ANALYSIS OF ATHLETES’ RUNNING ABILITY DATA MINING ALGORITHM BASED ON THE DYNAMIC CHARACTERISTICS OF FOOTBALL PLAYERS

Detalhes bibliográficos
Autor(a) principal: Zhang,Long
Data de Publicação: 2021
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista brasileira de medicina do esporte (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-86922021000800020
Resumo: ABSTRACT In 2008, our country successfully held the Olympic Games, where China won the most gold medals. After these Olympic Games, China has also become a world sports power. Our country’s table tennis, diving, skating and other sports are also in the leading ranks in the world. In this study, according to the current training status of Chinese football players, we used data mining algorithm to analyze the unawareness of acceleration and speed of Chinese athletes in the running process. In this study, these indicators were quantified and analyzed, which has successfully promoted the training level of Chinese football players.
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spelling ANALYSIS OF ATHLETES’ RUNNING ABILITY DATA MINING ALGORITHM BASED ON THE DYNAMIC CHARACTERISTICS OF FOOTBALL PLAYERSFootballData MiningRunningABSTRACT In 2008, our country successfully held the Olympic Games, where China won the most gold medals. After these Olympic Games, China has also become a world sports power. Our country’s table tennis, diving, skating and other sports are also in the leading ranks in the world. In this study, according to the current training status of Chinese football players, we used data mining algorithm to analyze the unawareness of acceleration and speed of Chinese athletes in the running process. In this study, these indicators were quantified and analyzed, which has successfully promoted the training level of Chinese football players.Sociedade Brasileira de Medicina do Exercício e do Esporte2021-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-86922021000800020Revista Brasileira de Medicina do Esporte v.27 n.spe2 2021reponame:Revista brasileira de medicina do esporte (Online)instname:Sociedade Brasileira de Medicina do Exercício e do Esporte (SBMEE)instacron:SBMEE10.1590/1517-8692202127022021_0042info:eu-repo/semantics/openAccessZhang,Longeng2021-06-09T00:00:00Zoai:scielo:S1517-86922021000800020Revistahttp://www.scielo.br/rbmeONGhttps://old.scielo.br/oai/scielo-oai.php||revista@medicinadoesporte.org.br1806-99401517-8692opendoar:2021-06-09T00:00Revista brasileira de medicina do esporte (Online) - Sociedade Brasileira de Medicina do Exercício e do Esporte (SBMEE)false
dc.title.none.fl_str_mv ANALYSIS OF ATHLETES’ RUNNING ABILITY DATA MINING ALGORITHM BASED ON THE DYNAMIC CHARACTERISTICS OF FOOTBALL PLAYERS
title ANALYSIS OF ATHLETES’ RUNNING ABILITY DATA MINING ALGORITHM BASED ON THE DYNAMIC CHARACTERISTICS OF FOOTBALL PLAYERS
spellingShingle ANALYSIS OF ATHLETES’ RUNNING ABILITY DATA MINING ALGORITHM BASED ON THE DYNAMIC CHARACTERISTICS OF FOOTBALL PLAYERS
Zhang,Long
Football
Data Mining
Running
title_short ANALYSIS OF ATHLETES’ RUNNING ABILITY DATA MINING ALGORITHM BASED ON THE DYNAMIC CHARACTERISTICS OF FOOTBALL PLAYERS
title_full ANALYSIS OF ATHLETES’ RUNNING ABILITY DATA MINING ALGORITHM BASED ON THE DYNAMIC CHARACTERISTICS OF FOOTBALL PLAYERS
title_fullStr ANALYSIS OF ATHLETES’ RUNNING ABILITY DATA MINING ALGORITHM BASED ON THE DYNAMIC CHARACTERISTICS OF FOOTBALL PLAYERS
title_full_unstemmed ANALYSIS OF ATHLETES’ RUNNING ABILITY DATA MINING ALGORITHM BASED ON THE DYNAMIC CHARACTERISTICS OF FOOTBALL PLAYERS
title_sort ANALYSIS OF ATHLETES’ RUNNING ABILITY DATA MINING ALGORITHM BASED ON THE DYNAMIC CHARACTERISTICS OF FOOTBALL PLAYERS
author Zhang,Long
author_facet Zhang,Long
author_role author
dc.contributor.author.fl_str_mv Zhang,Long
dc.subject.por.fl_str_mv Football
Data Mining
Running
topic Football
Data Mining
Running
description ABSTRACT In 2008, our country successfully held the Olympic Games, where China won the most gold medals. After these Olympic Games, China has also become a world sports power. Our country’s table tennis, diving, skating and other sports are also in the leading ranks in the world. In this study, according to the current training status of Chinese football players, we used data mining algorithm to analyze the unawareness of acceleration and speed of Chinese athletes in the running process. In this study, these indicators were quantified and analyzed, which has successfully promoted the training level of Chinese football players.
publishDate 2021
dc.date.none.fl_str_mv 2021-06-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-86922021000800020
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1517-8692202127022021_0042
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Medicina do Exercício e do Esporte
publisher.none.fl_str_mv Sociedade Brasileira de Medicina do Exercício e do Esporte
dc.source.none.fl_str_mv Revista Brasileira de Medicina do Esporte v.27 n.spe2 2021
reponame:Revista brasileira de medicina do esporte (Online)
instname:Sociedade Brasileira de Medicina do Exercício e do Esporte (SBMEE)
instacron:SBMEE
instname_str Sociedade Brasileira de Medicina do Exercício e do Esporte (SBMEE)
instacron_str SBMEE
institution SBMEE
reponame_str Revista brasileira de medicina do esporte (Online)
collection Revista brasileira de medicina do esporte (Online)
repository.name.fl_str_mv Revista brasileira de medicina do esporte (Online) - Sociedade Brasileira de Medicina do Exercício e do Esporte (SBMEE)
repository.mail.fl_str_mv ||revista@medicinadoesporte.org.br
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