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September/October 2007 (vol. 27 no. 5)
pp. 15-19
Kris Cook, Pacific Northwest National Laboratory
Rae Earnshaw, University of Bradford, UK
John Stasko, Georgia Institute of Technology
The marriage of computation, visual representation, and interactive thinking supports intensive analysis. The goal is not only to permit users to detect expected events, such as might be predicted by models, but also to help users discover the unexpected—the surprising anomalies, changes, patterns, and relationships that are then examined and assessed to develop new insight. The Guest Editors discuss the key issues and challenges associated with discovering the unexpected, as well as introduce the articles that make up this Special Issue.

1. J.H. Clark, "Foreword," An Introductory Guide to Scientific Visualization, R.A. Earnshaw and N. Wiseman, Springer Verlag, 1992.
2. Illuminating the Path: The Research and Development Agenda for Visual Analytics, J.J. Thomas and K.A. Cook (eds.), IEEE CS Press, 2005, p. 186.
3. J. Sweller, "Cognitive Load During Problem Solving: Effects on Learning," Cognitive Science, vol. 12, no. 1, 1988, pp. 257–285.
4. K. Popper, The Logic of Scientific Discovery, Routledge, 2002 (originally published 1959).
5. T.S. Kuhn, The Structure of Scientific Revolutions, Univ. Chicago Press, 1996 (originally published 1962).
6. S.H. Muggleton, "Exceeding Human Limits," Nature, vol. 440, 2006, pp. 409–410.

Index Terms:
visual analytics, visualization, information visualization, time line
Citation:
Kris Cook, Rae Earnshaw, John Stasko, "Guest Editors' Introduction: Discovering the Unexpected," IEEE Computer Graphics and Applications, vol. 27, no. 5, pp. 15-19, Sept.-Oct. 2007, doi:10.1109/MCG.2007.126
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