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Fusion: interactive coordination of diverse data, visualizations, and mining algorithms

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Conference on Human Factors in Computing Systems archive
CHI '03 extended abstracts on Human factors in computing systems table of contents

Ft. Lauderdale, Florida, USA

SESSION: Demos table of contents

Pages: 626 - 627

Year of Publication: 2003

ISBN:1-58113-637-4

Authors

Chris North	Virginia Polytechnic Institute and State University, Blacksburg, VA
Nathan Conklin	Virginia Polytechnic Institute and State University, Blacksburg, VA
Kiran Indukuri	Virginia Polytechnic Institute and State University, Blacksburg, VA
Varun Saini	Virginia Polytechnic Institute and State University, Blacksburg, VA
Qiang Yu	Virginia Polytechnic Institute and State University, Blacksburg, VA

Sponsors

ACM: Association for Computing Machinery
SIGCHI: ACM Special Interest Group on Computer-Human Interaction

Publisher

ACM New York, NY, USA

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Downloads (6 Weeks): 4, Downloads (12 Months): 21, Citation Count: 1

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ABSTRACT

Fusion is a web-based system that enables end-users to rapidly and dynamically construct personalized visualization workspaces without programming. Users first use advanced data schemas to link diverse data sources. Then they use visualization schemas to coordinate visualization components and data-mining algorithms according to the unique needs of their data and tasks. They create a custom interactive visualization workspace that can be published on the web. This is accomplished through the Fusion model and user interface that is based on schema concepts that are easy to learn and simple to use.

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	Michelle Q. Wang Baldonado , Allison Woodruff , Allan Kuchinsky, Guidelines for using multiple views in information visualization, Proceedings of the working conference on Advanced visual interfaces, p.110-119, May 2000, Palermo, Italy [doi>10.1145/345513.345271]
	2	M. Derthick , S. F. Roth , J. Kolojejchick, Coordinating declarative queries with a direct manipulation data exploration environment, Proceedings of the 1997 IEEE Symposium on Information Visualization (InfoVis '97), p.65, October 18-25, 1997
	3	Heath, L., Ramakrishnan, N., Sederoff, R., Whetten, R., Chevone, B., Struble, C., Jouenne, V., Chen, D., van Zyl, L., Grene, R., Studying the Functional Genomics of Stress Responses in Loblolly Pine using the Expresso Microarray Management System, Comparative and Functional Genomics, 3, pg. 226--243, (2002).
	4	Chris North , Nathan Conklin , Varun Saini, Visualization Schemas for Flexible Information Visualization, Proceedings of the IEEE Symposium on Information Visualization (InfoVis'02), p.15, October 28-29, 2002
	5	Ben Shneiderman, Inventing discovery tools: combining information visualization with data mining, Information Visualization, v.1 n.1, p.5-12, March 2002 [doi>10.1057/palgrave/ivs/9500006]