Co-sponsored by Lawrence Livermore National Laboratory

newOnline Conference Proceedings are available!

Best Paper Awards

Research: A Latent Dirichlet Model for Unsupervised Entity Resolution
Authors: Indrajit Bhattacharya, Lise Getoor

Application: Mining for Outliers in Sequential Databases
Authors: Pei Sun, Sanjay Chawla and Bavani Arunasalam

REGISTER NOW! Conference Registration extended 3/30/06! CLOSED!

About the Conference

Data mining is becoming an important tool in science, engineering, industrial processes, healthcare, and medicine. The datasets in these fields are large, complex, and often noisy. Extracting knowledge requires the use of sophisticated, high-performance and principled analysis techniques and algorithms, based on sound statistical foundations. These techniques in turn require powerful visualization technologies; implementations that must be carefully tuned for performance; software systems that are usable by scientists, engineers, and physicians as well as researchers; and infrastructures that support them.

This conference provides a venue for researchers who are addressing these problems to present their work in a peer-reviewed forum. It also provides an ideal setting for graduate students, and others new to the field, to learn about cutting-edge research by hearing outstanding invited speakers and attending tutorials (included with conference registration). A set of focused workshops are also held on the last day of the conference. The proceedings of the conference are published in archival form, and are also made available on the SIAM web site.

Topics of Interest (not exclusive):

Methods and algorithms:

Classification
Clustering
Probabilistic and Statistical Methods
Spatial and Temporal Mining
Data streams
Abnormalities and Outlier Detection
Attribute Selection
Mining with Constraints
Data Cleaning and Noise Reduction
Computational Learning Theory
Visual Mining
Scalable and High-Performance Mining
Graph Clustering
Error Minimization
Mining Semistructured Data
Mining Complex Datasets

Applications:

Astronomy & Astrophysics
High Energy Physics
Collaborative Filtering
Earth Sciences
Finance
Genomics and Bioinformatics
Drug Discovery
Healthcare Management
Industrial Automation & Process Control
Logistics Management
Cybersecurity & Intrusion Detection
Intelligence Analysis
Sensor Network Applications
Social Network Analysis
Text Mining, Topic Detection, Search
Application Benchmarks
Detailed Application Case Studies
Novel Applications

Human Factors and Social Issues:

Ethics of Data Mining
Intellectual Ownership
Privacy Models
Privacy Preservation Techniques
Risk Analysis
User Interfaces
Data and Result Visualization

Organizing Committee:

Conference Co-Chairs:
Jaideep Srivastava, University of Minnesota
David Skillicorn, Queen’s University

Program Co-Chairs:
Joydeep Ghosh, Univesity of Texas
Diane Lambert, Google

Vice Chairs:
Amy Braverman
Michael Burl
Charles Elkan
Johannes Gehrke
Daniel Keim
Zoran Obradovic
Srini Parthasarathy
Greg Ridgeway
Philip Yu

Stat Session and Data Mining Chairs:
Ed Wegman, George Mason

Industrial/Government Session Chairs:
Rita Doerr, Department of Defense
Dan Doney, Strategic Enterprise Solutions, Inc.

Publicity Chair:
Ian Davidson, SUNY Albany (North America)
Massimo Coppola, Universita di Pisa (Europe)
Simeon Simoff, University of Technology Sydney (Asia)

