The Community for Technology Leaders
RSS Icon
Issue No.05 - September/October (1994 vol.14)
pp: 40-49
<p>Discusses how the VisDB system supports the query specification process by representing the result visually. The main idea behind the system stems from the view of relational database tables as sets of multidimensional data where the number of attributes corresponds to the number of dimensions. In such a view, it is often unclear. In this system, each display pixel represents one database item. Pixels are arranged and colored to indicate the item's relevance to a user query and to give a visual impression of the resulting data set.</p>
Daniel A. Keim, "VisDB: Database Exploration Using Multidimensional Visualization", IEEE Computer Graphics and Applications, vol.14, no. 5, pp. 40-49, September/October 1994, doi:10.1109/38.310723
1. G.T. Herman and H. Levkowitz, "Color Scales for Image Data,"IEEE CG&A, Vol. 12, No. 1, Jan. 1992, pp. 72-80.
2. A. Motro, "Flex: A Tolerant and Cooperative User Interface to Databases,"IEEE Trans. on Knowledge and Data Engineering, Vol. 2, No. 2, 1990, pp. 231-246.
3. D.A. Keim and V. Lum, "Gradi: A Graphical Database Interface for a Multimedia DBMS,"Proc. Int'l Workshop on Interfaces to Database Systems, inLecture Notes in Computer Science, Springer, London, 1992, pp. 95-112.
4. S.J. Kaplan, "Cooperative Responses from a Portable Natural Language Query System,"Artificial Intelligence, Vol. 19, 1982, pp. 165-187.
5. A.K. Joshi, S.J. Kaplan, and R.M. Lee, "Approximate Responses from a Data Base Query System: Applications of Inferencing in Natural Language,"Proc. 5th Int'l Joint Conf. on Artificial Intelligence, 1977, pp. 211-212.
6. G. Salton and M. J. McGill,Introduction to Modern Information Retrieval(Computer Series). New York: McGraw-Hill, 1983.
7. J. Bertin,Graphics and Graphic Information Processing, Walter de Gruyer&Co., Berlin, 1981.
8. E. R. Tufte,The Visual display of Quantitative Information. Cheshire, CT: Graphics Press, 1983.
9. J. Beddow,Proc. IEEE Conf. Visualization, Oct. 1990, CS Press, Los Alamitos, Calif., pp. 238-246.
10. S. Feiner and C. Beshers, "Visualizingn-dimensional Virtual Worlds withn-Vision,"Computer Graphics(Proc. 1990 Symp. Interactive Graphics), Vol. 24, No. 2, March 1990, pp. 37-38.
11. A. Inselberg and B. Dimsdale.Proc. IEEE Conf. Visualization, Oct. 1990, CS Press, Los Alamitos, Calif., pp. 361-375.
12. R.M. Pickett and G.G. Grinstein, "Iconographic Displays for Visualizing Multidimensional Data,"Proc. 1988 IEEE Conf. Systems, Man, and Cybernetics, IEEE, Piscataway, N.J., 1988, pp. 164-170.
13. R.D. Bergeron, L.D. Meeker, and T.M. Sparr, "Visualization-Based Model for a Scientific Database System," inFocus on Scientific Visualization, H. Hagen, M. Miller, and G. Nielson, eds., Springer, Berlin, 1992, pp. 103-121.
14. J. LeBlanc, M.O. Ward, and N. Wittels,Proc. Visualization 90, Oct. 1990, CS Press, Los Alamitos, Calif., pp. 230-237.
15. T. Mihalisin et al., "Visualizing Scalar Field on anN-dimensional Lattice,"Proc. Visualization 90, IEEE CS Press, Los Alamitos, Calif., 1990, pp. 255-262.
16. F. Marchak and D. Zulager, "Effectiveness of Dynamic Graphics in Revealing Structure in Multivariate Data,"Behavior, Research Methods, Instruments and Computers, Vol. 24, No. 2, 1992. pp. 253-257.
17. B. Shneiderman, "Dynamic Queries for Visual Information Seeking," to appear inIEEE Soffware, 1994.
18. D. Bergeron, D.A. Keim, and R. Pickett, "Test Datasets for Evaluating Data Visualization Techniques, " inPerceptual Issues in Visualization, G.G. Grinstein and H. Levkowitz, eds., Springer, Heidelberg, 1994.
19. D.A. Keim, H.-P. Kriegel, and T. Seidl, "Supporting Data Mining of Large Databases by Visual Feedback Queries,"Proc. 10th Int'l Conf. on Data Eng., IEEE CS Press, Los Alamitos, Calif., 1994, pp. 302-313.
21 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool