ABSTRACT
Song, W.; Xu, M.-M., and Dolma, Y.-C., 2019. Design and implementation of beach sports big data analysis system based on computer technology. In: Gong, D.; Zhu, H., and Liu, R. (eds.), Selected Topics in Coastal Research: Engineering, Industry, Economy, and Sustainable Development. Journal of Coastal Research, Special Issue No. 94, pp. 327–331. Coconut Creek (Florida), ISSN 0749-0208.
Applying computer technology and data mining technology in sports field plays an important role in improving the training effect and competition level of athletes. This paper focuses on the design and implementation of the beach volleyball big data analysis system based on computer technology. Using computer as the data collection and analysis platform, it adopts the sorting prediction algorithm and the Markov-based data mining algorithm to predict the cooperation success rate in the beach volleyball match and to search for key action transfer processes. The paper designs and implements a beach volleyball big data analysis system based on computer technology, and experimental results have verified the effectiveness of the data mining algorithm in beach volleyball matches. This study provides a scientific basis for coaches to formulate reasonable beach volleyball training programs and tactical decisions, which is of certain practical significance.
