Uneingeschränkter Zugang

Model development for the application of sports data visualization techniques in sports science research


Zitieren

Shuangming, W., Division, A. A., & University, X. S. (2017). Analysis on the construction of sports resource of large of database. Electronics World. Search in Google Scholar

Parmezan Bonidia, R., Duilio Brancher, J., & Marques Busto, R. (2018). Data mining in sports: a systematic review. IEEE Latin America Transactions, 16(1), 232-239. Search in Google Scholar

Hou, C. (2019). Analysis of sports data based on the data mining technology. Basic & clinical pharmacology & toxicology.(S3), 124. Search in Google Scholar

Huang, H., & Deng, R. (2020). Analysis technology of tennis sports match based on data mining and image feature retrieval. Complexity, 2020. Search in Google Scholar

Reid, M., Cormack, S. J., Duffield, R., Kovalchik, S., Crespo, M., & Pluim, B., et al. (2018). Improving the reporting of tennis injuries: the use of workload data as the denominator?. British Journal of Sports Medicine, bjsports-2017-098625. Search in Google Scholar

Eszter Füzéki, Tobias Engeroff, & Winfried Banzer. (2017). Health benefits of light-intensity physical activity: a systematic review of accelerometer data of the national health and nutrition examination survey (nhanes). Sports Medicine. Search in Google Scholar

Bai, Z., & Bai, X. (2021). Sports big data: management, analysis, applications, and challenges. Complexity, 2021. Search in Google Scholar

Song, D., & Peng, C. (2019). Relevance analysis of industrial structure of sports major employment based on big data analysis. Basic & clinical pharmacology & toxicology.(S6), 125. Search in Google Scholar

Feng, J. (2017). Research on sports achievement management and physical fitness analysis based on data mining. Boletin Tecnico/Technical Bulletin, 55(15), 227-234. Search in Google Scholar

Bai, Z., & Bai, X. (2022). Towards understanding the analysis, models, and future directions of sports social networks. Complexity, 2022. Search in Google Scholar

Yunyang, Liu, & YuHao. (2018). Personal informatics for sport: meaning, body, and social relations in amateur and elite athletes. Science of The Total Environment. Search in Google Scholar

Nielsen, Rasmus, Oestergaard, Bertelsen, Michael, & Lejbach, et al. (2018). Training load and structure-specific load: applications for sport injury causality and data analyses. British Journal of Sports Medicine. Search in Google Scholar

Liu, G. (2019). Application of data mining in the analysis of technique and tactics in sports competition. Basic & clinical pharmacology & toxicology.(S2), 125. Search in Google Scholar

Lu, B., Zhang, L., Xiao, H., Cao, Y., & Song, J. (2019). Construction of evaluation index system of sports industry based on big data analysis for intelligent decision-making. Basic & clinical pharmacology & toxicology.(S6), 125. Search in Google Scholar

Bjorneboe, J., & Wangensteen, A. (2023). Female athlete health: bridging the data gap. British journal of sports medicine(18), 57. Search in Google Scholar

Rees, H., Persson, M. C., Delahunt, E., Boreham, C., & Blake, C. (2021). The burden of injury in field hockey: a secondary analysis of prospective cohort data. Scandinavian journal of medicine & science in sports, 31(4), 884-893. Search in Google Scholar

Sletten, H. S., Eikevag, S. W., Silseth, H., Grondahl, H., & Steinert, M. (2021). Force orientation measurement: evaluating ski sport dynamics. IEEE sensors journal(21-24). Search in Google Scholar

Sweeting, A. J., Cormack, S. J., Stuart, M., & Aughey, R. J. (2017). When is a sprint a sprint? a review of the analysis of team-sport athlete activity profile. Frontiers in Physiology, 8, 432-. Search in Google Scholar

Cheng, Y., Lu, H., Qian, Y., Li, Q., He, B., & Guan, C. (2022). Monitoring simulation of athlete dynamic injury based on nosql database and localization algorithm. Mobile information systems(Pt.31), 2022. Search in Google Scholar

Yin, Z., & Cui, W. (2020). Outlier data mining model for sports data analysis. Journal of Intelligent and Fuzzy Systems, 40(2), 1-10. Search in Google Scholar

Pinheiro, P., & Luís Cavique. (2020). A bi-objective procedure to deliver actionable knowledge in sport services. Expert Systems(2). Search in Google Scholar

eISSN:
2444-8656
Sprache:
Englisch
Zeitrahmen der Veröffentlichung:
Volume Open
Fachgebiete der Zeitschrift:
Biologie, andere, Mathematik, Angewandte Mathematik, Allgemeines, Physik