Visual exploration of large data sets

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Visual exploration of large data sets

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Communications of the ACM archive
Volume 44 , Issue 8 (August 2001) table of contents

Pages: 38 - 44

Year of Publication: 2001

ISSN:0001-0782

Author

Daniel A. Keim

Univ. of Konstantz, Germany

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 35, Downloads (12 Months): 353, Citation Count: 17

Additional Information:

references cited by index terms review collaborative colleagues

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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	James Abello , Jeffrey Korn, Visualizing Massive Multi-Digraphs, Proceedings of the IEEE Symposium on Information Vizualization 2000, p.39, October 09-10, 2000
	2	Mihael Ankerst , Christian Elsen , Martin Ester , Hans-Peter Kriegel, Visual classification: an interactive approach to decision tree construction, Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining, p.392-396, August 15-18, 1999, San Diego, California, United States [doi>10.1145/312129.312298]
	3	Giuseppe Di Battista , Peter Eades , Roberto Tamassia , Ioannis G. Tollis, Graph Drawing: Algorithms for the Visualization of Graphs, Prentice Hall PTR, Upper Saddle River, NJ, 1998
	4	Stuart K. Card , Jock D. Mackinlay , Ben Shneiderman, Information visualization, Readings in information visualization: using vision to think, Morgan Kaufmann Publishers Inc., San Francisco, CA, 1999
	5	Alfred Inselberg , Bernard Dimsdale, Parallel coordinates: a tool for visualizing multi-dimensional geometry, Proceedings of the 1st conference on Visualization '90, October 23-26, 1990, San Francisco, California
	6	Daniel A. Keim, Designing Pixel-Oriented Visualization Techniques: Theory and Applications, IEEE Transactions on Visualization and Computer Graphics, v.6 n.1, p.59-78, January 2000 [doi>10.1109/2945.841121]
	7	Keim, D. An introduction to information visualization techniques for exploring very large databases. Tutorial notes, Information Visualization'00 (Salt Lake City, UT, Oct. 9-13, 2000).
	8	Eleftherios E. Koutsofios , Stephen C. North , Daniel A. Keim, Visualizing Large Telecommunication Data Sets, IEEE Computer Graphics and Applications, v.19 n.3, p.16-19, May 1999 [doi>10.1109/38.761543]
	9	Matthias Kreuseler , Norma Lopez , Heidrun Schumann, A Scalable Framework for Information Visualization, Proceedings of the IEEE Symposium on Information Vizualization 2000, p.27, October 09-10, 2000
	10	Ramana Rao , Stuart K. Card, The table lens: merging graphical and symbolic representations in an interactive focus + context visualization for tabular information, Proceedings of the SIGCHI conference on Human factors in computing systems: celebrating interdependence, p.318-322, April 24-28, 1994, Boston, Massachusetts, United States [doi>10.1145/191666.191776]
	11	Ben Shneiderman, The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations, Proceedings of the 1996 IEEE Symposium on Visual Languages, p.336, September 03-06, 1996
	12	Colin Ware, Information visualization: perception for design, Morgan Kaufmann Publishers Inc., San Francisco, CA, 2000

CITED BY 17

	Fay Cobb Payton, Data mining in health care applications, Data mining: opportunities and challenges, Idea Group Publishing, Hershey, PA, 2003
	Michael Berthold , David J. Hand, References, Intelligent data analysis, Springer-Verlag New York, Inc., New York, NY, 2003
	Jean-Daniel Fekete , Catherine Plaisant, Interactive Information Visualization of a Million Items, Proceedings of the IEEE Symposium on Information Visualization (InfoVis'02), p.117, October 28-29, 2002
	Savrina F. Carrizo, Phylogenetic trees: an information visualisation perspective, Proceedings of the second conference on Asia-Pacific bioinformatics, p.315-320, January 01, 2004, Dunedin, New Zealand
	Daniel A. Keim, Information Visualization and Visual Data Mining, IEEE Transactions on Visualization and Computer Graphics, v.8 n.1, p.1-8, January 2002
	Keke Chen , Ling Liu, ClusterMap: labeling clusters in large datasets via visualization, Proceedings of the thirteenth ACM international conference on Information and knowledge management, November 08-13, 2004, Washington, D.C., USA
	Keke Chen , Ling Liu, VISTA: validating and refining clusters via visualization, Information Visualization, v.3 n.4, p.257-270, December 2004
	Christopher C. Yang , Hsinchun Chen , Kay Hong, Visualization of large category map for internet browsing, Decision Support Systems, v.35 n.1, p.89-102, 01 April 2003
	Kamel Chelghoum , Maurice Margenstern , Benoît Martin et Isabelle Pecci, Palette hyperbolique: un outil pour interagir avec des ensembles de donneacute;es, Proceedings of the 16th conference on Association Francophone d'Interaction Homme-Machine, p.195-198, August 30-September 03, 2004, Namur, Belgium
	Jin Zhang , Tien Nguyen, Webstar: a visualization model for hyperlink structures, Information Processing and Management: an International Journal, v.41 n.4, p.1003-1018, July 2005
	Seung Hee Lee , Kyung Soon Hwang , Hye Ry Lee , Sung Soo Kim , Keon Myung Lee , Chan Hee Lee , Sung Duck Lee, Embedding operational taxonomic units in three-dimensional spce for evolutionary distance relationship in phylogenetic analysis, Proceedings of the 5th WSEAS International Conference on Circuits, Systems, Electronics, Control & Signal Processing, p.192-196, November 01-03, 2006, Dallas, Texas
	Keke Chen , Ling Liu, iVIBRATE: Interactive visualization-based framework for clustering large datasets, ACM Transactions on Information Systems (TOIS), v.24 n.2, p.245-294, April 2006
	Ramona Su Thompson , Esa M. Rantanen , William Yurcik , Brian P. Bailey, Command line or pretty lines?: comparing textual and visual interfaces for intrusion detection, Proceedings of the SIGCHI conference on Human factors in computing systems, April 28-May 03, 2007, San Jose, California, USA
	Ben Shneiderman, Extreme visualization: squeezing a billion records into a million pixels, Proceedings of the 2008 ACM SIGMOD international conference on Management of data, p.3-12, June 09-12, 2008, Vancouver, Canada
	Olaf Noppens , Thorsten Liebig, Realizing the hidden: interactive visualization and analysis of large volumes of structured data, Proceedings of the working conference on Advanced visual interfaces, May 28-30, 2008, Napoli, Italy
	Matthias Deller , Achim Ebert , Michael Bender , Stefan Agne , Henning Barthel, Preattentive visualization of information relevance, Proceedings of the international workshop on Human-centered multimedia, September 28-28, 2007, Augsburg, Bavaria, Germany
	Jolita Bernatavičienė , Gintautas Dzemyda , Virginijus Marcinkevičius, Conditions for Optimal Efficiency of Relative MDS, Informatica, v.18 n.2, p.187-202, April 2007

INDEX TERMS

Primary Classification:
H. Information Systems
H.2 DATABASE MANAGEMENT
H.2.8 Database applications

Additional Classification:
I. Computing Methodologies
I.3 COMPUTER GRAPHICS
I.3.7 Three-Dimensional Graphics and Realism
I.3.8 Applications

General Terms:
Algorithms

REVIEW

"Svetlana Segarceanu : Reviewer"

The goal of this paper is to incorporate and systematize recent and ongoing advances concerning the use of visual methods in analyzing large amounts of data. These methods represent a new approach in software, trying to help to reduce the effort i more...

Collaborative Colleagues:

Daniel A. Keim: colleagues

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