| 信息可视化和可视分析：挑战与机遇——北戴河信息可视化战略研讨会总结报告 |
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| 引用本文： | 戴国忠,陈为,洪文学,刘世霞,屈华民,袁晓如,张加万,张康.信息可视化和可视分析：挑战与机遇——北戴河信息可视化战略研讨会总结报告[J].中国科学:信息科学,2013(1):178-184. |
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| 作者姓名： | 戴国忠 陈为 洪文学 刘世霞 屈华民 袁晓如 张加万 张康 |
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| 作者单位： | [1]中国科学院软件研究所,北京100190 [2]浙江大学计算机辅助设计与图形学国家重点实验室,杭州310058 [3]燕山大学电气工程学院,秦皇岛066004 [4]微软亚洲研究院,北京100080 [5]香港科技大学计算机科学与工程系,香港 [6]北京大学信息科学技术学院,北京100871 [7]天津大学软件学院,天津300072 |
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| 摘 要： | 由天津大学软件学院发起并召集，东北大学秦皇岛分校和燕山大学承办的信息可视化战略研讨会于2012年6月9-10日在北戴河成功举行．本文总结了此次会议的讨论内容和达成的共识，对当前信息可视化和可视分析领域的挑战和国际上这方面的研究方向做了大致的分析，并对今后信息可视化和可视分析的大方向提出一些建议，以及对具体行动提出一系列倡议．
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| 关 键 词： | 信息可视化 可视分析 数据可视化 人机交互 大数据 |
Information visualization and visual analytics： challenges and opportunities |
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| DAI GuoZhong,CHEN Wei,HONG WenXue,LIU ShiXia,QU HuaMin,YUAN XiaoRu,ZHANG JiaWan,＆ ZHANG Kang.Information visualization and visual analytics： challenges and opportunities[J].Scientia Sinica Techologica,2013(1):178-184. |
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| Authors: | DAI GuoZhong CHEN Wei HONG WenXue LIU ShiXia QU HuaMin YUAN XiaoRu ZHANG JiaWan ＆ ZHANG Kang |
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| Institution: | 1 Institute of Software, Chinese Academy of Sciences, Beijing 100190, China; 2 State Key Lab of CAD CG, Zhejiang University, Hangzhou 310058, China; 3 Institute of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China; 4 Microsoft Research Asia, Beijing 100080, China; 5 Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hongkong, China; 6 School of Electronics Engineering, Peking University, Beijing 100871, China; 7 School of Software Engineering, Tianjin University, Tianjin 300072, China |
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| Abstract: | Sponsored and organized by School of Software Engineering, Tianjin University, and co-organized by Yanshan University and Northeast University at Qinhuangdao, 2012 Workshop on Information Visualization was successfully held in Beidaihe, China, 9-10 June 2012. This article reports and summarizes the discussion details, including the challenges and current major research directions in information visualization and visual analytics. The article also sets the future directions and proposes various action items for promoting and advancing the cutting-edge research in information visualization and visual analytics. |
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| Keywords: | information visualization visual analytics data visualization human-computer interaction big data |
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