Bautiste, F. J. S., Brunner, D, Koch, J, Laborie, T, Yang, L & El-Assady, M. (2024). The big three: A practical framework for designing decision support systems in sports and an application for basketball. In U. Brefeld, J. Davis, J. Van Haaren & A. Zimmermann (Hrsg.), Machine Learning and Data Mining for Sports Analytics. MLSA 2023. Communications in Computer and Information Science (Communications in Computer and Information Science, 2035, S. 103-116). Cham: Springer.
APA-Zitierstil (7. Ausg.)Bautiste, F. J. S., Brunner, D., Koch, J., Laborie, T., Yang, L., & El-Assady, M. (2024). The big three: A practical framework for designing decision support systems in sports and an application for basketball. Machine Learning and Data Mining for Sports Analytics. MLSA 2023. Communications in Computer and Information Science, 103-116.
Chicago-Zitierstil (17. Ausg.)Bautiste, F. J. S., D. Brunner, J. Koch, T. Laborie, L. Yang, und M. El-Assady. "The Big Three: A Practical Framework for Designing Decision Support Systems in Sports and an Application for Basketball." Machine Learning and Data Mining for Sports Analytics. MLSA 2023. Communications in Computer and Information Science 2024: 103-116.
MLA-Zitierstil (9. Ausg.)Bautiste, F. J. S., et al. "The Big Three: A Practical Framework for Designing Decision Support Systems in Sports and an Application for Basketball." Machine Learning and Data Mining for Sports Analytics. MLSA 2023. Communications in Computer and Information Science, 2024, pp. 103-116.