Issues of Sports Big-data Utilization and Future Applicability

Hwang, Soo-Woong; Yang, Hyejoo; Hwang, Sunhwan

doi:10.24826/kscs.11.5.4

Cited by 2 publications

(3 citation statements)

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“…축구를 포함한 모든 스포츠는 본질적으로 불확실성(uncertainty)이라는 특수성을 갖기 때문에, 자료가 발생하는 상황적 맥락과 자료의 특성에 대한 충분한 이해가 필요하다 [1]. 최근 들어 컴퓨팅 기술의 비약적인 발전에 힘입어, 모든 영역에서 데이터가 폭발적으로 증가하는 빅데이터 시대가 도래하였다.…”

Section: 서론unclassified

Introducing ‘Rapidminer’, a Big Data Analytics Tool for Football Data Analysis

Jung¹,

Choi²

2023

APJCRI

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Recently, in the fields of health care, finance, and insurance, the importance of big data has already been recognized and various utilization measures such as big data opening systems are being proposed or operated. However, in the sports field, while recognizing the value and necessity of big data, it is still not active in direct execution for utilization. This is thought to be the primary cause of the difficulty in using the tool for big data analysis. Therefore, in this study, RapidMiner, a big data analysis tool, was introduced to help perform soccer data analysis more easily. In particular, by introducing examples of data handle and decision tree analysis among RapidMiner's various functions, it is expected that soccer-related researchers will help eliminate fear of big data analysis.

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Section: 서론unclassified

Introducing ‘Rapidminer’, a Big Data Analytics Tool for Football Data Analysis

Jung¹,

Choi²

2023

APJCRI

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“…김경식(2022)은 연도별로 강조된 생활체육 정책들이 사회에서도 인식화 되었을 것을 전제로, 생활체육과 관련된 사회현장에서의 인식을 알아보기 위한 연구를 미디어 빅데이터 분석을 통하여 수행하기도 했다 [3]. 타 체육 분야와 마찬가지로 생활체육 분야에서도 이론적 또는 실용적 차원의 진보를 위해는 이처럼 빅데이터를 활용하고 심층적으로 분석, 이해하는 절차가 필요할 것이다 [4].…”

Section: 서론unclassified

“…그럼에도 불구하고 2010년까지 우리나라에서 스포츠 분야에서 빅데이터를 활용한 논의는 활발히 이루어지지 못하였다. 한편, 최근에는 4차 산업혁명의 영향으로 빅데이터 활용에 대한 관심이 사회 전반적으로 증가하고 있고 그 기술도 비약적으로 발전하고 있으며, 스포츠에서의 활용도 지속해 증가하고 있다 [3][4][5][6]. 생활체육 분야에서도 다양한 방법으로 빅데이터를 활용한 연구가 이루어진다면, 미래의 생활체육 교육이나 국민들의 건강 증진, 생활체육에의 참여 및 복지에 인사이트를 제공하고 기여할 수 있을 것이다.…”

Section: 서론unclassified

Perception Analysis on German Physical Education Using Big Data: Focusing on Sports for All

Yoo¹

2023

APJCRI

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The purpose of this study is to find out the public's perception of 'German sports' by using big data, and to derive what can be an implication in the field of life sports. For this purpose, text mining was conducted for one year from February 2021 to February 2022 after searching for 'German Sports' on the portal. After the text was collected with big data analysis software, word frequency analysis, TF-IDF, N-gram, connection centrality analysis, and network visualization were performed. Words that can be said to be related to life sports include 'life,' 'school,' 'education,' 'region,' and 'facility' in the top 50 in the frequency analysis, and 'education,' in the connection centrality analysis. 'school,' 'life,' 'policy,' 'exercise,' 'support,' 'activity,' and 'region' were included in the top 50. However, there was no mention of specific methods such as 'sports club' in both frequency and centrality of connection. In the result of N-gram network analysis, 'life-sports' was included in 6th place. Keywords that are frequently mentioned or considered important should be considered as priorities when establishing sports for life policies. However, on the other hand, it will also be necessary to promote and draw attention to keywords that are important but not often mentioned.

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Issues of Sports Big-data Utilization and Future Applicability

Cited by 2 publications

References 0 publications

Introducing ‘Rapidminer’, a Big Data Analytics Tool for Football Data Analysis

Introducing ‘Rapidminer’, a Big Data Analytics Tool for Football Data Analysis

Perception Analysis on German Physical Education Using Big Data: Focusing on Sports for All

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