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Predictive analytics for identifying most valuable players in the 2024 T20 cricket world cup: A comparative study of support vector regression Kernels.

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Title: Predictive analytics for identifying most valuable players in the 2024 T20 cricket world cup: A comparative study of support vector regression Kernels.
Authors: SANJAYKUMAR, SWAMYNATHAN1, NATARAJAN, SUBHASHREE2, LAKSHMI, PONNUSAMY YOGA3 yogalakp@srmist.edu.in, ORHAN, BEKIR ERHAN4, LOBO, JOSEPH5, GEANTĂ, VLAD-ADRIAN6,7, NÉMETH, ZSOLT8
Source: Journal of Physical Education & Sport. Oct2024, Vol. 25 Issue 10, p1324-1330.
Database: SPORTDiscus with Full Text
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An: 180814272
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  Data: Predictive analytics for identifying most valuable players in the 2024 T20 cricket world cup: A comparative study of support vector regression Kernels.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Physical+Education+%26+Sport%22">Journal of Physical Education & Sport</searchLink>. Oct2024, Vol. 25 Issue 10, p1324-1330.
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      – Type: doi
        Value: 10.7752/jpes.2024.10256
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      – Text: English
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        PageCount: 7
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      – TitleFull: Predictive analytics for identifying most valuable players in the 2024 T20 cricket world cup: A comparative study of support vector regression Kernels.
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            NameFull: SANJAYKUMAR, SWAMYNATHAN
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            NameFull: NATARAJAN, SUBHASHREE
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            NameFull: LAKSHMI, PONNUSAMY YOGA
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            NameFull: LOBO, JOSEPH
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              Text: Oct2024
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              Y: 2024
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