E W Bethel et al 2009 J. Phys.: Conf. Ser. 180 012084 doi:10.1088/1742-6596/180/1/012084
E W Bethel1, C Johnson2, S Ahern3, J Bell1, P-T Bremer5, H Childs1, E Cormier-Michel1, M Day1, E Deines4, T Fogal2, C Garth4, C G R Geddes1, H Hagen7, B Hamann4, C Hansen2, J Jacobsen1, K Joy4, J Krüger2, J Meredith3, P Messmer6, G Ostrouchov3, V Pascucci2, K Potter2, Prabhat1, D Pugmire3, O Rübel1, A Sanderson2, C Silva2, D Ushizima1, G Weber1,4, B Whitlock5 and K Wu1
Show affiliationsOne of the central challenges facing visualization research is how to effectively enable knowledge discovery. An effective approach will likely combine application architectures that are capable of running on today's largest platforms to address the challenges posed by large data with visual data analysis techniques that help find, represent, and effectively convey scientifically interesting features and phenomena.
07.05.Rm Data presentation and visualization: algorithms and implementation
Issue 1 (2009)
E W Bethel et al 2009 J. Phys.: Conf. Ser. 180 012084
Trilisa M Perrine and Barry D Dunietz 2007 Nanotechnology 18 424003