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Data visualization deals with the effective portrayal of data with a goal
towards insight about the data. Typically, the data is of high volume,
multidimensional in nature, and does not lend itself to easy display. The
data is also often non-spatial and temporal in nature.
Data visualization software systems are very popular with end-user domain
scientists who require visual tools to explore and analyze their data.
These visual tools however are used strictly as output of the exploration
process and have received much attention whereas the input issues to the
exploration process still have not. The KDD community is concerned with two
aspects of visualization techniques: 1. its use at the "back-end" of the
exploration process to help understand models extracted by data mining
algorithms, and 2. scalability issues in visualization: how do we make it
efficient in presence context of large databases where data access is
expensive. The visualization community looks at KDD and analytic methods
also as applications to generate displays. However visualization can be
used as input to KDD and analytic tools; it can also be used to support
computational steering. An effective visualization front-end can guide a
data mining algorithm in its search and may result in much better and more
easily acceptable solutions. This workshop will continue the discussions
started at the first two workshops and focus on these and other issues that
make a case for integrating KDD and visualization technologies.
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The Workshop will be held at the
Newport Beach Marriott Hotel and Tennis Club, Newport Beach, California,
Sunday, August 17, 1997, from 8.30am to 5.00pm.
The last day of the conference (August 17) will consist entirely
of the Workshop.
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The 1997 Workshop on Issues in the Integration of Data Mining and
Data Visualization is sponsored by the American Association for Artificial
Intelligence (AAAI).
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Two previous workshops (Siggraph '90 and Visualization '91) have dealt with
areas such as high-level requirements for data structures and access
software, and data visualization environments. The first and second
workshop on Database Issues for Data Visualization were held in 1993 and
1995 and explored the fundamental issues. A number of experimental,
prototype, and research systems were presented. The second workshop also
saw a beginning interest with data mining and visualization integration.
This trend, so significant in the commercial sector today, is in its
infancy and is in need of much research attention.
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Position statements and papers are welcome on the following issues as they
relate to KDD and data visualization integration. We would like to keep
discussions focused on the end result, which is improving the integration
of data mining and knowledge discovery systems with visualization:
Requirements Visualization places on Knowledge Discovery Systems
Data Models and Access Structures
Modeling the User - Tasks, Processes, Support Issues
Advanced User Interfaces for Data Mining
Visual Languages for Data Mining
System Integration Issues
Computational Steering for Data Mining
Scalability to Large Databases
Distributed, Heterogeneous Data Set Issues - Data and Computation Sharing
Examples of Integrated Systems
Applications of Integrated Systems
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Papers (and position papers to be expanded for final publication) are
solicited that present research results in the integration of data mining
and visualization. The deadline for submission is June 15, 1997.
Papers should be limited to 5,000 words and may be
accompanied by NTSC video. These should describe some original research on
the particular subject, and how it fits in with the overall theme of the
workshop. Proper references should be cited.
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Registration forms will be sent to the accepted participants. There is a
single registration fee of US $100 which covers the workshop sessions,
preprints, and coffee breaks.
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Georges Grinstein
Institute for Visualization and Perception Research
University of Massachusetts at Lowell
Lowell, MA 01854, USA
Email: grinstein@cs.uml.edu
Fax: +1-508-934-3551
Phone: +1-508-934-3627
Andreas Wierse
Institute for Computer Applications
Dep. Computersimulation and Visualization
Pfaffenwaldring 27
D-70550 Stuttgart, Germany
Email:
wierse@rus.uni-stuttgart.de
Fax: +49(0)711-682357
Phone: +49-711-685-5796
Usama Fayyad
Microsoft Research
Redmond, WA 98052-6399, USA
Email: fayyad@microsoft.com
Fax: +1-206-936-7329
Phone +1-206-703-1528
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More details are available at
http://www.cs.uml.edu/~grinstei/kddvis-workshop.html
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