Journal
JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY
Volume 31, Issue 4, Pages 787-804Publisher
SCIENCE PRESS
DOI: 10.1007/s11390-016-1663-1
Keywords
visual analytics; pipeline; visualization; model; knowledge
Funding
- National Basic Research 973 Program of China [2015CB352503]
- Major Program of National Natural Science Foundation of China [61232012]
- National Natural Science Foundation of China [61422211, u1536118, u1536119]
- Zhejiang Provincial Natural Science Foundation of China [LR13F020001]
- Fundamental Research Funds for the Central Universities of China
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Visual analytics has been widely studied in the past decade. One key to make visual analytics practical for both research and industrial applications is the appropriate definition and implementation of the visual analytics pipeline which provides effective abstractions for designing and implementing visual analytics systems. In this paper we review the previous work on visual analytics pipelines and individual modules from multiple perspectives: data, visualization, model and knowledge. In each module we discuss various representations and descriptions of pipelines inside the module, and compare the commonalities and the differences among them.
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