期刊論文
| 學年 | 113 |
|---|---|
| 學期 | 2 |
| 出版（發表）日期 | 2025-04-01 |
| 作品名稱 | Visualizing NBA information via storylines |
| 作品名稱（其他語言） | |
| 著者 | Jie Lin;Chuan-Kai Yang; Chiun-How Kao |
| 單位 | |
| 出版者 | |
| 著錄名稱、卷期、頁數 | Computers & Graphics 127 ，頁 104169 |
| 摘要 | Sports visualization analysis is an important area within visualization studies. However, there is a lack of tools tailored for NBA writers among existing systems. Creating these tools would improve understanding of the game’s complex dynamics, particularly player interactions. We propose a visualization system to improve understanding of complex NBA game data. Featuring multiple modules, it allows users to analyze the game from various perspectives. This paper highlights the system’s use of storylines to examine player interactions, enhancing the extraction of valuable insights. The study shows that our design enhances personalized in-game data analysis, improving the understanding and aiding in identifying critical moments. |
| 關鍵字 | |
| 語言 | zh_TW |
| ISSN | |
| 期刊性質 | 國外 |
| 收錄於 | SCI |
| 產學合作 | |
| 通訊作者 | |
| 審稿制度 | 是 |
| 國別 | TWN |
| 公開徵稿 | |
| 出版型式 | ,電子版,紙本 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/126933 ) |