Interactive visual exploration and analysis

Mathematics and Visualization

Volumn 37, Issue , 2014, Pages 161-173

  Weber, Gunther H ^a,b   Hauser, Helwig ^c  

^a LAWRENCE BERKELEY NATIONAL LABORATORY   (United States)

^b University of California   (United States)

^c UNIVERSITY OF BERGEN   (Norway)

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE EXTRACTION; VISUALIZATION;

APPLICATION SPECIFIC; BOOLEAN OPERATIONS; FEATURE EXTRACTION METHODS; INTERACTIVE EXPLORATION; INTERACTIVE VISUAL EXPLORATION AND ANALYSIS; MULTIPLE SELECTION; SPATIO-TEMPORAL DOMAINS; VISUAL DATA EXPLORATION AND ANALYSIS;

ITERATIVE METHODS;

EID: 84921654890     PISSN: 16123786     EISSN: 2197666X     Source Type: Book Series    
DOI: 10.1007/978-1-4471-6497-5_15     Document Type: Article

References (33)

1. Becker, R. A., Cleveland, W. S.: Brushing scatterplots. Technometrics 29(2), 127-142 (1987).
2. Buerger, R., Muigg, P., Ilčík, M., Doleisch, H., Hauser, H.: Integrating local feature detectors in the interactive visual analysis of flow simulation data. In: Museth, K., Möller, T., Ynnerman, A. (eds.) Proceedings of EuroVis 2007, pp. 171-178. Eurographics Association, Norrköping, Sweden (2007).
3. Chambers, J. M., Cleveland, S, W., Kleiner, B., Tukey, P. A.: Graphical Methods for Data Analysis. Wadsworth/Brooks Cole, Monterey (1983).
4. d'Ocagne, M.: Coordonnées Parallèles et Axiales: Méthode de transformation géométrique et procédé nouveau de calcul graphique déduits de la considération des coordonnées parallèlles. Gauthier-Villars, Paris (1885).
5. Doleisch, H., Gasser, M., Hauser, H.: Interactive feature specification for focus+context visualization of complex simulation data. In: Bonneau, G. P., Hahmann, S., Hansen, C. D. (eds.) Data Visualization 2003, Proceedings of the Eurographics/IEEETCVG Symposim on Visualization (2003).
6. Doleisch, H., Hauser, H.: Smooth brushing for focus+context visualization of simulation data in 3d. In: Proceedings WSCG'02, pp. 147-154 (2002).
7. Doleisch, H., Mayer, M., Gasser, M., Wanker, R., Hauser, H.: Case study: Visual analysis of complex, time-dependent simulation results of a diesel exhaust system. EuroGraphics Symposium on Visualization 2004, pp. 91-96 (2004).
8. Gresh, D. L., Rogowitz, B. E., Winslow, R. L., Scollan, D. F., Yung, C. K.: WEAVE: a system for visually linking 3-d and statistical visualizations, applied to cardiac simulation and measurement data. In: Ertl, T., Hamann, B., Varshney, A. (eds.) Proceedings IEEE Visualization 2000, pp. 489-492. IEEE Computer Society Press, Los Alamitos (2000).
9. Hauser, H.: Generalizing Focus+Context Visualization, pp. 305-327. Springer, Berlin (2006).
10. Hauser, H., Ledermann, F., Doleisch, H.: Angular brushing for extended parallel coordinates. In: Proceedings of the IEEE Symposium on Information Visualization 2002 (InfoVis 2002), pp. 127-130 (2002).
11. Hauser, H., Mroz, L., Bischi, G. I., Gröller, M. E.: Two-level volume rendering. IEEE Trans. Vis. Comput. Graph. 7, 242-252 (2001).
12. Henze, C.: Feature detection in linked derived spaces. In: Ebert, D., Rushmeier, H., Hagen, H. (eds.) Proceedings IEEE Visualization '98, pp. 87-94. IEEE Computer Society Press, Los Alamitos (1998).
13. Inselberg, A.: The plane with parallel coordinates. Vis. Comput. 1(4), 69-91 (1985).
14. Kehrer, J., Filzmoser, P., Hauser, H.: Brushing moments in interactive visual analysis. Comput Graph Forum (Proceedings of EuroVis) 29(3), 813-822 (2010).
15. Kehrer, J., Ladstädter, F., Muigg, P., Doleisch, H., Steiner, A., Hauser, H.: Hypothesis generation in climate research with interactive visual data exploration. IEEE Trans. Visu. Comput. Graph. 14, 1579-1586 (2008).
16. Kehrer, J., Muigg, P., Doleisch, H., Hauser, H.: Interactive visual analysis of heterogeneous scientific data across an interface. IEEE Trans. Vis. Comput. Graph. 17(7), 934-946 (2011).
17. Keim, D., Kohlhammer, J., Ellis, G., Mansmann, F. (eds.): Mastering the Information Age-Solving Problems with Visual Analytics. Eurographics (2010).
