최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기한국융합학회논문지 = Journal of the Korea Convergence Society, v.12 no.8, 2021년, pp.279 - 286
김지응 (상명대학교 스포츠산업학과) , 박종철 (부경대학교 해양스포츠학과) , 김태규 (부경대학교 해양스포츠학과) , 이희화 (상명대학교 스포츠산업학과) , 안지환 (성균관대학교 스포츠과학과)
The purpose of this study is to compare the predictive power of the Bagging and Boosting algorithm of ensemble method based on the motion information that occurs in woman handball matches and to analyze the availability of motion information. To this end, this study analyzed the predictive power of ...
K. B. Goo & S. B. Kim. (2018). Issues of Sports Circle in the Era of 4th Industrial Revolution. The Korean Society for the Philosophy of Sport, Dance & Martial Arts, 26(2), 7-17.
W. J. Kim, Y. S. Choi & D. H. Yoo. (2018). Development of Win-Loss Prediction Models and Strategies for Improving Winning Rate of the Korean Professional Baseball Teams Using Data Mining Techniques. Korean Journal of Sport Management, 23(3), 88-104. DOI : 10.31308/KSSM.23.3.6
J. H. Cho. (2012). Utilization and Prospect of Sport Big Data. The Korean Journal of Measurement and Evaluation in Physical Education and Sports Science, 14(3), 1-11. DOI : 10.21797/ksme.2012.14.3.001
J. W. Lim & H. J. Kim. (2008). Setting Sprint Zone for performance analysis in Field-Hockey: Using Global Positioning System (GPS). The Korean Journal of Measurement and Evaluation in Physical Education and Sports Science, 10(1), 69-79. DOI : 10.21797/ksme.2008.10.1.006
I. S. Yeo & C. H. Park. (1998). Ethics of competition and victory in sport: The Korean Society for the Philosophy of Sport, Dance & Martial Arts, 6(1), 67-88. UCI(KEPA) : I410-ECN-0101-2018-069-001973573
D. Jennings, S. Cormack, A. J. Coutts, L. Boyd & R. J. Aughey. (2010). The validity and reliability of GPS units for measuring distance in team sport specific running patterns. International journal of sports physiology and performance, 5(3), 328-341. DOI:10.1123/ijspp.5.3.328
D. W. Wundersitz, P. B. Gastin, S. Robertson, P. C. Davey & K. J. Netto. (2015). Validation of a trunk-mounted accelerometer to measure peak impacts during team sport movements. International journal of sports medicine, 36(09), 742-746. DOI: 10.1055/s-0035-1547265
S. K. Min. (2014). Sports Science: On-site support using the Global Positioning System (GPS) in field hockey competitions compared to the Asian Games. Sports science, 128, 48-53.
Y. H. Jung, S. H. Eo, H. S. Moon & H. J. Cho. (2010). A Study for Improving the Performance of Data Mining Using Ensemble Techniques. Communications for Statistical Applications and Methods, 17(4), 561-S74. UCI : G704-000420.2010.17.4.006
W. H. Lee. (2006). development of soccer ranking prediction model using neural network analysis. Unpublished doctoral dissertation, Myongji University, Seoul.
Y. C. Kim. (2018). E-sports game prediction using machine learning : focusing on League of Legends. Unpublished master's thesis, Chung-Ang University, Seoul.
N. Razali, A. Mustapha, F. A. Yatim & R. Ab Aziz. (2017, August). Predicting football matches results using Bayesian networks for English Premier League (EPL). In Iop conference series: Materials science and engineering, 226(1), p.012099. DOI: 10.1088/1757-899X/226/1/012099
W. Cai, D. Yu, Z. Wu, X. Du & T. Zhou. (2019). A hybrid ensemble learning framework for basketball outcomes prediction. Physical A: Statistical Mechanics and its Applications, 528, 121461. DOI: 10.1016/j.physa.2019.121461
A. Groll, C. Ley, G. Schauberger & H. Van Eetvelde. (2019). A hybrid random forest to predict soccer matches in international tournaments. Journal of Quantitative Analysis in Sports, 15(4), 271-287. DOI: 10.1515/jqas-2018-0060
D. R. Jang & M. J. Park. (2020). A Study on the Art Price Prediction Model Using the Random Forests. Journal of Applied Reliability, 20(1), 34-42. DOI : 10.33162/JAR.2020.3.20.1.34
J. C. W. Chan & D. Paelinckx. (2008). Evaluation of Random Forest and Adaboost tree-based ensemble classification and spectral band selection for ecotope mapping using airborne hyperspectral imagery. Remote Sensing of Environment, 112(6), 2999-3011. DOI: 10.1016/j.rse.2008.02.011
H. H. Lee & J. E. Kim. (2019). Application of Electronic Performance Tracking System (EPTS) for Dance Evaluation of Dancers and Prediction Model of Injury Prevention. The Korean Journal of Sport, 17(4), 1597-1607.
S. J. Kang. (2019). Preliminary Study on the Prediction of Human Kinematic Motion Analysis Using Artificial Intelligence. Korean Society for Precision Engineering, 19-19. DOI:10.1007/978-981-13-9129-3_1
H. Y. Jung, Y. J. Na, C. W. Wang & S. D. Min. (2014). Multi-objective system using EMG and accelerometer. Journal of Electrical Engineering & Technology. Summer Academic Conference, 1,502 - 1,503. UCI(KEPA) : I410-ECN-0101-2016-560-001853938
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
출판사/학술단체 등이 한시적으로 특별한 프로모션 또는 일정기간 경과 후 접근을 허용하여, 출판사/학술단체 등의 사이트에서 이용 가능한 논문
※ AI-Helper는 부적절한 답변을 할 수 있습니다.