Proceedings of the 2003 SIAM International Conference on Data Mining
Cathedral Hill Hotel, San Francisco, CA
May 1-3, 2003
The Third SIAM International Conference on Data Mining continues the tradition of providing an open forum for the presentation, discussion, and development of innovative algorithms, software, and theories for data mining applications and data intensive computation. This year's invited speakers will highlight new trends in algorithm development, discuss new trends and challenges for data mining from an industrial perspective, reveal important issues in both the monitoring and mining of network data streams, and expose important mathematical and computational problems that arise in protecting privacy during transactional database mining and analysis.
In addition to the invited talks, the conference will also feature 6 workshops and 4 tutorials on a broad set of subjects. The workshops will serve as a forum to brainstorm new ideas in the areas of high-performance data stream mining, application of techniques from discrete mathematics to data mining problems, systems and algorithms capable of mining textual data, scientific data mining, data mining for counter-terrorism and security, and clustering schemes for high-dimensional data that avoid the curse of dimensionality. Of the workshops, the one on counter-terrorism and security is being held for the first time, and is particularly relevant in light of the tragedy of September 11, to pro-actively detect and prevent further terrorist activity. We expect that this workshop will shed light on ways in which data mining and machine learning can be used to analyze data from numerous heterogeneous data sources such as text, internet, video, audio, biometrics and speech. We have an equally exciting tutorial program this year where well-known speakers will cover data mining issues in the real world, as well as provide an overview of scientific, relational and visual data mining techniques. We are also excited to have a poster session this year as well as minisymposiums on statistics and data mining.
We like to thank the entire organizing committee for the tremendous job they've done in putting together such a strong technical program; Daniel Barbara and Chandrika Kamath for assembling a highly accomplished program committee and diligently overseeing the entire conference paper selection process, Joydeep Ghosh for doing a superb job of soliciting and assembling a top-notch tutorial program; Hillol Kargupta for organizing workshops on such a wide range of interesting topics; Alexander Lazarevic for effectively publicizing the conference at countless venues; and Mohammed Zaki for relentlessly pursuing sponsors for the conference. We are also very grateful to all of our sponsors, without whose support this conference would not have been possible.
Michael W. Berry and Rajeev Rastogi, Conference Co-chairs
Vipin Kumar, Steering Committee Chair