Outlier-preserving focus+context visualization in parallel coordinates

IEEE Transactions on Visualization and Computer Graphics

Volumn 12, Issue 5, 2006, Pages 893-900

  Novotný, Matej ^a   Hauser, Helwig ^b  

^a Physics and Informatics   (Slovakia)

^b VRVIS RESEARCH CENTER   (Austria)

Author keywords

Focus+context visualization; Large data visualization; Outliers trends; Parallel coordinates

Indexed keywords

DATASETS; LARGE DATA VISUALIZATION; OUTLIERS & TRENDS; PARALLEL COORDINATES;

DATA STRUCTURES; NAVIGATION SYSTEMS; PARALLEL PROCESSING SYSTEMS;

DATA REDUCTION;

EID: 33845660283     PISSN: 10772626     EISSN: None     Source Type: Journal    
DOI: 10.1109/TVCG.2006.170     Document Type: Conference Paper

References (21)

1. D. Bauer and R. Peikert. Vortex tracking in scale-space. In Proc. of the Joint Eurographics - IEEE TCVG Symposium on Visualization, pages 140-147, 2002.
2. J.-D. Fekete and C. Plaisant. Interactive information visualization of a million items. In Proc. of the IEEE Symposium on Information Visualization, pages 117-124, 2002.
3. Y.-H. Fua, M. O. Ward, and E. A. Rundensteiner. Hierarchical parallel coordinates for exploration of large datasets. In Proc. of IEEE Visualization, pages 43-50, 1999.
4. A. Inselberg. Multidimensional detective. In Proc. of the IEEE Symposium on Information Visualization, pages 100-107, 1997.
5. A. Insclbcrg and B. Dimsdale, Parallel coordinates: a tool for visualizing multidimensional geometry. In Proc. of IEEE Visualization, pages 361-378, 1990.
6. J. Johansson, P. Ljung, M. Jern, and M. Cooper. Revealing structure within clustered parallel coordinates displays. In Proc. of the IEEE Symposium on Information Visualization, pages 125-132, 2005.
7. D. A. Keim and H.-P. Kriegel. Visualization techniques for mining large databases: A comparison. IEEE Transactions on Knowledge Data Engineering, 8(6):923-938, 1996.
8. R. Kosara, F. Bendix, and H. Hauser. Parallel sets: Interactive exploration and visual analysis of categorical data. IEEE Transactions on Visualization and Computer Graphics, 12(4):558-568, 2006.
9. W. G. Kropatsch, H. Bischof, and R. Englert. Digital image analysis: selected techniques and applications, chapter Hierarchies, pages 211-230. Springer, 2000.
10. B. Lichtenbelt, R. Crane, and Sh. Naqvi. Introduction to volume rendering. Prentice-Hall, Inc., 1998.
11. R. D. Martin. Trellis displays for deep understanding of financial data. Financial Engineering News, 3, 1998.
12. J. J. Miller and E. J. Wegman. Construction of line densities for parallel coordinate plots, pages 107-123. Springer-Verlag New York, Inc., 1991.
13. M. Novotny. Visual abstraction for information visualization of large data. In Proc. of the Central European Seminar on Computer Graphics, pages 41-48, 2004.
14. P. J. Rousseeuw and K. Van Driessen. A fast algorithm for the minimum covariance determinant estimator. Technometrics, 41:212-223, 1999.
15. R. J. Rousseeuw and A. M. Leroy. Robust Regression and Outlier Detection. Wiley and Sons, 1987.
16. J. H. Siegel, E. J. Farrell, R. M. Goldwyn, and H. P. Friedman. The surgical implication of physiologic patterns in myocardial infarction shock. Surgery, 72:126-141, 1972.
17. B. W. Silverman. Density estimation for statistics and data analysis. Chapman and Hall, 1986.
18. http://www.liacc.up.pt/ml/statlog/datasets.html.
19. E. R. Tufte. Envisioning Information. Graphics Press, 1990.
20. M. Weiler, R. Westermann, Ch. Hansen, K. Zimmermann, and Th. Ertl. Level-of-detail volume rendering via 3d textures. In Proc. of the IEEE symposium on Volume visualization, pages 7-13, 2000.
21. P. Ch. Wong and R. D. Bergeron. Multiresolution multidimensional wavelet brushing. In Proc. of IEEE Visualization, pages 141-149, 1996.