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.
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