An information-theoretic view of visual analytics

被引：26

作者：

Chen, Chaomei ^{[1
]}

机构：

[1] Drexel Univ, Philadelphia, PA 19104 USA

来源：

IEEE COMPUTER GRAPHICS AND APPLICATIONS | 2008年 / 28卷 / 01期

基金：

美国国家科学基金会;

关键词：

Decision making - Economic and social effects - Information theory - Visualization;

D O I：

10.1109/MCG.2008.2

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Visual analytics is an emerging discipline that helps connect dots. It facilitates analytical reasoning and decision making through integrated and highly interactive visualization of complex and dynamic data and situations. Solving mysteries is only part of the game. Visual analytics must augment analyst and decision-maker capabilities to assimilate complex situations and reach informed decisions. Information theory offers a framework for keeping focused on the right questions. © 2008 IEEE.

引用

页码：18 / 23

页数：6

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