DIMACS Workshop on Visualization and Data Mining
October 24 - 25, 2002
DIMACS Center, Rutgers University, Piscataway NJ, 08854-8018
- Organizers:
- Emden Gansner, AT&T, erg@research.att.com
- Claudio Silva, Oregon Health & Science University, csilva@cse.ogi.edu
Presented under the auspices of the Special Focus on Data Analysis and Mining.
Visualization focuses on creating insightful visual representations of
complex data. In the context of data mining, visualization provides
another tool for creating abstraction, and discerning patterns and
structure in seemingly undifferentiated data, allowing human
perception to aggregate and analyze the data. By its nature, a visual
approach can provide a visceral factor which can be compelling as well
as merely aesthetic. In certain domains, such as biotechnology, where
some data has a physical existence, visualization can provide a
connection between this data and related abstract data, and the areas
of information and scientific visualization overlap. The increasing
analysis of hybrid data, along with the growing size of data sets,
will require imaginative new models and techniques for visualization.
Scope and Format:
This workshop aims to bring together people from the different
research communities interested in the interplay of visualization and
data mining and exploration, including people in scientific and
information visualization, databases, information retrieval, and
application areas. The goal is to help establish relationships which
can be used to strengthen and foster collaboration across the
different areas. The hope is to identify key research issues that need
to be addressed, especially those related to visualization of large
graphs and non-traditional graph models. The workshop will address
core algorithmic issues as well as aspects of modeling and the use of
graphs in data exploration.
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Document last modified on August 20, 2002.