發(fā)布時間：2021-12-28 22:36

　　Big data analysis is revolutionizing professional sports,influencing everything from game strategy and player conditioning to how fans interact with the sport.To help understand the underlying information,data visualization techniques are widely used to display data in a straightforward manner,while data analysis is used to extract hidden patterns in data.With the advent of sensor technology,basketball is now a sport with diversed data,at the same time possessing many qualities shared by other s... 

【文章來源】：上海交通大學(xué)上海市 211工程院校 985工程院校 教育部直屬院校

【文章頁數(shù)】：75 頁

【學(xué)位級別】：碩士

【文章目錄】：
abstract
Chapter 1 Introduction
Chapter 2 Related Work
    2.1 Quantitative-Driven Approach
    2.2 Graph-Based Approach
    2.3 Combination of Quantitative-Driven and Graph-Based Approach
    2.4 Sports Data Visualization Publication
Chapter 3 Design Rationales
Chapter 4 Data Description and Processing
    4.1 Play-By-Play Data
    4.2 Sports VU Data
    4.3 Box Score Data
    4.4 Data Pre-Processing
Chapter 5 Visualization System
    5.1 Season Level View
        5.1.1 Band View – The Graph
        5.1.2 Band View – The Selector
        5.1.3 Implementation Rules
    5.2 Game Level View
        5.2.1 Player Stream
        5.2.2 Game Clock
    5.3 Event Level View
        5.3.1 Court Chart
    5.4 Region Level View
        5.4.1 Map Chart
        5.4.2 Pie Chart
        5.4.3 Selectors
Chapter 6 Case Studies
    6.1 Dallas Mavericks
    6.2 Golden State Warriors
    6.3 Identify Talented Chinese Basketball Players
Chapter 7 User Feedback
Chapter 8 Discussion & Future Work
Chapter 9 Conclusion
References
Acknowledgements
Papers Published During Master’s
Projects



本文編號：3554862