Proceedings of the 2005 SIAM International Conference on Data Mining
Message from the Conference Co-Chairs
The Fifth SIAM International Conference on Data Mining continues the tradition
of providing an open
forum for the presentation and discussion of innovative algorithms as well
as novel applications of data
mining. This is reflected in the talks by the four keynote speakers, who will
discuss a diverse set of topics
from models for customer-based analysis (Peter S. Fader), through embedded
sensor networks (Mark
Hansen) and the practice of cluster analysis (Jon R. Kettenring), to visual
data mining (Edward J.
Wegman).
In addition to the keynote talks, the conference also features two tutorials
and six workshops on a
range of subjects. The tutorials will provide the participants an in-depth
exposition on segmentation
algorithms for time series data and pattern discovery in biosequences. The
workshops are a forum for
discussing new ideas, brainstorming on work in progress, and identifying new
algorithms and
application areas for data mining. The workshops this year include several
traditional favorites as well as
a couple of new ones. The topics of the workshops are data mining in sensor
networks; feature
selection for data mining; clustering high-dimensional data and its applications;
link analysis, counterterrorism,
and security; high-performance and distributed mining; and mining scientific
and engineering
datasets. These workshops and tutorials, in addition to the papers and the
poster session, provide an
exciting environment in which the participants can interact with each other.
This year, we also have two special sessions. The first, on industrial and
government applications, is being
organized by Mehran Sahami and Ashok Srivastava; it builds on the success of
a similar session last year.
The second, organized by Amy Braverman and Michael Turmon, is on statistics
and data mining; it
underlines the connections between the two fields and provides a venue for
the practitioners of each
to exchange ideas.
We would like to thank the entire organizing committee for the terrific job
they have done in putting
together a strong technical program: Hillol Kargupta and Jaideep Srivastava
for assembling a wellrounded
program committee and for overseeing the paper selection process; Philip Yu
and his team for
selecting the best papers; Eamonn Keogh for soliciting and assembling a top-notch
tutorial program;
Bing Liu and Ke Wang for selecting workshops on a diverse range of subjects,
all of current interest;
Osmar Zaiane for identifying sponsors for the conference; and finally, the
international publicity team of
Philip Chan, Daniel Keim, and Kyuseok Shim for their tireless efforts in publicizing
the conference.
We would like to acknowledge our sponsor, the Center for Applied Scientific
Computing at the
Lawrence Livermore National Laboratory, for its generous support, in particular
the funding of student
travel grants. This conference is being co-sponsored by the American Statistical
Association; we hope
that this will lead to greater collaboration between the two communities.
Finally, we thank the authors and the participants who are the primary reason
for the success of the
conference. We hope you all enjoy the conference!
Chandrika Kamath and Arnold Goodman, Conference Co-Chairs
Vipin Kumar, Steering Committee Chair
