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How to Deal with Sports Activity Datasets for Data Mining and Analysis: Some Tips and Future Challenges

Author

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  • Samo Rauter

    (Faculty of Sport, University of Ljubljana, Ljubljana, Slovenia)

  • Iztok Fister

    (Faculty of Electrical Engineering and Computer Science, University of Maribor, Maribor, Slovenia)

  • Iztok Fister Jr.

    (Faculty of Electrical Engineering and Computer Science, University of Maribor, Maribor, Slovenia)

Abstract

The aim of this paper is to briefly present the fundamentals of sports training to computational intelligence community and present a short description on recently released sport activity datasets for data mining and data analysis. Training plan for professional mountainbiker is presented in details. Moreover, tools for parsing sport activities files are discussed. Finally, tips and open challenges are exposed that refer to the data analysis and data mining of the proposed sports activity datasets.

Suggested Citation

  • Samo Rauter & Iztok Fister & Iztok Fister Jr., 2015. "How to Deal with Sports Activity Datasets for Data Mining and Analysis: Some Tips and Future Challenges," International Journal of Advanced Pervasive and Ubiquitous Computing (IJAPUC), IGI Global, vol. 7(2), pages 27-37, April.
    • Handle: RePEc:igg:japuc0:v:7:y:2015:i:2:p:27-37
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    Cited by:

    1. Devansh Patel & Dhwanil Shah & Manan Shah, 2020. "The Intertwine of Brain and Body: A Quantitative Analysis on How Big Data Influences the System of Sports," Annals of Data Science, Springer, vol. 7(1), pages 1-16, March.

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