Intelligent visual analytics queries

VAST IEEE Symposium on Visual Analytics Science and Technology 2007, Proceedings

Volumn , Issue , 2007, Pages 91-98

  Hao, Ming C ^a   Dayal, Umeshwar ^a   Keim, Daniel A ^b   Morent, Dominik ^b   Schneidewind, Joern ^b  

^a HEWLETT PACKARD LABORATORIES   (United States)

^b UNIVERSITY OF KONSTANZ   (Germany)

Author keywords

Interactive queries; Similarity queries; Visual analytics query

Indexed keywords

ANALYTICAL METHODS; COMMERCIAL APPLICATIONS; DATA DIMENSIONS; DATA SETS; LOCAL PATTERNS; MULTI-DIMENSIONAL DATA; PARALLEL COORDINATES; PERFORMANCE ANALYSES; PRODUCT SALES; REAL WORLD DATA SETS; SCATTER PLOTS; SPECIAL PROPERTIES; VISUAL ANALYTICS; VISUAL INTERACTION; VISUAL REPRESENTATIONS;

ADMINISTRATIVE DATA PROCESSING; DATA WAREHOUSES; MAPS;

VISUALIZATION;

EID: 47349089688     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/VAST.2007.4389001     Document Type: Conference Paper

References (18)

1. D. A. Keim. Information Visualization and Visual Data Mining, IEEE Transactions on Visualization and Computer Graphics (TVCG) 1, (8) pages 1-8, 2002.
2. R. Vlicgcn. J. J. van Wijk, E.-J. van der Linden. Visualizing Business data with Generalized Treemaps. IEEE Symposium on Information Visualization 2006.
3. S. Card, R. Rao: Exploring Large Tables with the Table Lens. Proceedings of the ACM Conference on Human Factors in Computing Systems, 1995.
4. Furnas: Generalized Fisheye Views. Proceedings of the ACM Conference on Human Factors in Computing Systems. 1986.
5. J. Thomas and K.A. Cook. Illuminating the path: Research and Development agenda for Visual Analytics. IEEE Press, October 2005.
6. M. Hao, U. Dayal. D. Keim. T. Schreck. A Visual Analysis of Multi-Attribute Data Using Pixel Matrix Displays. In Proc. VDA07, 2007.
7. C. Stolte, D. Tang, and P. Hanrahan. Polaris: A system for query. analysis, and visualization of multidimensional relational databases. IEEE Transactions on Visualization and Computer Graphics. 8(1):52 65, 2002.
8. D. A. Keim and H.-P. Kriegel. VISDR: Database exploration using multidimensional visualization. IEEE Computer Graphics and Applications. 14(5):40 49, 1994.
9. M. O. Ward. Xmdvtool: Integrating multiple methods for visualizing multivariate data. In Proc. Visualization 94, Washington. D.C.
10. J. Yang, M. O. Ward, E. A. Rundensteiner, and S. Huang. Visual hierarchical dimension reduction for exploration of high dimensional datasets. In VISSYM '03: Proceedings of the Symposium on Data Visualisation 2003, pages 19-28. Airc-la-Villc. Switzerland, Switzerland, 2003. Eurographics Association.
11. B, P. Aris, C. Plaisant, A. Khella, B. Shncidcnnan. Interactive Pattern Search in Time Series, Proceedings of Conference on Visualization and Data Analysis, VDA 2005, SPIE. Washington DC (2005): 175-186.
12. H. Hochheiser, B. Shneiderman, Dynamic Query Tools for Time Scries Data Sets, Timcbox Widgets for Interactive Exploration. Information Visualizations, 1 (March2004), 1-18.
13. nd Edt. Morgan Kaufmann Publishers, 2006.
14. A. Inselberg and B. Dimsdale. Parallel coordinates: a tool for visualizing multi-dimensional geometry. In VIS '90: Proceedings of the 1st conference on Visualization '90, pages 361 378. Los Alamitos, CA, USA 1990. IEEE Computer Society Press.
15. A. Inselberg. The plane with parallel coordinates. The Visual Computer. Vl (4):69-91, 1985.
16. M. Ankerst, S. Berehtold, and D. A. Keim. Similarity clustering of dimensions for an enhanced visualization of multidimensional data. In INFOVIS '98: Proceedings of the 1998 IEEE Symposium on Information Visualization, page 52. IEEE, 1998.
17. Ledermann: Parvis - Tool for parallel coordinates visualization. http://home.subnet.at/flo/mv/parvis/index.html
18. Gunst, Mason: Data on annual homicides in Detroit, 1961-73. from Gunst & Mason's book 'Regression Analysis and its Application', Marcel Dekker. Contains data on 14 relevant variables collected by J.C. Fisher. Source: http://lib.stat.cmu.edu/datascts/detroit.