| 题名: | visualizing time-series data in processlines: design and evaluation of a process enterprise application |
| 作者: | Luo, XiongFei(罗雄飞)
; Tian Feng
; Liu Wei
; Teng Dongxing
; Dai Guozhong
; Wang Hongan
|
| 会议文集: | Proceedings of the ACM Symposium on Applied Computing
|
| 会议名称: | 25th Annual ACM Symposium on Applied Computing, SAC 2010
|
| 会议日期: | March 22,
|
| 出版日期: | 2010
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| 会议地点: | Sierre, Switzerland
|
| 关键词: | Beverages
; Design
; Industry
; Production engineering
; Visualization
|
| 出版地: | United States
|
| ISBN: | 9781610000000
|
| 部门归属: | (1) Graduate University, Chinese Academy of Sciences, Beijing, China; (2) Intelligence Engineering Lab., Institute of Software, Chinese Academy of Sciences, Beijing, China; (3) State Key Lab. of Computer Science, P.O.Box 8718, Beijing, China
|
| 主办者: | ACM Special Interest Group on Applied Computing (SIGAPP); Hes.so; icare; CUSST
|
| 英文摘要: | In modern process industry, it is often difficult to analyze a manufacture process due to its numerous time-series data. Analysts wish to not only interpret the evolution of data over time in a working procedure, but also examine the changes in the whole production process through time. To meet such analytic requirements, we have developed ProcessLines, an interactive visualization tool for a large amount of time-series data in process industry. The data are displayed in a fisheye timeline. ProcessLines provides good overviews for the whole production process and details for the focused working procedure. A user study using beer industry production data has shown that the tool is effective. © 2010 ACM. |
| 内容类型: | 会议论文
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| URI标识: | http://ir.iscas.ac.cn/handle/311060/8964
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| Appears in Collections: | 人机交互技术与智能信息处理实验室_会议论文
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| p1165-luo.pdf（550KB） | -- | -- | 限制开放 | -- | 联系获取全文 |
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| Recommended Citation: | |
Luo Xiongfei,Tian Feng,Liu Wei,et al. visualizing time-series data in processlines: design and evaluation of a process enterprise application[C]. 见:25th Annual ACM Symposium on Applied Computing, SAC 2010. Sierre, Switzerland. March 22,.
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