The European Future Technologies Conference and Exhibition 2011 Solving Problems with Visual Analytics
The European Future Technologies Conference and Exhibition 2011 Solving Problems with Visual Analytics
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2011 年欧洲未来技术会议暨展览会 用视觉分析解决问题
DOI：
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发表时间：
2011
期刊：
影响因子：
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通讯作者：
G. Andrienko
中科院分区：
文献类型：
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作者：
J. Kohlhammer;D. Keim;M. Pohl;G. Santucci;G. Andrienko
可视化分析是一门新兴的研究学科，旨在通过适当地将智能自动数据分析的优势与人类用户的视觉感知和分析能力相结合，在各种应用中最大限度地利用巨大的信息负载。可视化分析的主要目标是将这些学科整合到可视化分析中，以获得成熟和一致的概念和理论，将单个学科的科学突破结合起来，对可视化分析产生潜在影响，反之亦然。在FET'11的一次会议上，最近完成的FET开放协调行动VisMaster CA的专题工作组领导人介绍了视觉分析研究路线图中确定的科学挑战，以及各个学科之间的联系和视觉分析的更广泛愿景。本文摘录了这一研究路线图，以激励FET在这一方向上的进一步研究。©选择和同行评审由FET 11会议组织者负责，由Elsevier B.V.出版。
Visual analytics is an emerging research discipline aiming at making the best possible use of huge information loads in a wide variety of applications by appropriately combining the strengths of intelligent automatic data analysis with the visual perception and analysis capabilities of the human user. The major goal of visual analytics is the integration of these disciplines into visual analytics to acquire well-established and agreed upon concepts and theories, combining scientific breakthroughs in a single discipline to have a potential impact on visual analytics and vice versa. In a session at FET’11, the leaders of the thematic working groups of the recently finalised FET Open coordination action VisMaster CA presented the scientific challenges that were identified in the visual analytics research roadmap, and the connection between the various disciplines and the broader vision of visual analytics. This article contains excerpts from this research roadmap to motivate further research in this direction within FET. © Selection and peer-review under responsibility of FET11 conference organizers and published by Elsevier B.V.