| Performance Histogram Curve: Abstractive Visualization and Analysis of NBA Games |
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| Biao Zhu,Wei Chen. Performance Histogram Curve: Abstractive Visualization and Analysis of NBA Games. International Journal of Software and Informatics, 2016,10(3):0 |
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| Abstract:NBA game is one of the world’s most exciting sports. Multiple datasets for a
NBA game are available, e.g., play-by-play data, shot-position data, twitter and videos.
Existing methods for visualizing game data commonly focus on the composition of
multi-variate information of a game process. In this paper, we introduce a new parametric
modeling approach, Performance Histogram Curve (PHC), that locally and adaptively
encodes the game progression with game-related features derived from the play-by-play
data. By transforming a PHC into the two-dimensional space with a two-phase projection
technique, we create a unique 2D line representation. The 2D representation and auxiliary
views abstracts the progress of a game and the performance of each team along the
timeline. Our integrated system favor browsing a single play, analyzing game performance,
and comparing multiple games. We conducted two case studies to demonstrate the
effectiveness of our approach. |
| keywords:projection temporal multi-dimension NBA |
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