Co-Sponsored by the American Statistical Association (ASA)

Best Paper Award

Clustering With Constraints: Feasibility Issues and the k -Means

Ian Davidson and S. S. Ravi

about the conference

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 and tutorials. Best paper awards will be given 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.


Methods and Algorithms

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


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, earth sciences, and astronomy
Sensor networks and grid data mining
Case studies / benchmarks
Novel applications

Human Factors and Social Issues

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

Conference Organizing Committee

conference co-chairs

Chandrika Kamath, Lawrence Livermore National Laboratory
Arnold Goodman, University of California, Irvine

program co-chair

Hillol Kargupta, University of Maryland, Baltimore County
Jaideep Srivastava, University of Minnesota

steering committee

Vipin Kumar, Chair, AHPCRC, University of Minnesota
Steven Ashby, Lawrence Livermore National Laboratory
Umeshwar Dayal, Hewlett-Packard Laboratories
Usama Fayyad, Digimine
Robert Grossman, University of Illinios, Chicago
Jiawei Han, Univ. of Illinois, Urbana-Champaign
David Hand, Imperial College, United Kingdom
Heikki Mannila, Helsinki University of Technology
Tom Mitchell, Carnegie Melon University
Andrew Odlyzko, DTC, University of Minnesota
N. Radhakrishnan, NCAT
Jeffrey Ullman, Stanford University

tutorial chair

Eamonn Keogh, University of California, Riverside

workshop chair

Bing Liu, University of Illinois, Chicago
Ke Wang, Simon Fraser University

publicity chair

Philip Chan, Florida Institute of Technology
Daniel Keim, University of Konstanz (Europe)
Kyuseok Shim, Seoul National University (Asia/Pacific Region)

sponsorship chair

Osmar Zaiane, University of Alberta

awards chair

Philip S. Yu, IBM T.J. Watson Research Center

statistics and data mining session co-chairs

Amy Braverman, JPL
Mike Turmon, JPL

industrial & government session co-chairs

Mehran Sahami, Google Inc., and Stanford University
Ashok Srivastava, NASA Ames Research Center

Vice Chairs

Chid Apte,  IBM T.J. Watson Research Center
Joydeep Ghosh, University of Texas at Austin
Diane Lambert, Bell Labs, Lucent
Lim Ee Peng, Nanyang Technological University
Sanjay Ranka, University of Florida
Jude Shavlik, University of Wisconsin Madison
Domenico Talia,  University of Calabria
Ramaswamy Uthurusamy, General Motors Corporation
Rebecca Wright, Stevens Institute of Technology

Program Committee

Deepak K. Agarwal, AT&T, Shannon Laboratory
Gagan Agarwal, Ohio State University
Jesus S. Aguilar-Ruiz, University of Seville
Mihael Ankerst, The Boeing Company
Roberto J. Bayardo, IBM Almaden Research Center
Michael Berry, University of Tennessee
Michael Berthold, Tripos
Barry A. Bodt, Army Research Lab
Daniel Boley, University of Minnesota
Jean-Francois Boulicaut, INSA Lyon
Carla E. Brodley, Purdue University
Michael Burl, University of Colorado
Ming-Syan Chen, National Taiwan University
Alok Choudhary, Northwestern University
Chris Clifton, Purdue University
Robert Cooley, KXEN
Dennis Cox, Rice University
Luc De Raedt, Albert-Ludwigs-University, Freiburg
Tamraparni Dasu, AT&T Laboratories - Research
Umeshwar Dayal, Hewlett-Packard Laboratories
Inderjit S. Dhillon, University of Texas Austin
Chris Ding, Lawrence Berkeley Laboratory
Wenliang Du, Syracuse University
Pradeep Dubey, Intel Research
Charles Elkan, University of California, San Diego
Floriana Esposito, Universita' di Bari
Wei Fan, IBM T.J. Watson Research Center
Ronen Feldman, Bar-Ilan University
Peter A. Flach, University of Bristol
Minos Garofalakis, Bell Laboratories
Johannes Gehrke, Cornell University
Christopher Giannella, University of Maryland, Baltimore County
Ananth Grama, Purdue University
Marko Grobelnik, J. Stefan Institute
Robert Grossman, University of Illinois, Chicago
Valerie Guralnik, Honeywell Inc.
Peter Hammer, Rutgers University
San-Yih Hwang, National Sun-yak Sen Univerity
George Karypis, University of Minnesota
Kevin Knuth, NASA, Ames Research Center
Jacob Kogan, University of Maryland Baltimore County
Raghu Krishnapuram, IBM Delhi
Aleksander Lazarevic, University of Minnesota
Ee-peng Lim, Nan Yang Technological University
Huan Liu, Arizona State University
Xiwu Lin, GlaxoSmithKline
Yi Lin, University of Wisconsin
Sheng Ma, IBM T.J. Watson Research Center
Micheal May, Fraunhofer Institute for Autonomous Intelligent Systems
Vasileios Megalooikonomou, Temple University
Sharad Mehrotra, University of California, Irvine
Marina Meila, University of Washinton
Nina Mishra, HP Labs
Dharmendra S. Modha, IBM T.J. Watson Research Center
Katharina Morik, University of Dortmund
Rajeev Motwani, Stanford University
S. Muthu Muthukrishnan, Rutgers University and AT&T Research
Olfa Nasraoui, University of Memphis
Shawn Newsam, Lawrence Livermore National Laboratory
Zoran Obradovic, Temple University
Byung-Hoon Park, Oak Ridge National Laboratory
Haesun Park, University of Minnesota
Srinivasan Parthasarathy, Ohio State University
Raymond A. Paul, US Army
Dino Pedreschi, University di Pisa
Jian Pei, State University of New York, Buffalo
Raghu Ramakrishnan, University of Wisconsin-Madison
Bharat Rao, Siemens Medical
Rajeev Rastogi, Bell Laboratories
Greg Ridgeway, RAND Corporation
Saharon Rosset, IBM T.J. Watson Research Center
Peter Scheuermann, North Western University
Assaf Schuster, TECHNION - Israel Institute of Technology
Shashi Shekhar, University of Minnesota
Xiaotong Shen, Ohio State University
Arno Siebes, Universiteit Utrecht
Anoop Singhal, George Mason University
Krishnamoorthy Sivakumar, Washington State University
David Skillicorn, Queen's University
Myra Spiliopoulou, Otto-von-Guericke-Universitaet Magdeburg
Werner Stuetzle, University of Washington
El-ghazali Talbi, University des Sciences et Technologies de Lille
Domenico Talia, University of Calabria
Hannu Toivonen, University of Helsinki
Shusaku Tsumoto, Shimane Medical University
Benjamin W. Wah, University of Illinois, Urbana-Champaign
Haixun Wang, IBM T.J. Watson Research Center
Yuedong Wang, University of California, Santa Barbara
Geoffrey I. Webb. Monash University
Xindong Wu, University of Vermont
Bin Yu, University of California, Berkeley
Philip S. Yu, IBM T.J. Watson Research Center
Mohammed J. Zaki, Rensselaer Polytechnic Institute

funding agency

SIAM and the Conference Organizing Committee wish to extend their thanks and appreciation to Lawrence Livermore National Laboratory for its support of this conference.


Last Edited: 3/24/05
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