NBA Game Analysis based on Big Data
DOI:
https://doi.org/10.54097/hset.v24i.3885Keywords:
NBA; Data Analysis; Big Data.Abstract
As an important sport, basketball has a history of more than 100 years. With the rapid development of basketball, data analysis technology has also been widely used. In basketball games, the data that people see is a set of systematic data formed by professional workers through division of labor and close cooperation, classification and statistical analysis. In addition, based on information on the field, spectators get a general idea of how athletes are performing during the game and predict where the data will go. Based on the above background, this paper discusses the significance and application of NBA game data analysis methods, and shows that in NBA games, data analysis can effectively promote the development of basketball.
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References
Bhandari I S, Colet E, Parker J, et al. (1997). Advanced Scout: Data Mining and Knowledge Discovery in NBA Data[J]. Data Mining & Knowledge Discovery.1(1):121-125.
Groothuis P A, Hill J R. (2009). Correcting for Survival Effects in Cross Section Wage Equations Using NBA Data. Working Papers.8(3):223-243.
Wu W. (2020). Injury Analysis Based on Machine Learning in NBA Data. Data Analysis and Information Processing.
Perin C, Vuillemot R, Stolper C D, et al. (2018). State of the art of sports data visualization. Computer Graphics Forum.37(3): 663-686.
Chen P, Zhu W B, Yin Y, et al. (2007). Analysis on Characteristics NBA Player's Age, Years for Playing Basketball and Body Physique during the 2006-2007 Season. China Sport Science and Technology.
Yuan, Wang, Shuhua, et al. (2015). How Do Sports Organizations Use Social Media to Build Relationships? A Content Analysis of NBA Clubs' Twitter Use. Ijsc.
Azuma S D, Malee K M, Kavanagh J A, et al. (1991). Confirmatory factor analysis with preterm NBAS data: A comparison of four data reduction models[J]. Infant Behavior and Development.14(2):209-225.
Inbakaran C, Lagura E. (2013). Journey to work patterns in regional Victoria: analysis of census data: 1996, 2001, 2006 and 2011.
Yang Z X, Yang J, Bai J, et al. (2016). Research on the Data Analysis of NBA Based on Big Data Technologies. China Sport Science and Technology.
Xu M, Gao J. (2018). Analysis of NBA Team Strength Using Players' Race Data Based on Clustering Method. 2018.
Chang C W. (2018). Using Objective Data Analysis to Construct and Evaluate NBA Players' Value Model. Preprints.
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