Application of Data Mining Technology in Sports Data Analysis in Colleges and Universities

Yu, Kewei; Yuan, Ting; Yang, Li

doi:10.1109/tcs52929.2021.00073

Cited by 4 publications

(3 citation statements)

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“…This kind of large-scale sampling analysis can guarantee the impartiality of the final data information. [10][11]…”

Section: Network Platformmentioning

confidence: 99%

Research on Data Mining Technology and its application in College English Teaching

Hong¹

2023

AEHSSR

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Under the background of big data era, data mining technology, as a unique data processing technology, is applied and promoted in college English teaching. It can not only guide the English teaching management to develop steadily in the direction of intelligence and digitalization, but also can link the recessive and explicit factors together to improve the comprehensive effect of college students' English learning. According to the accumulated experience of college English teaching in recent years, the application research of data mining technology theory is becoming more and more in-depth, which fundamentally changes the traditional monotonous education management mode and speeds up the pace of college English education reform in the new era. Therefore, on the basis of understanding the current situation of college English education, this paper starts from the perspective of English teaching evaluation, deeply explores the data mining technology and its application direction, takes the college English teaching evaluation system as an example, verifies and analyzes the application value of data mining technology, in order to provide an effective basis for college education innovation in the new era.

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“…This kind of large-scale sampling analysis can guarantee the impartiality of the final data information. [10][11]…”

Section: Network Platformmentioning

confidence: 99%

Research on Data Mining Technology and its application in College English Teaching

Hong¹

2023

AEHSSR

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“…However, with the introduction of the EIM initiative in 2012, there has been a growing recognition of the need for scholars and practitioners with expertise in both fields. Since 2012, Chinese researchers have proposed various methods for integrating sports and medicine from the perspectives of health management [15], teaching philosophy [16], implementation mode [17], student development, and teacher evaluation [18]. The keyword "physical education" saw a significant increase in research between 2015 and 2020, indicating that more educational institutions were recognizing the importance of researching the optimal curriculum and pathways for physical education to implement EIM initiatives effectively.…”

Section: Introductionmentioning

confidence: 99%

Exploring the Challenges and Opportunities for Integrating Sports and Medicine in China

Chen

Frederick

et al. 2023

E3S Web Conf.

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Guided by the Health China 2030 Action, this research aims to investigate the current state of sports and medicine integration in China. The study utilizes a combination of literature review and questionnaire survey methods to identify key challenges facing sports and medicine integration in China. To address these challenges, the study examines the sports medicine integration in the United States, and the implementation of the “Exercise is Medicine” course in the University of Georgia’s Kinesiology curriculum. Through this examination, the study aims to provide a comprehensive understanding of the challenges and opportunities for integrating sports and medicine in China, with the understanding that sports can serve as a valuable form of medicine.

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“…Proses KDD bahkan sudah diterapkan untuk mendeteksi suasana hati dari data musik yang dihasilkan atau dimainkan oleh pemain musik [6]. Terdapat beberapa metode pada Data Mining yaitu, Asosiasi, Klasifikasi, Clustering, Regresi dan Prediksi [7]. Association rule adalah teknik data mining untuk menemukan pola hubungan antar kombinasi item.…”

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Analisis Faktor Risiko Kematian dengan Penyakit Komorbid COVID-19 menggunakan Algoritma ECLAT

Evadini

2022

jidt

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The death rate due to infection with the COVID-19 virus is increasing. Throughout 2020, COVID-19 cases continued to increase with a total of 2,995,758 positive cases with a total death toll of 204,987 in more than 213 infected countries. The increasing number of deaths is certainly a problem that needs special attention. One of the factors that can affect the severity of COVID-19 infection is a medical condition. These medical conditions are referred to as comorbid or comorbid conditions. This study aims to analyze the risk factors for death of COVID-19 patients based on comorbid diseases using the Data Mining technique. The algorithm used is ECLAT. The results of this study are age and comorbid diseases have an influence on the patient's condition when discharged from the hospital with a support value of 25% and a confidence value of 100%.

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Application of Data Mining Technology in Sports Data Analysis in Colleges and Universities

Cited by 4 publications

References 0 publications

Research on Data Mining Technology and its application in College English Teaching

Research on Data Mining Technology and its application in College English Teaching

Exploring the Challenges and Opportunities for Integrating Sports and Medicine in China

Analisis Faktor Risiko Kematian dengan Penyakit Komorbid COVID-19 menggunakan Algoritma ECLAT

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