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Mining Scientific Datasets Workshop |
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Keynote speaker and Director of the Corporate Information and Computing Directorate
of the Army Research Laboratory, N. Radhakrishnan (left), prepares for his talk with Vipin Kumar
(right), Director of the University of Minnesota Army High Performance Computing Research
Center.
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Due to advances in informational technology and high performance computing, very large datasets are
becoming available in many scientific disciplines. The rate of production of such datasets far
outstrips the ability to analyze them manually. For example, a computational simulation running on
state of the art high performance computers can generate terabytes of data within a few hours, whereas
human analysts may take several weeks or longer to analyze and discover useful information from these
datasets. Currently, there is increasing interest in scientific communities in exploring the use of
emerging data mining techniques to analyze these large datasets.
With this in mind, a day-and-a-half workshop on Mining Scientific Datasets was held at Army High
Performance Computing Research Center (AHPCRC) at the University of Minnesota. This workshop was
sponsored by the AHPCRC and the Supercomputing Institute and was organized by Chandrika Kamath,
Lawrence Livermore National Laboratory, W. Philip Kegelmeyer, Sandia National Laboratory,
Vipin Kumar, University of Minnesota, and Raju Namburu, Army Research Laboratory.
The workshop began with a keynote speech by Dr. N. Radhakrishnan, Director of the Corporate
Information and Computing Directorate of the Army Research Laboratory. His overview of data mining
set the stage for the workshop and stressed the need for techniques that help convert the
masses of data into knowledge.
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The thirty talks that followed addressed data mining techniques and the data
analysis needs of scientific applications.
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Invited speakers included:
- Ramesh Agarwal, IBM Corporation
- Ed Boucheron, Sandia National Laboratory
- Leo Breiman, University of California at Berkeley
- Judy Bundy, Center for Army Analysis
- Michael Burl, Jet Propulsion Laboratory
- Graham Candler, University of Minnesota
- Gail Carpenter, Boston University
- Alok Choudhary, Northwestern University
- Vasant Dhar, New York University
- Inderjit Dillon, University of Texas at Austin
- Tarek El-Ghazawi, George Mason University
- Sean Garrick, University of Minnesota
- Yike Guo, Imperial College of Science, Technology, and Medicine
- Ananth Grama, Purdue University
- Robert Grossman, University of Illinois at Chicago
- Robert Hollebeek, University of Pennsylvania
- Roberta Humphreys, University of Minnesota
- Laveen Kanal, LNK Corporation
- Philip Kegelmeyer, Sandia National Laboratory
- George Karypis, University of Minnesota
- Raghu Machiraju, Mississippi State University
- Ivan Marusic, University of Minnesota
- Naren Ramakrishnan, Virginia Tech
- Kyuseok Shim, Bell Laboratories
- David Skillicorn, Queens University
- R. Srikanth, Clark Atlanta University
- Jaideep Srivastava, University of Minnesota
- Gene Voelker, Sandia National Laboratory
- Michael Welge, University of Illinois at Urbana
- Mohammed Zaki, Rensselaer Polytechnic Institute
This workshop brought together researchers from data mining as well as researchers from scientific
communities interested in exploring data mining techniques for analyzing large scale datasets arising
in their respective disciplines.
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Margaret Chalkline (left) of the Minnesota Department of Transportation speaks with
Roberta Humphreys (right) of the University of Minnesota Department of Astronomy.
Alok Choudhary (left) of Northwestern University discusses the workshop program with
Ramesh Agarwal (right) of IBM. |
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