A Survey of Visual Analytics Techniques and Applications: State-of-the-Art Research and Future Challenges

Guo-Dao Sun; Ying-Cai Wu; Rong-Hua Liang; Shi-Xia Liu

doi:10.1007/s11390-013-1383-8

Volume 28 Issue 5

September 2013

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Journal of Computer Science and Technology > 2013 > 28(5): 852-867. > DOI: 10.1007/s11390-013-1383-8 CSTR: 32374.14.s11390-013-1383-8

Guo-Dao Sun, Ying-Cai Wu, Rong-Hua Liang, Shi-Xia Liu. A Survey of Visual Analytics Techniques and Applications: State-of-the-Art Research and Future Challenges[J]. Journal of Computer Science and Technology, 2013, 28(5): 852-867. DOI: 10.1007/s11390-013-1383-8

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A Survey of Visual Analytics Techniques and Applications: State-of-the-Art Research and Future Challenges

Guo-Dao Sun^1,2 (孙国道) ,
Ying-Cai Wu^1, (巫英才) Member, IEEE,
Rong-Hua Liang² (梁荣华) Member, CCF, IEEE,
Shi-Xia Liu¹ (刘世霞) Member, CCF, Senior Member, IEEE

1 Internet Graphics Group, Microsoft Research Asia, Beijing 100080, China;
2 College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China

Funds: The work is partly supported by the National Natural Science Foundation of China under Grant No. 61070114, the Program for New Century Excellent Talents in University of China under Grant No. NCET-12-1087, and the Zhejiang Provincial Qianjiang Talents of China under Grant No. 2013R10054.

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Received Date: August 05, 2013
Revised Date: August 16, 2013
Published Date: September 04, 2013

Abstract

Abstract

Visual analytics employs interactive visualizations to integrate users' knowledge and inference capability into numerical/algorithmic data analysis processes. It is an active research field that has applications in many sectors, such as security, finance, and business. The growing popularity of visual analytics in recent years creates the need for a broad survey that reviews and assesses the recent developments in the field. This report reviews and classifies recent work into a set of application categories including space and time, multivariate, text, graph and network, and other applications. More importantly, this report presents analytics space, inspired by design space, which relates each application category to the key steps in visual analytics, including visual mapping, model-based analysis, and user interactions. We explore and discuss the analytics space to add the current understanding and better understand research trends in the field.
- visual analytics,
- information visualization,
- data analysis,
- user interaction

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References

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