A Survey of Visual Analytic Pipelines
A Survey of Visual Analytic Pipelines作者机构：State Key Laboratory of Computer Aided Design and Computer Graphics Zhejiang University Hangzhou 310058 China Innovation Joint Research Center for Cyber-Physical-Society System Zhejiang University Hangzhou 310058 China
出 版 物：《Journal of Computer Science & Technology》 (计算机科学技术学报（英文版）)
年 卷 期：2016年第31卷第4期
页 面：787-804页
核心收录：
学科分类：0820[工学-石油与天然气工程] 080706[工学-化工过程机械] 12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 0807[工学-动力工程及工程热物理] 082003[工学-油气储运工程]
基 金：The work was supported by the National Basic Research 973 Program of China under Grant No. 2015CB352503 the Major Program of National Natural Science Foundation of China under Grant No. 61232012 the National Natural Science Foundation of China under Grant Nos. 61422211 u1536118 and u1536119 Zhejiang Provincial Natural Science Foundation of China under Grant No. LR13F020001 and Fundamental Research Funds for the Central Universities of China
主 题：visual analytics pipeline visualization model knowledge
摘 要：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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