Acceso abierto

Deep Learning Algorithms for Sports Data Analysis and Prediction in Sports Competitions

   | 10 abr 2024

Cite

Mamo, Y., Su, Y., & Andrew, D. P. (2022). The transformative impact of big data applications in sports marketing: Current and future directions. International Journal of Sports Marketing and Sponsorship, 23(3), 594-611. Search in Google Scholar

Maselli, A., Gordon, J., Eluchans, M., Lancia, G. L., Thiery, T., Moretti, R., ... & Pezzulo, G. (2023). Beyond simple laboratory studies: developing sophisticated models to study rich behavior. Physics of Life Reviews. Search in Google Scholar

Byon, K. K., Yim, B. H., & Zhang, J. J. (Eds.). (2022). Marketing Analysis in Sport Business: Global Perspectives. Taylor & Francis. Search in Google Scholar

Muniz, M., & Flamand, T. (2023). Sports analytics for balanced team-building decisions. Journal of the Operational Research Society, 74(8), 1892-1909. Search in Google Scholar

Anjum, S., & Fatima, A. (2023). Predictive Analytics For FIFA Player Prices: An ML Approach. Journal of Scientific Research and Technology, 204-212. Search in Google Scholar

El-Maghrabi, Y., & Sharif, M. (2022). Game Changers or Game Predictors? Big Data Analytics in Sports for Performance Enhancement and Fan Engagement. Journal of Contemporary Healthcare Analytics, 6(6), 19-39. Search in Google Scholar

Goes, F. R., Meerhoff, L. A., Bueno, M. J. O., Rodrigues, D. M., Moura, F. A., Brink, M. S., ... & Lemmink, K. A. P. M. (2021). Unlocking the potential of big data to support tactical performance analysis in professional soccer: A systematic review. European Journal of Sport Science, 21(4), 481-496. Search in Google Scholar

Huettnermann, M., Uhrich, S., & Koenigstorfer, J. (2022). Components and outcomes of fan engagement in team sports: The perspective of managers and fans. Journal of Global Sport Management, 7(4), 447-478. Search in Google Scholar

Mahajan, K., Pal, A., & Desai, A. (2023). Revolutionizing Fan Engagement: Adopting Trends and Technologies in The Vibrant Indian Sports Landscape. International Journal of Management Thinking, 1(2), 122-141. Search in Google Scholar

Li, X., & Ullah, R. (2023). An image classification algorithm for football players’ activities using deep neural network. Soft Computing, 1-21. Search in Google Scholar

Hao, Q., Choi, W. J., & Meng, J. (2023). A data mining-based analysis of cognitive intervention for college students’ sports health using Apriori algorithm. Soft Computing, 27(21), 16353-16371. Search in Google Scholar

Thabtah, F., Zhang, L., & Abdelhamid, N. (2019). NBA game result prediction using feature analysis and machine learning. Annals of Data Science, 6(1), 103-116. Search in Google Scholar

Li, H. (2020). Analysis of the construction of sports match prediction model using neural network. Soft Computing, 24(11), 8343-8353. Search in Google Scholar

Miah, J., Mamun, M., Rahman, M. M., Mahmud, M. I., Ahmad, S., & Nasir, M. H. B. (2022, December). Mhfit: Mobile health data for predicting athletics fitness using machine learning models. In 2022 2nd International seminar on machine learning, Optimization, and Data Science (ISMODE) (pp. 584-589). IEEE. Search in Google Scholar

Al-Asadi, M. A., & Tasdemır, S. (2022). Predict the value of football players using FIFA video game data and machine learning techniques. IEEE Access, 10, 22631-22645. Search in Google Scholar

Meng, L., & Qiao, E. (2023). Analysis and design of dual-feature fusion neural network for sports injury estimation model. Neural Computing and Applications, 35(20), 14627-14639. Search in Google Scholar

Webster, K. E., McPherson, A. L., Hewett, T. E., & Feller, J. A. (2019). Factors associated with a return to preinjury level of sport performance after anterior cruciate ligament reconstruction surgery. The American journal of sports medicine, 47(11), 2557-2562. Search in Google Scholar

Baboota, R., & Kaur, H. (2019). Predictive analysis and modelling football results using machine learning approach for English Premier League. International Journal of Forecasting, 35(2), 741-755. Search in Google Scholar

Spitz, J., Wagemans, J., Memmert, D., Williams, A. M., & Helsen, W. F. (2021). Video assistant referees (VAR): The impact of technology on decision making in association football referees. Journal of Sports Sciences, 39(2), 147-153. Search in Google Scholar

https://www.kaggle.com/datasets/nikhilsharma1212/ipl-complete-player-performance-2008-2022 Search in Google Scholar

Li, H. (2020). Analysis of the construction of sports match prediction model using neural network. Soft Computing, 24(11), 8343-8353. Search in Google Scholar

eISSN:
2444-8656
Idioma:
Inglés
Calendario de la edición:
Volume Open
Temas de la revista:
Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics