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| Ying-Huey Fua, Matthew O. Ward, Elke A. Rundensteiner, "Structure-Based Brushes: A Mechanism for Navigating Hierarchically Organized Data and Information Spaces," IEEE Transactions on Visualization and Computer Graphics, vol. 6, no. 2, pp. 150-159, April-June, 2000. | |||
| BibTex | x | ||
| @article{ 10.1109/2945.856996, author = {Ying-Huey Fua and Matthew O. Ward and Elke A. Rundensteiner}, title = {Structure-Based Brushes: A Mechanism for Navigating Hierarchically Organized Data and Information Spaces}, journal ={IEEE Transactions on Visualization and Computer Graphics}, volume = {6}, number = {2}, issn = {1077-2626}, year = {2000}, pages = {150-159}, doi = {http://doi.ieeecomputersociety.org/10.1109/2945.856996}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - JOUR JO - IEEE Transactions on Visualization and Computer Graphics TI - Structure-Based Brushes: A Mechanism for Navigating Hierarchically Organized Data and Information Spaces IS - 2 SN - 1077-2626 SP150 EP159 EPD - 150-159 A1 - Ying-Huey Fua, A1 - Matthew O. Ward, A1 - Elke A. Rundensteiner, PY - 2000 KW - Brushing KW - hierarchical representation KW - interactive selection KW - exploratory data analysis. VL - 6 JA - IEEE Transactions on Visualization and Computer Graphics ER - | |||
Abstract—Interactive selection is a critical component in exploratory visualization, allowing users to isolate subsets of the displayed information for highlighting, deleting, analysis, or focused investigation. Brushing, a popular method for implementing the selection process, has traditionally been performed in either
[1] A. Becker and S. Cleveland, “Brushing Scatterplots,” Technometrics, vol 29, no. 2, pp. 127-142, 1987.
[2] Y.-H Fua, M.O. Ward, and E.A. Rundensteiner, Hierarchical Parallel Coordinates for Exploration of Large Datasets Proc. IEEE Conf. Visualization (Vis '99), pp. 43-50, Oct. 1999.
[3] Y.H. Fua, E.A. Rundensteiner, and M.O. Ward, “Navigating Hierarchies with Structure-Based Brushes,” Proc. IEEE Symp. Information Visualization, Oct. 1999.
[4] G.W. Furnas, "Generalized Fisheye Views," Proc. CHI '86, Addison-Wesley, Reading, Mass., 1986, pp. 16-23.
[5] J. Haslett, R. Bradley, P. Craig, A. Unwin, and G. Wills, “Dynamic Graphics for Exploring Spatial Data with Application to Locating Global and Local Anomalies,” Statistical Computing, vol. 45, no. 3, pp. 234-42, 1991.
[6] A. Inselberg and B. Dimsdale, "Parallel Coordinates: A Tool for Visualizing Multi-Dimensional Geometry," Proc. Visualization '90, IEEE CS Press, 1990, pp. 361-370.
[7] C. Jeong and A. Pang, “Reconfigurable Disc Trees for Visualizing Large Hierarchical Information Space,” Proc. Information Visualization '98, pp. 19-25, 1998.
[8] B. Johnson and B. Shneiderman, “Treemaps: A Space-Filling Approach to the Visualization of Hierarchical Information,” Proc. Visualization '91 Conf., pp. 284-291, 1991.
[9] Y.K. Leung and M.D. Apperley, "A Review and Taxonomy of Distortion-Oriented Presentation Techniques," ACM Trans. on CHI, Vol. 1, No. 2, 1994, pp. 126-160.
[10] A. Martin and M. Ward, “High Dimensional Brushing for Interactive Exploration of Multivariate Data,” Proc. Visualization '95, pp. 271-278, 1995.
[11] R.J. Resnick, M.O. Ward, and E.A. Rundensteiner, “Fed—A Framework for Iterative Data Selection in Exploratory Visualization,” Proc. Int'l Conf. Scientific and Statistical Database Management '98, pp. 180-189, 1998.
[12] G.G. Robertson, J.D. Mackinlay, and S.K. Card, "Cone Trees: Animated 3D Visualizations of Hierarchical Information," Proc. ACM Conf. Human Factors in Computer Systems (CHI 91), ACM Press, 1991, pp. 189-194.
[13] D. Schaffer, Z. Zuo, S. Greenberg, L. Bartram, J. Dill, S. Dubs, and M. Roseman, “Navigating Hierarchically Clustered Networks Through Fisheye and Full-Zoom Methods,” ACM Trans. Computer–Human Interaction, vol. 3, no. 2, pp. 162–188, 1996.
[14] B. Shneiderman, “Tree Visualization with Treemaps: A 2D Space-Filling Approach,” ACM Trans. Graphics, vol. 11, no. 1, pp. 92-99, 1992.
[15] D.I. Stroe, E.A. Rundensteiner, and M.O. Ward, “Minmax Trees: Efficient Relational Operation Support for Hierarchical Data Exploration,” Technical Report WPI-CS-TR-99-37, Worcester Polytechnical Inst., Worcester, Mass., 1999.
[16] M.O. Ward, "XmdvTool: Integrating Multiple Methods for Visualizing Multivariate Data," Proc. Visualization '94, IEEE CS Press, 1994, pp. 326-336.
[17] E. Wegman, “Hyperdimensional Data Analysis Using Parallel Coordinates,” J. Am. Statistical Assoc., vol. 411, no. 85, p. 664, 1990.
[18] G.J. Wills, “Selection: 524,288 Ways to Say 'This is interesting,'” Information Visualization '96 Proc., pp. 54-60, Oct. 1996.
[19] P. Wong and R. Bergeron, “Multiresolution Multidimensional Wavelet Brushing,” Proc. Visualization '96, pp. 141-148, 1996.
[20] T. Zhang, R. Ramakrishnan, and M. Livny, "Birch: An Efficient Data Clustering Method for Very Large Databases," Proc. ACM SIGMOD Int'l Conf. Management of Data, ACM Press, 1996, pp. 103-114.

