산업융합연구 (Journal of Industrial Convergence)

  • 제19권4호
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  • Pages.17-21
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  • 2021
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  • 2635-8875(pISSN)
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  • 2672-0124(eISSN)
대한산업경영학회 (DAEHAN Society of Industrial Management)
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데이터 분석을 활용한 신인급 선수 육성 방안 연구

A Study on How to Nurture New Players using Data Analysis

  • 투고 : 2021.07.26
  • 심사 : 2021.08.20
  • 발행 : 2021.08.31
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초록

최근 스포츠 현장에서는 데이터를 활용하여 경기를 진행하고 시즌을 구상하며, 팀을 운영하는 시도가 많아지고 있다. 선수 육성을 하기 위해서 데이터를 활용하고 정확한 분석이 필요하다. 이에 본 연구에서는 데이터를 수집하고 전처리하여 선수들의 데이터 분석과 시각화를 통하여 신인급 선수들의 경기력을 분석하였다. 또한 신인급 선수를 육성하려면 최소한 어느 정도의 기회가 부여되어야 하는지 분석하였다. 아울러 스포츠 현장에서 데이터를 활용하여 선수 육성을 하기 위한 데이터 분석 방안을 제시하였다. 본 연구는 데이터를 활용하여 신인급 선수를 육성하는 데에 이바지할 것으로 기대된다.

Recently, in the field of sports, the use of data in conducting games, planning seasons, and operating teams has increased significantly. Also, in order to develop better players, it has become necessary to use data to accurately analyze their performance. Therefore, in this study, various data about rookie players was collected and pre-processed in order to analyze and visualize their performance. Additionally, an analysis was conducted to determine at least how many opportunities should be given to foster rookie players. Then, a data analysis method was presented for nurturing athletes by using data in the field of sports. It is expected that this study will contribute to fostering rookie players by utilizing data.

키워드

참고문헌

  1. T. H. Kim, S. W. Lim, J. G. Koh & J. H. Lee. (2020). A study on the win-loss prediction analysis of korean professional baseball by artificial intelligence model. The Korea Journal of BigData, 5(2), 77-84. DOI : 10.36498/kbigdt.2020.5.2.77
  2. S. M. Kim. (2020). The effect of daily average temperature on the batter's performance in baseball game : focused on big data analysis. Master's Thesis. The Graduate School of Hoseo University, Asan, Chungnam.
  3. Y. H. Oh, H. Kim, J. S. Yun & J. S. Lee. (2014). Using data mining techniques to predict win-loss in korean professional baseball games, Journal of the Korean Institute of Industrial Engineers. 40(1), 8-17. DOI : 10.7232/JKIIE.2014.40.1.008
  4. S. H. Lee & H. J. Choi. (2019). The analysis of pitching result according to the velocity and pitch of pitcher in that case of full-counting on Major League Baseball(MLB). The Korea Journal of Sports Science, 28(3), 973-981. DOI : 10.35159/kjss.2019.06.28.3.973
  5. Y. N. Jeon. (2010). A study of the athletic satisfaction and stress factors of high school baseball players in the case of different positions. Master's Thesis, The Graduate School of Kyungwon University, Seongnam, Gyeonggi.
  6. S. M. Kim & K. S. You. (2020). The effect of daily average humidity on pitcher's stats of a strike-out : focused on high rankers of winning, hold and save. Journal of Industrial Convergence, 18(1), 65-71. DOI : 10.22678/JIC.2020.18.1.065
  7. Rein, R. & Memmert, D. (2016). Big data and tactical analysis in elite soccer: future challenges and opportunities for sports science. SpringerPlus, 5(1), 1-13. DOI : 10.1186/s40064-016-3108-2
  8. K. W. Kim. (2020). A study on professional baseball spectators decision making process using model of goal-directed behavior and leisure constraint negotiation model. Ph. D. Dissertation, The Graduate School of Kyunghee University, Seoul.
  9. J. W. Lee & C. H. Lee. (2019). A study on the analysis of news data for the improvement of local flower festival. Journal of Industrial Convergence, 17(4), 33-38. DOI : 10.22678/JIC.2019.17.4.033
  10. Y. H. Oh. (2019). High-school baseball pitcher's pitching speed prediction using linear regression analysis method. Journal of Knowledge Information Technology and Systems, 14(4), 381-390. DOI : 10.34163/jkits.2019.14.4.007
  11. Y. H. Oh. (2020). High-school baseball pitcher's ERA(Earned Run Average) prediction using multi-variable linear regression analysis method. Journal of Knowledge Information Technology and Systems, 15(4), 497-506. DOI : 10.34163/jkits.2020.15.4.006
  12. J. Y. Lee & H. G. Kim. (2016). Suggestion of batter ability index in Korea baseball - focusing on the sabermetrics statistics WAR. The Korean Journal of Applied Statistics, 29(7), 1271-1281. DOI : 10.5351/KJAS.2016.29.7.1271
  13. J. T. Lee. (2017). Suggestion of batter ability index in Korea baseball - focusing on the sabermetrics statistics WAR. Journal of the Korean Data Information Science Society, 28(2), 317-326. DOI : 10.7465/jkdi.2017.28.2.317
  14. T. S. Choi & J. H. Yim. (2016). A study on the excellent operation of the "Korea Baseball Hall of Fame" based on baseball records. Journal of Korean Society of Archives and Records Management, 16(3), 157-177. DOI : 10.14404/JKSARM.2016.16.3.157
  15. J. T. Lee. (2015). Long term trends in the Korean professional baseball. Journal of the Korean Data & Information Science Society, 26(1), 1-10. DOI : 10.7465/jkdi.2015.26.1.1