CFP

Third SIAM International Conference on Data Mining (2003) Cathedral Hill Hotel, San Francisco, CA, May 1-3, 2003 URL: http://www.siam.org/meetings/sdm03/

Advances in information technology and data collection methods have led to the availability of large data sets in commercial enterprises and in a wide variety of scientific and engineering disciplines. We have an unprecedented opportunity to analyze this data and extract intelligent and useful information from it. The field of data mining draws upon extensive work in areas such as statistics, machine learning, pattern recognition, databases, and high performance computing to discover interesting and previously unknown information in data.

This conference will provide a forum for the presentation of recent results in data mining, including applications, algorithms, software, and systems. There will be peer reviewed, contributed papers as well as invited talks, tutorials and a panel. Best paper awards will be given for papers in different categories. Proceedings of the conference will be available both online at the SIAM Web site and in hard copy form. In addition, several workshops on topics of current interest will be held on the final day of the conference.

TOPICS OF INTEREST: -------------------

Methods and Algorithms:

Query/constraint-based data mining Probabilistic/statistical methods Mining spatial, temporal and heterogeneous data Trend and periodicity analysis Parallel/distributed/agent techniques Scalable algorithms Integration: mining, warehousing and OLAP Mining of data streams Data reduction/pre-processing Feature extraction and selection Post-processing Collaborative filtering/personalization Cost-based decision making Visual data mining

Applications:

Intelligence analysis Genomics, bioinformatics and biometrics Medical and health industry Text, video, and multi-media mining E-commerce and web data Financial data analysis Intrusion detection Remote sensing and earth sciences Astronomy Non-destructive evaluation Case studies / benchmarks Novel applications

Human Factors and Social Issues:

Languages/user interface for data mining Security / privacy of information Intellectual ownership Risk analysis

STEERING COMMITTEE: ------------------- V. Kumar, Chair, AHPCRC, University of Minnesota S. Ashby, Lawrence Livermore National Laboratory U. Dayal, Hewlett-Packard Laboratories U. Fayyad, Digimine R. Grossman, Magnify, Inc. & University of Illinios at Chicago J. Han, Simon Fraser University D. Hand, Imperial College, UK H. Mannila, Nokia Research, Finland T. Mitchell, Carnegie Mellon University A. Odlyzko, Digital Technology Center, University of Minnesota N. Radhakrishnan, Army Research Laboratory J. Ullman, Stanford University

CONFERENCE CO-CHAIRS: --------------------- Michael Berry, University of Tennessee Rajeev Rastogi, Bell Labs, Lucent Technology

PROGRAM CHAIRS: --------------- Daniel Barbara, George Mason University Chandrika Kamath, Lawrence Livermore National Laboratory

TUTORIAL CHAIR: --------------- Joydeep Ghosh, University of Texas

WORKSHOP CHAIR: --------------- Hillol Kargupta, University of Maryland, Baltimore County

PUBLICITY CHAIR: ---------------- Aleksandar Lazarevic, AHPCRC, University of Minnesota

SPONSORSHIP CHAIR: ------------------ Mohammed Zaki, Rensselaer Polytechnic Institute

IMPORTANT DATES: ----------------

Paper Due Date: October 1, 2002 Author Notification: January 3, 2003 Camera-ready Version Due Date: January 24, 2003

SUBMISSION GUIDELINES: ---------------------- Submitted papers should not be in consideration by any another conference with a published proceeding or by a journal. The work may be either theoretical or applied, but should make a significant contribution to the field. The papers should have a maximum of 15 pages (single-spaced, 11 point font, and at least 1 inch margin on each side) not counting the title page and references, but including tables and figures. Please use US Letter (8.5 x 11) paper size. Papers must have a keyword list with no more than 6 keywords and an abstract with a maximum of 250 words.

Authors are strongly encouraged to submit their papers electronically in PDF, or PostScript format. For MS Word users, please convert your document to the PDF format.

Conference Contact: sdm2003@cs.umn.edu

------------------------------------------------------------------- Conference Co-sponsored by Army High Performance Computing Research Center and Laboratory for Advanced Computing at the University of Illinois at Chicago