Hierarchical temporal patterns and interactive aggregated views for pixel-based visualizations

Proceedings of the International Conference on Information Visualisation

Volumn , Issue , 2009, Pages 44-50

  Lammarsch, T ^a   Aigner, W ^a   Bertone, A ^a   Gartner J ^b   Mayr, E ^a   Miksch, S ^a   Smuc, M ^a  

^a DANUBE UNIVERSITY KREMS   (Austria)

^b XIMES GmbH   (Austria)

Author keywords

[No Author keywords available]

Indexed keywords

ANALYSIS PROCESS; REAL-WORLD PROBLEM; TEMPORAL PATTERN; TIME GRANULARITIES; VISUAL ANALYSIS;

PIXELS; VISUALIZATION;

DATA VISUALIZATION;

EID: 70449496493     PISSN: 10939547     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IV.2009.52     Document Type: Conference Paper

References (22)

1. W. Aigner, S. Miksch, W. Müller, H. Schumann, and C. Tominski. Visualizing Time-Oriented Data - A Systematic View. Computers & Graphics, 31(3):401-409, June 2007.
2. R. Amar and J. Stasko. Knowledge Precepts for Design and Evaluation of Information Visualizations. IEEE TVCG, pages 432-442, 2005.
3. B. B. Bederson, A. Clamage, M. P. Czerwinski, and G. G. Robertson. DateLens: A Fisheye Calendar Interface for PDAs. ACM Transactions on Computer-Human Interaction (TOCHI), 11(1):90-119, 2004.
4. D. Brodbeck and L. Girardin. Interactive Poster: Trend Analysis in Large Timeseries of High-Throughput Screening Data Using a Distortion-Oriented Lens with Semantic Zooming. In Poster Compendium of IEEE Symposium on Information Visualization (InfoVis03), pages 74-75. IEEE, 2003.
5. S. Card, J. Mackinlay, and B. Shneiderman. Readings in Information Visualization: Using Vision to Think. Morgan Kaufmann Publishers, San Francisco, 1999.
6. W. Cleveland. Visualizing Data. Hobart Press, Summit, NJ, USA, 1993.
7. A. Colman. A Dictionary of Psychology. Oxford University Press New York, 2001.
8. I. A. Goralwalla, M. T. Özsu, and D. Szafron. An Object-Oriented Framework for Temporal Data Models, pages 1- 35. Springer, 1998.
9. M. Hao, U. Dayal, D. Keim, and T. Schreck. Multi- Resolution Techniques for Visual Exploration of Large Time-Series Data. In Proc. of Eurographics/IEEE-VGTC Symposium on Visualization, pages 27-34, 2007.
10. H. Hochheiser. Interactive Querying of Time Series Data. In CHI '02 extended abstracts on Human Factors in Computing Systems, pages 552-553. ACM Press, 2002.
11. D. Keim, H.-P. Kriegel, and M. Ankerst. Recursive Pattern: A Technique for Visualizing Very Large Amounts of Data. In Proceedings of IEEE Visualization (Vis95), pages 279-286, 1995.
12. M. Luboschik and H. Schumann. Explode to Explain- Illustrative Information Visualization. In Proceedings of the 11th International Conference Information Visualization, pages 301-307. IEEE Computer Society Washington, DC, USA, 2007.
13. J. Mackinlay. Automating the Design of Graphical Presentations of Relational Information. ACM Transactions on Graphics, 5(2), 1986.
14. M. Shimabukuro, E. Flores, M. de Oliveira, and H. Levkowitz. Coordinated Views to Assist Exploration of Spatio-Temporal Data: A Case Study. In Proceedings of the 2nd International Conference on Coordinated and Multiple Views in Exploratory Visualization (CMV04), pages 107- 117. IEEE, July 13 2004.
15. B. Shneiderman. The eyes have it: a task by data type taxonomy for informationvisualizations. In Visual Languages, 1996. Proceedings., IEEE Symposium on, pages 336-343, 1996.
16. M. Smuc, E. Mayr, T. Lammarsch, A. Bertone, W. Aigner, H. Risku, and S. Miksch. Visualizations at First Sight: Do Insights Require Traininig? In Proceedings of 4th Symposium of the Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society (USAB 2008), pages 261-280. Springer, November 2008.
17. M. Smuc, E. Mayr, T. Lammarsch, W. Aigner, S. Miksch, and J. G̈artner. To Score or not to Score? How to Triple Insights for Participatory Design. In IEEE Computer Graphics and Applications, Special Issue, In Print.
18. E. Tufte. Envisioning Information. Cheshire, CT, 1990.
19. E. Tufte and G. Schmieg. The Visual Display of Quantitative Information. American Journal of Physics, 53:1117, 1985.
20. J. J. van Wijk and E. R. van Selow. Cluster and Calendar Based Visualization of Time Series Data. In Proceedings of the IEEE Symposium on Information Visualization 1999 (InfoVis99), pages 4-9, 1999.
21. C. Ware. Information Visualization: Perception for Design. Morgan Kaufmann, 2004.
22. E. Zerubavel. The Seven Day Circle: The History and Meaning of the Week. University Of Chicago Press, 1989.