Abstract
Big data technologies have been widely applied and accepted in a variety of areas e.g. industries, social networking, and finance industry. Big data technologies are also used in sports, especially competitive sports. However, the data mining and utilization are far from enough in terms of extent and extent and fine details. In this research, the author focused on the collection and application of big data in competitive sports and carried out statistical work and analysis after turning the features of opponent’s plays into mathematical variables. Multiple orders and multiple dimensions data are collected so as to provide adequate information support to our players to better meet challenges in the competition. In this article, badminton game, the fastest racket sport in the world, was taken as an example to demonstrate that it was of critical importance for players to be acquainted with and make predictions of opponents’ routine tactics.
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Zhao, G., Duan, Z., Zhang, C., Jin, Z., Osibo, B.K. (2021). Big Data from Collection to Use in Competitive Games—A Study Case on Badminton. In: Tian, Y., Ma, T., Khan, M.K. (eds) Big Data and Security. ICBDS 2020. Communications in Computer and Information Science, vol 1415. Springer, Singapore. https://doi.org/10.1007/978-981-16-3150-4_27
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DOI: https://doi.org/10.1007/978-981-16-3150-4_27
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