会议信息

InfoVis 2017: IEEE Information Visualization Conference

请登录查看会议网址
免费注册：查看官网链接、跟踪截稿日期，并接收邮件提醒。
登录 注册

截稿日期:
2017-03-21
通知日期:
2017-06-06
会议日期:
2017-10-01
会议地点:
Phoenix, Arizona, USA
CORE: a*   浏览: 45256   关注: 3   参加: 0

征稿

InfoVis 2017 (IEEE Information Visualization Conference) is a CORE A* conference held in Phoenix, Arizona, USA on 2017-10-01. The paper submission deadline is 2017-03-21. Acceptance notifications are sent on 2017-06-06.

The IEEE Information Visualization conference (“InfoVis”) solicits research papers on a diverse set of topics related to information visualization. Broadly defined, information visualization is the design of visual data representations and interaction techniques that support human activities where the spatial layout of the visual representation is not a direct mapping of spatial relationships in the data. Papers may contribute novel visual encoding or interaction techniques, evaluations of InfoVis techniques and tools, models or theories related to InfoVis, systems that support visual data analysis, or applications of information visualization to domain-specific problems. None of these guidelines are in any way prescriptive; in fact, many successful papers combine two contribution types, and some of the very best papers often combine several. Please note that topics primarily involving spatial data (such as scalar, vector and tensor fields) might be a better match for the IEEE SciVis Conference at IEEE VIS. Similarly, topics that clearly focus on visual analytics, e.g., computational solutions facilitated by visual interfaces to support analysis, might be a better match for the IEEE VAST Conference, also at IEEE VIS. Papers chairs reserve the right to move papers between conferences based on its topic and perceived fit. Topics Research contributions are welcomed across a range of topics including, but not limited to: Information visualization techniques for graphs (networks), trees (hierarchies), and other relational data high-dimensional data and dimensionality reduction multivariate data heterogeneous data personal or social data (health, energy, finance, fitness, email, etc.) text and documents non-numeric data (categorical data, nominal data, etc.) non-expert audiences causality and uncertainty data time-series & temporal event data spatial data, particularly visualized with a new spatial mapping combinations of abstract and spatial data streaming or time-varying data very large datasets Interaction techniques for visualizations or for supporting the data analysis process, including recordkeeping, sensemaking, and storytelling collaboration support (both co-located and distributed) integration of visualization with other software tools post-WIMP interactions (pen, touch, speech, gestures, etc.) focus + context and overview + detail methods zooming, navigation, and distortion techniques brushing and linking coordinated multiple views data labeling, editing, and annotation Integration of visualizations into the context of use, including visual design and aesthetics minimal attention contexts (e.g. ambient displays, second screens) mobile and ubiquitous applications public environments Information visualization fundamentals and methodologies: novel algorithms and mathematics taxonomies and models research methodology, discussions, and frameworks cognition and perception Evaluation: task and requirements analysis metrics and benchmarks qualitative and quantitative evaluation laboratory and field studies novel evaluation methods usability studies and focus groups case studies (involving real users) replications of past studies that validate or contradict key findings Applied information visualization: reports of information visualization in domains where it has impact using information visualization for education and teaching design studies
最后更新 Dou Sun 在

最佳论文

相关会议

CCFCOREQUALIS简称全称截稿日期通知日期会议日期
aa*a1AAAIAAAI Conference on Artificial Intelligence2026-07-212026-11-302027-02-16
aa*a1SIGIRInternational Conference on Research and Development in Information Retrieval2026-01-152026-04-022026-07-20
aa*a1CVPRIEEE Conference on Computer Vision and Pattern Recognition2025-11-062026-02-202026-06-03
bba1ICRAInternational Conference on Robotics and Automation2025-09-152026-06-01
aa*a1IJCAIInternational Joint Conference on Artificial Intelligence2026-01-312026-08-15
aa*a1STOCACM Symposium on Theory of Computing2025-11-042026-02-012026-06-22
cba2ICCInternational Conference on Communications2025-10-132026-01-122026-05-24
caa2IJCNNInternational Joint Conference on Neural Networks2025-01-152025-03-312025-06-30
bba1ICASSPInternational Conference on Acoustics, Speech and Signal Processing2026-09-162027-01-132027-05-16
ba*a1PODSACM SIGMOD Conference on Principles of DB Systems2026-12-032027-03-012027-06-13

相关期刊

CCF全称影响因子出版商ISSN
Visualization in EngineeringSpringer2213-7459
Computing and Visualization in ScienceSpringer1432-9360
bIEEE Transactions on Multimedia9.7IEEE1520-9210
cKnowledge-Based Systems7.2Elsevier0950-7051
bSoftware & Systems Modeling3.2Springer1619-1366
aIEEE Transactions on Computers3.8IEEE0018-9340
cFuture Generation Computer Systems6.1Elsevier0167-739X
cNeurocomputing6.5Elsevier0925-2312
cPattern Recognition Letters3.9Elsevier0167-8655
bPattern Recognition7.6Elsevier0031-3203

评论 0

暂无评论。

请登录后发表评论

广告