mining. _93907 |
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650 | 0 |
_aComputer science _xMathematics. _93866 |
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650 | 0 |
_aMathematical statistics. _99597 |
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650 | 0 |
_aPattern recognition systems. _93953 |
|
650 | 1 | 4 |
_aArtificial Intelligence. _93407 |
650 | 2 | 4 |
_aData Mining and Knowledge Discovery. _995235 |
650 | 2 | 4 |
_aProbability and Statistics in Computer Science. _931857 |
650 | 2 | 4 |
_aAutomated Pattern Recognition. _931568 |
700 | 1 |
_aBrefeld, Ulf. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _995238 |
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700 | 1 |
_aDavis, Jesse. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _995240 |
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700 | 1 |
_aVan Haaren, Jan. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _995241 |
|
700 | 1 |
_aZimmermann, Albrecht. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _995244 |
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710 | 2 |
_aSpringerLink (Online service) _995245 |
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773 | 0 | _tSpringer Nature eBook | |
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_iPrinted edition: _z9783030172732 |
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_iPrinted edition: _z9783030172756 |
830 | 0 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v11330 _995247 |
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856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-030-17274-9 |
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