Access the full text.
Sign up today, get DeepDyve free for 14 days.
Loading next page...
/lp/association-for-computing-machinery/introduction-to-the-special-issue-on-visual-analytics-and-knowledge-VWOW44L8yC
References (7)
-
D. Keim (2002)
Information Visualization and Visual Data MiningIEEE Trans. Vis. Comput. Graph., 8
-
K. Puolamäki, H. Mannila, A. Bertone, S. Miksch (2009)
Proceedings of the ACM SIGKDD Workshop on Visual Analytics and Knowledge Discovery: Integrating Automated Analysis with Interactive Exploration, Paris, France, June 28, 2009 -
B. Shneiderman (1996)
The eyes have it: a task by data type taxonomy for information visualizationsProceedings 1996 IEEE Symposium on Visual Languages
-
D. Keim, Florian Mansmann, Jörn Schneidewind, H. Ziegler (2006)
Challenges in Visual Data AnalysisTenth International Conference on Information Visualisation (IV'06)
-
James Thomas, Kristin Cook (2005)
Illuminating the Path: The Research and Development Agenda for Visual Analytics -
W. Thomas, F. Campbell (2005)
Runaway pacemaker in a dog.Journal of veterinary internal medicine, 19 6
-
G. Grinstein, C. Plaisant, S. Laskowski, T. O'Connell, J. Scholtz, M. Whiting (2008)
VAST 2008 Challenge: Introducing mini-challenges2008 IEEE Symposium on Visual Analytics Science and Technology
- Publisher
- Association for Computing Machinery
- Copyright
- The ACM Portal is published by the Association for Computing Machinery. Copyright © 2010 ACM, Inc.
- ISSN
- 1931-0145
- DOI
- 10.1145/1809400.1809402
- Publisher site
- See Article on Publisher Site
Abstract
The papers in this Special Issue present the state of the art in Visual Analytics and Knowledge Discovery and Data Mining (KDD), as well as propose potential extensions and research questions to further advance and integrate these two fields.
Journal
ACM SIGKDD Explorations Newsletter – Association for Computing Machinery
Published: May 27, 2010