Frontier of Information Visualization and Visual Analytics in 2016

Lu Min; Chen Siming; Lai Chufan; Lin Lijing; Yuan Xiaoru

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Frontier of Information Visualization and Visual Analytics in 2016

机译：2016年信息可视化和可视化分析的前沿

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摘要

Visualization has evolved into a flourishing research field in recent 30 years. There are substantial visualization methodologies and applications published every year. Most of literature surveys focus on reviewing the state-of-art techniques in a certain direction in-depth. In this work, we conduct a cross-section survey by taking all the latest literatures as a whole, to obtain insights into the ecology of Information Visualization and Visual Analytics field in 2016. Center around 70-related publications in the IEEE VIS, we perform a mixed quantitative and qualitative analysis to report the current research progress, including statistical overview as well as detailed research topics.

机译：可视化已发展成为近30年蓬勃发展的研究领域。每年都会发布大量的可视化方法和应用程序。大多数文献调查都集中于在特定方向上深入审查最新技术。在这项工作中，我们将所有最新文献作为一个整体进行横断面调查，以获取对2016年信息可视化和可视化分析领域生态学的见解。围绕IEEE VIS的70篇相关出版物，我们执行进行定量和定性混合分析以报告当前的研究进展，包括统计概述以及详细的研究主题。

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来源
《Journal of visualization》 |2017年第4期|667-686|共20页
作者
Lu Min; Chen Siming; Lai Chufan; Lin Lijing; Yuan Xiaoru;
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作者单位

Key Laboratory of Machine Perception (Ministry of Education), and School of EECS, Peking University, Beijing, China;

Key Laboratory of Machine Perception (Ministry of Education), and School of EECS, Peking University, Beijing, China;

Key Laboratory of Machine Perception (Ministry of Education), and School of EECS, Peking University, Beijing, China;

Key Laboratory of Machine Perception (Ministry of Education), and School of EECS, Peking University, Beijing, China;

Key Laboratory of Machine Perception (Ministry of Education), and School of EECS, Peking University, Beijing, China;

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原文格式 PDF
正文语种 eng
中图分类
关键词
Information Visualization; Survey; Visual Analytics;

机译：信息可视化;调查;可视化分析;

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1. Fluency of visualizations: linking spatiotemporal visualizations to improve cybersecurity visual analytics [J] . Zhenyu Cheryl Qian, Yingjie Victor Chen Security Informatics . 2014,第1期

机译：可视化的流利性：链接时空可视化以改善网络安全的可视化分析
2. Visual Analytics: How Much Visualization and How Much Analytics? [J] . Daniel A. Keim, Florian Mansmann, Jim Thomas SIGKDD explorations . 2009,第2期

机译：可视化分析：多少可视化和多少分析？
3. Visualizing theme park visitors' emotions using social media analytics and geospatial analytics [J] . Park Seunghyun Brian, Kim Jinwon, Lee Yong Kyu, Tourism management . 2020,第Octa期

机译：使用社交媒体分析和地理空间分析可视化主题公园的情感
4. Biofeedback EEG data integration and visualization analytics for endurance exercise practices: Data integration and visualization analytics of biofeedback EEG [C] . Monika Nawrocka, Marcin Łukowski IEEE International Conference on Big Data . 2017

机译：Biofeedback EEG数据集成和可视化分析，用于耐力锻炼实践：Biofeedback EEG的数据集成和可视化分析
5. The hyper-radial visualization (HRV) method for visualization of the hyperspace pareto frontier for multi-objective optimization problems. [D] . Chiu, Po-Wen. 2009

机译：用于多目标优化问题的超空间Pareto边界可视化的超径向可视化（HRV）方法。
6. SeeDB: Efficient Data-Driven Visualization Recommendations to Support Visual Analytics [O] . Manasi Vartak, Sajjadur Rahman, Samuel Madden, -1

机译：SeeDB：支持可视化分析的高效数据驱动可视化建议
7. Expanding the Frontiers of Visual Analytics and Visualization [O] . Dill J., Earnshaw Rae A., Kasik D.J., 2012

机译：扩展可视化分析和可视化领域

Frontier of Information Visualization and Visual Analytics in 2016

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