Data mining algorithm application in influencing factors analysis of college students' physical health

The core of large data is the organic combination of application, algorithm, data and platform, In this paper, the authors analyze the data mining algorithm application in influencing factors analysis of college students' physical health. Physical health of college students is facing a severe s...

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Veröffentlicht in:	RISTI : Revista Ibérica de Sistemas e Tecnologias de Informação 2016-12 (E12), p.189-201
Hauptverfasser:	Zhirong, Lai, Sheng, Zhong, Yuefeng, Wang, Ying, Zhang, Jie, Fu, Chunjing, Tu
Format:	Artikel
Sprache:	eng ; por
Schlagworte:	Academic libraries Aerobics Algorithms Big Data College students Community colleges Data analysis Data mining Exercise Information systems Information technology Load Medical care Physical education Physical fitness Physiology Quality Quality management Questionnaires Teaching University students User interface
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Zusammenfassung:	The core of large data is the organic combination of application, algorithm, data and platform, In this paper, the authors analyze the data mining algorithm application in influencing factors analysis of college students' physical health. Physical health of college students is facing a severe situation. Through the study on the influencing factors of College Students' physical health, the result shows that College students physical health factors are mainly as Genetic and life behavior factors, Social environmental factors, Physical quality factor, Medical service level factor, Physiological function factor, Sport ability factor and Psychological quality factor, cumulative contribution rate as 87.868%. Keywords: Data mining, Hadoop algorithm, Physical health, College student 1
ISSN:	1646-9895