18. Kosara, R., Miksch, S., Hauser, H.: Semantic depth of field. In: IEEE Symposium on Information Visualization pp. 97-104 (2001).
19. Kosara, R., Sahling, G. N., Hauser, H.: Linking scientific and information visualization with interactive 3D scatterplots. In: Short Communication Papers Proceedings of the 12th International Conference in Central Europe on Computer Graphics, Visualization, and Computer Vision (WSCG), pp. 133-140 (2004).
20. Ladstädter, F., Steiner, A. K., Lackner, B. C., Pirscher, B., Kirchengast, G., Kehrer, J., Hauser, H., Muigg, P., Doleisch, H.: Exploration of climate data using interactive visualization. J. Atmos. Oceanic Technol. 27(4), 667-679 (2010).
21. Lokuge, I., Ishizaki, S.: Geospace: an interactive visualization system for exploring complex information spaces. In: Proceedings of the ACM CHI '95 Conference on Human Factors in Computing Systems, pp. 409-414 (1995).
22. Matković, K., Gračanin, D., Jelović, M., Ammer, A., Lež, A., Hauser, H.: Interactive visual analysis of multiple simulation runs using the simulationmodel view: Understanding and tuning of an electronic unit injector. IEEE Trans. Vis. Comput. Graph. 16(6), 1449-1457 (2010).
23. Muigg, P., Kehrer, J., Oeltze, S., Piringer, H., Doleisch, H., Preim, B., Hauser, H.: A four-level focus+context approach to interactive visual analysis of temporal features in large scientific data. Comput. Graph. Forum (Proceedings of EuroVis 2008) 27, 775-782 (2008).
24. Novotný, M., Hauser, H.: Similarity brushing for exploring multidimensional relations. J. WSCG 14(1-3), 105-112 (2006).
25. Oeltze, S., Doleisch, H., Hauser, H., Muigg, P., Preim, B.: Interactive visual analysis of perfusion data. IEEE Trans. Vis. Comput. Graph. 13, 1392-1399 (2007). doi: http://doi. ieeecomputersociety. org/10. 1109/TVCG. 2007. 70569.
26. Piringer, H., Kosara, R., Hauser, H.: Interactive focus+context visualization with linked 2D/3D scatterplots. In: Proceedings of the Second InternationalConference on Coordinated&Multiple Views in Exploratory Visualization (CMV'04), pp. 49-60. IEEE Computer Society, Washington, DC, (2004). doi: http://dx. doi. org/10. 1109/CMV. 2004. 11.
27. Rübel, O., Prabhat, Wu, K., Childs, H., Meredith, J., Geddes, C. G. R., Cormier-Michel, E., Ahern, S., weber, G. H., Messmer, P., Hagen, H., Hamann, B., Bethel, E. W.: High performance multivariate visual data exploration for extemely large data. In: SuperComputing 2008 (SC08) (2008).
28. Rübel, O., Weber, G. H., Huang, M. Y., Bethel, E. W., Biggin, M. D., Fowlkes, C. C., Hendriks, C. L., Keränen, S. V. E., Eisen, M. B., Knowles, D. W., Malik, J., Hagen, H., Hamann, B.: Integrating data clustering and visualization for the analysis of 3d gene expression data. IEEE Trans. Comput. Biol. Bioinform. 7(1), 64-79 (2010).
29. Stockinger, K., Shalf, J., Wu, K., Bethel, E. W.: Query-driven visualization of large data sets. In: Proceedings of IEEE Visualization 2005, pp. 167-174. IEEE Computer Society Press (2005).
30. Thomas, J. J., Cook, K. A. (eds.): Illuminating the path: the research and development agenda for visual analytics (2005). Available at URL http://nvac. pnl. gov/agenda. stm.
31. Wang Baldonado, M. Q., Woodruff, A., Kuchinsky, A.: Guidelines for using multiple views in information visualization. In: AVI '00: Proceedings of the Working Conference on Advanced Visual Interfaces, pp. 110-119. ACMPress, NewYork (2000). doi: http://doi. acm. org/10. 1145/345513. 345271.
32. Weber, G. H., Rübel, O., Huang, M. Y., DePace, A. H., Fowlkes, C. C., Keränen, S. V., Luengo Hendriks, C. L., Hagen, H., Knowles, D. W., Malik, J., Biggin, M. D., Hamann, B.: Visual exploration of three-dimensional gene expression using physical views and linked abstract views. IEEE Trans. Computat. Biol. Bioinform. 6(2), 296-309 (2009). doi: 10. 1109/TCBB. 2007. 70249.
33. Wu, K., Otoo, E., Shoshani, A.: Optimizing bitmap indices with efficient compression. ACM Trans. Database Syst. 31, 1-38 (2006).