Zusammenfassung
Durch den rasanten technologischen Fortschritt steigt die Menge an Daten, die in heutigen Computersystemen gespeichert ist, sehr schnell an. Damit wird die Suche nach interessanter Information innerhalb der Datenbestände immer schwieriger. In diesem Beitrag wird ein neuer Ansatz zur Datenexploration und -analyse vorgestellt, der auf neuartigen Visualisierungstechniken basiert und für die Exploration und Analyse sehr großer Datenbanken entwickelt wurde. Die prinzipielle Idee dabei ist die gleichzeitige Darstellung möglichst vieler Datenobjekte am Bildschirm, wobei jeder Datenwert durch ein Pixel des Bildschirms repräsentiert wird.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
Literatur
Tufte E. R.: ‘Envisioning Information’, Graphics Press, Cheshire, CT, 1990.
Andrews D. F.: ‘Plots of High-Dimensional Data’, in: Biometrics, Vol. 29, 1972, pp. 125–136.
Cleveland W. S.: ‘Visualizing Data’, AT&T Bell Laboratories, Murray Hill, NJ, Hobart Press, Summit NJ, 1993.
Chernoff H.: ‘The Use of Faces to Represent Points in k-Dimensional Space Graphically’, Journal Amer. Statistical Association, Vol. 68, pp. 361–368.
Dunn G., Everitt B.: ‘An Introduction to Mathematical Taxonomy ’, Cambridge University Press, Cambridge, MA, 1982.
Harman H. H.: ‘Modern Factor Analysis’, University of Chicago Press, 1967.
Shepard R. N., Romney A. K., Nerlove S. B.: ‘Multidimensional Scaling’, Seminar Press, New York, 1972.
Huber P. J.: ‘Projection Pursuit’, The Annals of Statistics, Vol. 13, No. 2, 1985, pp. 435–474.
Asimov D.: ‘The Grand Tour: A Tool For Viewing Multidimensional Data’, SI AM Journal of Science & Stat. Comp., Vol. 6, 1985, pp. 128–143.
Inselberg A., Dimsdale B.: ‘Parallel Coordinates: A Tool for Visualizing Multi-Dimensional Geometry’, Visualization ’90, San Francisco, CA, 1990, pp. 361–370.
Tufte E. R.: ‘The Visual Display of Quantitative Information’, Graphics Press, Cheshire, CT, 1983.
Pickett R. M., Grinstein G. G.: ‘Iconographie Displays for Visualizing Multidimensional Data’, Proc. IEEE Conf. on Systems, Man and Cybernetics, IEEE Press, Piscataway, NJ, 1988, pp. 514–519.
Beddow J.: ‘Shape Coding of Multidimensional Data on a Mircocomputer Display’, Visualization ’90, San Francisco, CA, 1990, pp. 238–246.
LeBlanc J., Ward M. O., Wittels N.: ‘Exploring N-Dimensional Databases’, Visualization’90, San Francisco, CA, 1990, pp. 230–239.
Shneiderman B.: ‘Tree Visualization with Treemaps: A 2D Space-Filling Approach’, ACM Transactions on Graphics, Vol. 11, No. 1, pp. 92–99, 1992.
Becker R. A., Eick S. G., Wilks A. R.: ‘Visualizing Network Data’, Transactions on Visualization and Computer Graphics, Vol. 1, No. 1, 1995.
Hendley R. J., Drew N. S., Wood A. M., Beale R.: ‘Narcissus: Visualizing Information’, Proc. Int. Symp. on Information Visualization, Atlanta, GA, 1995, pp. 90–94.
Sarkar M., Brown M.: ‘Graphical Fisheye Views’, Communications of the ACM, Vol. 37, No. 12, 1994, pp. 73–84.
Lamping J., Rao R., Pirolli P.: ‘A Focus + Context Technique Based on Hyperbolic Geometry for Visualizing Large Hierarchies’, Proc. Human Factors in Computing Systems CHI’95 Conf., Denver, CO, 1995, pp. 401–408.
Ward M. O.: ‘XmdvTool: Integrating Multiple Methods for Visualizing Multivariate Data’, Visualization’94, Washington, DC, 1994, pp. 326–336.
Bederson B.: ‘Pad++: Advances in Multiscale Interfaces’, Proc. Human Factors in Computing Systems CHI ’94 Conf., Boston, MA, 1994, p. 315.
Beshers C., Feiner S.: ‘AutoVisual: Rule-Based Design of Interactive Multivariate Visualizations’, IEEE Computer Graphics and Applications, Vol. 13, No. 4, 1993, pp. 41–49.
Keim D. A.: ‘Databases and Visualization’,Tutorial, Int. Conf. on Management of Data (SIG- MOD’96), 1996 (postscript file available at http://www.informatik.uni-halle.de/~keim).
Keim D. A., Kriegel H.-P., Ankerst M.: ‘Recursive Pattern: A Technique for Visualizing Very Large Amounts of Data’, Visualization ’95, Atlanta, GA, 1995, pp. 279–286.
Ankerst M., Keim D. A., Kriegel H.-P.: ‘Circle-Segments: A Technique for Visually Exploring Large Multidimensional Data Sets’, Visualization ’96, Hot Topic Session, San Francisco CA, 1996.
Keim D. A., Kriegel H.-P., Seidl T.: ‘Supporting Data Mining of Large Databases by Visual Feedback Queries’, Proc. 10th Int. Conf. on Data Engineering, Houston, TX, 1994, pp. 302–313.
Keim D. A.: ‘Visual Support for Query Specification and Data Mining’, Dissertation, Ludwig-Maximilians-Universität München, 1994.
Keim D. A., Kriegel H.-P.: ‘VisDB: Database Exploration using Multidimensional Visualization’, Computer Graphics & Applications, Sept. 1994, pp. 40–49.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1998 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Keim, D.A. (1998). Verwendung von Bildern zur Exploration und Analyse großer Datenmengen. In: Dassow, J., Kruse, R. (eds) Informatik ’98. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-72283-7_3
Download citation
DOI: https://doi.org/10.1007/978-3-642-72283-7_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-64938-0
Online ISBN: 978-3-642-72283-7
eBook Packages: Springer Book Archive