Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/1865841.1865862acmotherconferencesArticle/Chapter ViewAbstractPublication PagesvinciConference Proceedingsconference-collections
research-article

Interactive visualization with user perspective: a new concept

Published: 28 September 2010 Publication History
  • Get Citation Alerts
  • Abstract

    With an astonishing amount of data generated for processing on a daily basic, it is essential to provide an effective methodology for understanding, reasoning and supporting decision making of large information spaces. This paper presents a new concept that provides an intelligent and interactive visualization in supporting large scale analysis. This aims to provide a much greater flexibility and control for the users to interactively customize the visualizations according to their preferences. A simple prototype is also presented to demonstrate the concept on hierarchical structures.

    References

    [1]
    }}Newman, M. Watts, D., Barabási A.-L. 2006. The Structure and Dynamics of Networks, Princeton University Press.
    [2]
    }}Thomas, J. J., Cook, K. A. 2005. Illuminating the Path. IEEE Computer Society Press, Los Alamitos.
    [3]
    }}Ankerst, M. 2000. Visual Data Mining. PhD Thesis, der Ludwig-Maximilians-Universität München, Berlin.
    [4]
    }}Ma, K. L. 2007. Machine Learning to Boost the Next Generation of Visualization Technology. IEEE Computer Graphics and Applications, 2007, pp. 6--9.
    [5]
    }}Garg S., Nam J. E., Ramakrishnan I. V., Mueller K. 2008. Model-Driven Visual Analytics. In Proc. IEEE Symposium on Visual Analytics Science and Technology, Columbus, Ohio, pp. 19--26.
    [6]
    }}Fuchs R., Waser J., Groller M. E. 2009. Visual Human + Machine Learning. IEEE Trans. On Visualization and Computer Graphics, 15(6), 2009, pp. 1327--1334.
    [7]
    }}Tatu A., Albuquerque G., Eisemann M., Schneidewind J., Theisel H., Magnor M. Keim D. 2009. Combining Automated Analysis and Visualization Techniques for Effective Exploration of High-Dimensional Data. In Proc. IEEE Symposium on Visual Analytics Science and Technology, Atlantic City, New Jersey, pp. 59--66.
    [8]
    }}Green T. M., Ribarsky W., Fisher B. 2008. Visual Analytics for Complex Concepts Using a Human Cognition Model. In Proc. IEEE Symposium on Visual Analytics Science and Technology, Columbus, Ohio, pp. 91--98.
    [9]
    }}Bier E. A., Card S. K., Bodnar J. W. 2008. Entity-Based Collaboration Tools for Intelligence Analysis. In Proc. IEEE Symposium on Visual Analytics Science and Technology, Columbus, Ohio, pp. 99--106.
    [10]
    }}Simoff, S., Bohlen, M. and Mazeika, A. (eds) 2008. Visual Data Mining: Theory, Techniques and Tools for Visual Analytics, Springer, Heidelberg.
    [11]
    }}Dwyer T., Lee B. Fisher D., Quinn K. I., Isenberg P., Robertson G., North C. 2009. A Comparison of User-Generated and Automated Graph Layouts. IEEE Trans. On Visualization and Computer Graphics, 15(6), pp. 961--968.

    Cited By

    View all
    • (2014)Visualizing large hierarchies with drawer treesProceedings of the 29th Annual ACM Symposium on Applied Computing10.1145/2554850.2554870(951-956)Online publication date: 24-Mar-2014
    • (2012)A novel 3D interactive visualization for medical data analysisProceedings of the 24th Australian Computer-Human Interaction Conference10.1145/2414536.2414539(19-25)Online publication date: 26-Nov-2012

    Index Terms

    1. Interactive visualization with user perspective: a new concept

      Recommendations

      Comments

      Information & Contributors

      Information

      Published In

      cover image ACM Other conferences
      VINCI '10: Proceedings of the 3rd International Symposium on Visual Information Communication
      September 2010
      149 pages
      ISBN:9781450304368
      DOI:10.1145/1865841
      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]

      Sponsors

      • Institute of Software, Chinese Academy of Sciences
      • ACM SIGCHI CHINA
      • CCF: China Computer Federation

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 28 September 2010

      Permissions

      Request permissions for this article.

      Check for updates

      Author Tags

      1. hierarchical data
      2. intelligence
      3. interactive visualization
      4. visual analytics
      5. visualization model

      Qualifiers

      • Research-article

      Conference

      VINCI '10
      Sponsor:
      • CCF

      Acceptance Rates

      Overall Acceptance Rate 71 of 193 submissions, 37%

      Contributors

      Other Metrics

      Bibliometrics & Citations

      Bibliometrics

      Article Metrics

      • Downloads (Last 12 months)6
      • Downloads (Last 6 weeks)0

      Other Metrics

      Citations

      Cited By

      View all
      • (2014)Visualizing large hierarchies with drawer treesProceedings of the 29th Annual ACM Symposium on Applied Computing10.1145/2554850.2554870(951-956)Online publication date: 24-Mar-2014
      • (2012)A novel 3D interactive visualization for medical data analysisProceedings of the 24th Australian Computer-Human Interaction Conference10.1145/2414536.2414539(19-25)Online publication date: 26-Nov-2012

      View Options

      Get Access

      Login options

      View options

      PDF

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader

      Media

      Figures

      Other

      Tables

      Share

      Share

      Share this Publication link

      Share on social media