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Issue No.07 - July (2013 vol.46)
pp: 56-60
Jarke J. van Wijk , Dept. of Math. & Comput. Sci., Eindhoven Univ. of Technol., Eindhoven, Netherlands
ABSTRACT
Because visual analytics has a broad scope and aims at knowledge discovery, evaluating the methods used in this field is challenging. Successful solutions are often found through trial and error, with solid guidelines and findings still lagging. The Web Extra document contains links with further information on visual analytics challenges and repositories.
INDEX TERMS
Visual analytics, Data visualization, Knowledge discovery, Information analysis,HASH(0x4d1a5fc),
CITATION
Jarke J. van Wijk, "Evaluation: A Challenge for Visual Analytics", Computer, vol.46, no. 7, pp. 56-60, July 2013, doi:10.1109/MC.2013.151
REFERENCES
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8. T. Munzner, “A Nested Model for Visualization Design and Validation,” IEEE Trans. Visualization and Computer Graphics, vol. 15, no. 6, 2009, pp. 921-928.
9. J. Scholtz et al., “A Reflection on Seven Years of the VAST Challenge,” Proc. 2012 BELIV Beyond Time and Errors-Novel Evaluation Methods for Information Visualization (BELIV 12), ACM, 2012; doi: 10.1145/2442576.244 2589.
10. J.J. van Wijk et al., “Evaluation,” Mastering the Information Age: Solving Problems with Visual Analytics, chap. 8, D. Keim et al., eds., Eurographics Assoc., 2010.
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