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A Survey of Visual Analytic Pipelines

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Abstract

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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Authors and Affiliations

  1. State Key Laboratory of Computer Aided Design and Computer Graphics, Zhejiang University, Hangzhou, 310058, China

    Xu-Meng Wang, Tian-Ye Zhang, Yu-Xin Ma, Jing Xia & Wei Chen

  2. Innovation Joint Research Center for Cyber-Physical-Society System, Zhejiang University, Hangzhou, 310058, China

    Xu-Meng Wang, Tian-Ye Zhang, Yu-Xin Ma, Jing Xia & Wei Chen

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Wang, XM., Zhang, TY., Ma, YX. et al. A Survey of Visual Analytic Pipelines. J. Comput. Sci. Technol. 31, 787–804 (2016). https://doi.org/10.1007/s11390-016-1663-1

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