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Interactive data exploration and knowledge discovery

Published: 26 May 2010 Publication History

Abstract

People have always relied on visual tools such as maps, charts and diagrams to better understand problems and solve them in less time. Continuous improvements in computer processing power and graphics capabilities have made it possible to incorporate a wide range of advanced visualization techniques in most computing application domains, including business, medicine, engineering and science.

References

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van Dam, A., Laidlaw, D. H., Simpson, R. M. 2002 Experiments in Immersive Virtual Reality for Scientific Visualization, IEEE Computer and Graphics, 26 (4), 535--555
[2]
Jonhson, C. 2004 Top Scientific Visualization Research Problems, IEEE Computer Graphics and Applications, 4, 13--17.
[3]
Martens, J. B. 2004 Image Technology Design - A Perceptual Approach, Kluwer Academic Publishers
[4]
Oviatt, S., Darrel, T. Flickner, M. 2004 Multimodal Interfaces that Flex, Adapt, and Persist, Communications of ACM (January 2004), 30--33.
[5]
Shneiderman, B. 2003 Why Not Make Interface Better than 3D Reality? IEEE Computer Graphics and Applications, 23(6), 12--15.
[6]
Spence, R. 2000 Information Visualisation, ACM Press.
[7]
Zudilova-Seinstra, E. V., Adriaansen, T., van Liere, R. 2009 Trends in Interactive Visualization, State-of-the-Art Survey, in series Advanced Information and Knowledge Processing, Springer.
[8]
The AVI 2010 Workshop on Interactive Data Exploration and Knowledge Discovery website: http://staff.science.uva.nl/~elenaz/AVI2010/

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  • (2023)User Experience for Non-Expert Audiences in Data ExplorationProceedings of the 11th International Conference on Communities and Technologies10.1145/3593743.3593750(12-16)Online publication date: 29-May-2023
  1. Interactive data exploration and knowledge discovery

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    cover image ACM Other conferences
    AVI '10: Proceedings of the International Conference on Advanced Visual Interfaces
    May 2010
    427 pages
    ISBN:9781450300766
    DOI:10.1145/1842993
    • Editor:
    • Giuseppe Santucci
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 26 May 2010

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    • (2023)User Experience for Non-Expert Audiences in Data ExplorationProceedings of the 11th International Conference on Communities and Technologies10.1145/3593743.3593750(12-16)Online publication date: 29-May-2023

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