Demystifying Visual Analytics

被引:13
作者
Chabot, Christian
机构
关键词
Analytical databases; Business; Business intelligence; Cognition; Communities; Data mining; Data visualization; Data warehouses; Information visualization; Probability density function; Software; Visual analysis; Visual analytics; Visualization;
D O I
10.1109/MCG.2009.23
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Christian Chabot addresses the common misperceptions and stereotypes about visual analytics as the practice begins moving into widespread use. People typically associate visual analytics with four principles, all of which are false: the practice requires massive data, it's used to understand only complex problems, it requires the invention of new visual paradigms, and it focuses on finding hidden insights. Chabot explains why these principles are incorrect and why the visual analytics community would help the world at large by espousing its virtues. © 2009 IEEE.
引用
收藏
页码:84 / 87
页数:4
相关论文
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  • [1] Thomas JamesJ., 2005, ILLUMINATING PATH