Date of Award
1-1-2022
Degree Type
Thesis
Degree Name
Master of Science in Statistics
Department
Computer Science and Statistics
First Advisor
Guangyu Zhu
Abstract
Data analysis provides important insights to inform decision-making by discovering patterns and trends in datasets. With the increasing collection and availability of large datasets, data science has the potential to revolutionize decision-making in many fields. Basketball is one of the most popular sports in the world,and the application of data science in basketball has attracted a large amount of attention in recent years. Our research explores the dissimilarity and similarity of game-play characteristics through recent years within the National Basketball Association. We focused on the data analysis of basketball teams and player performance, analysis, and prediction of competition results. We used multidimensional scaling and autoencoder to examine the dissimilarity and similarity of team performance. The research will show that data analysis can enable teams to increase their understanding of past performance and factors that drove success. Teams can also use analysis to make predictions of future success and to inform decisions that lead to success.
Recommended Citation
Zheng, Zian, "CHARACTERIZING GAME-PLAY STYLES IN NATIONAL BASKETBALL ASSOCIATION" (2022). Open Access Master's Theses. Paper 2294.
https://digitalcommons.uri.edu/theses/2294
Terms of Use
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