This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
An Information-Theoretic View of Visual Analytics
January/February 2008 (vol. 28 no. 1)
pp. 18-23
Chaomei Chen, Drexel University
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.

1. T. Anderson, D. Schum, and W. Twining, Analysis of Evidence, 2nd ed., Cambridge Univ. Press, 2005.
2. M. Gladwell, "Open Secrets: Enron, Intelligence, and the Perils of Too Much Information," New Yorker,8 Jan. 2007, http://newyorker.com/reporting/2007/01/08 070108fa_fact_gladwell.
3. J.J. Thomas and K.A. Cook, Illuminating the Path: The Research and Development Agenda for Visual Analytics, National Visualization and Analytics Center, 2005.
4. S. Kullback and R.A. Leibler, "On Information and Sufficiency," Annals Mathematical Statistics, vol. 22, no. 1, 1951, pp. 79–86.
5. E.S. Soofi and J.J. Retzer, "Information Indices: Unification and Applications," J. Econometrics, vol. 107, no. 1, 2002, pp. 17–40.
6. P. Pirolli, Information Foraging Theory: Adaptive Interaction with Information, Oxford Univ. Press, 2007.
7. J. Gill, "An Entropy Measure of Uncertainty in Vote Choice," Electoral Studies, vol. 24, no. 3, 2005, pp. 371–392.
8. L. Bartels, "Issue Voting Under Uncertainty: An Empirical Test," American J. Political Science, vol. 30, no. 4, 1988, pp. 709–728.
9. L. Itti and P. Baldi, "A Principled Approach to Detecting Surprising Events in Video," Proc. IEEE Conf. Computer Vision and Pattern Recognition (CVPR), IEEE CS Press, 2005, pp. 631–637.
10. R.S. Burt, "Structural Holes and Good Ideas," American J. Sociology, vol. 100, no. 2, 2004, pp. 349–399.

Index Terms:
visual analytics, theory
Citation:
Chaomei Chen, "An Information-Theoretic View of Visual Analytics," IEEE Computer Graphics and Applications, vol. 28, no. 1, pp. 18-23, Jan.-Feb. 2008, doi:10.1109/MCG.2008.2
Usage of this product signifies your acceptance of the Terms of Use.