Workshop Chair:
Srinivasan Parthasarathy, Ohio State

Tutorial Chair:
Huan Liu, Arizona

Best Paper Awards Chair:
TBD

Program Committee

Aleksander Lazarevic, United Technologies Res. Ctr
Alessandro Sperduti, Univ. Padova
Amy Braverman, JPL
Ananth Grama, Purdue University
Arindam Banerjee, Univ. Minnesota
Aristides Gionis, Univ Helsinki
Arno Siebes, Universiteit Utrecht
Ashok Srivastava, NASA Ames
Bharat Rao, Siemens Medical
Bing Liu, University of Illinois at Chicago
Byung-Hoon Park, Oak Ridge National Laboratory
Charu Aggarwal, IBM Research
Chris Ding, Lawrence Livermore NL
Chris Meek, Microsoft Research
Daniel Boley, University of Minnesota
David Scott, Rice U.
Deepak K. Agarwal, AT&T Shannon Labs
Dharmendra S. Modha, IBM T.J. Watson
Dimitris Gunopulos , UC Riverside
Dino Pedreschi, Università di Pisa
Domenico Talia, University of Calabria
Eamon Keogh, UC Irvine
Ee-peng Lim, Nan Yang Technological University
El-ghazali Talbi, University des Sciences et Technologies de Lille
Floriana Esposito, Universita' di Bari
Gagan Agarwal, Ohio State University
Gautam Das, Univ. Texas, Arlington
George Karypis, University of Minnesota
Guozhu Dong, Wright State University
Haesun Park, Georgia Tech
Haixun Wang, IBM T.J. Watson
Hannu Toivonen, University of Helsinki
Hillol Kargupta, UMBC
Huan Liu, Arizona State University
Hui Xiong, Rutgers University
Ian Davidson, SUNY, Albany
Inderjit S. Dhillon, University of Texas Austin
Jean-Francois Boulicaut, INSA Lyon
Jesus S. Aguilar-Ruiz, University of Seville
Jian Pei, Simon Fraser University
Joachim Buhmann, ETH
Johannes Furnkranz, Informatik TU, Darmstadt
Kate Smith, Monash Univ
Katharina Morik, University of Dortmund
Ke Wang, Columbia University
Kevin Knuth, NASA Ames
Krishnamoorthy Sivakumar, Washington State University
Kuiyu Chang, NTU
Larry Hall, Univ. of South Florida
Lim Ee Peng, Nanyang Technological University
Lise Getoor, Maryland
Luc De Raedt, Albert-Ludwigs-University Freiburg
Margineantu Dragos, Boeing
Marina Meila, University of Washinton
Mark Embrechts, RPI
Martin Ester, Simon Fraser University,
Mehran Sahami, Google
Mei Kobayashi, IBM Research
Michael Berry, University of Tennessee
Michael Burl, JPL/NASA
Michael Steinbach, Univ of Minnesota
Micheal May, Fraunhofer Institute for Autonomous Intelligent Systems
Ming-Syan Chen, National Taiwan University
Minos Garofalakis, Intel Research Berkeley
Mohammed J. Zaki, Rensselaer Polytechnic Institute
Naoki Abe, IBM T.J. Watson
Ning Zhong, Maebashi Inst Tech
Olfa Nasraoui, University of Louisville
Pabitra Mitra, IIT Kanpur
Pang-Ning Tan, Michigan State Univ
Pavel Berkhin, Yahoo
Peter A. Flach, University of Bristol
Peter Hammer, Rutgers University
Peter Scheuermann, North Western University
Philip Chan, Florida Institute of Technology
Pradeep Dubey, Intel Research
Raghu Krishnapuram , IBM Delhi
Raj Bhatnagar, Univ. Cincinnati
Rajeev Motwani, Stanford University
Rajeev Rastogi, Bell Laboratories


Ramasamy Uthuruswamy, General Motors Corporation
Robert Cooley, North American Sales, KXEN
Robert Duin, Delft Univ
Robert Grossman, University of Illinois at Chicago
Ronald Pearson, Prosanos
Ronen Feldman, Bar-Ilan University
S. Muthu Muthukrishnan, Rutgers University and AT&T Research
Salvatore Orlando, Univ. Venice
Sanjay Chawla, University of Sydney,
Sanjay Ranka, University of Florida
Saso Dzeroski, Josef Stefan Inst, Slovenia
Shashi Shekhar, University of Minnesota
Shawn Newsam, Lawrence Livermore National Laboratory
Sheng Ma, IBM T.J. Watson
Shusaku Tsumoto, Shimane Medical University
Srujana Merugu, Univ of Texas at Austin
Stefano Lonardi, UC Riverside
Sugato Basu, SRI Int'l
Sushmita Mitra, Indian Statistical Inst, Kolkata
Tamara G. Kolda, Sandia Natl Labs
Tamraparni Dasu, AT&T Laboratories - Research
Tao Li, Florida Int'l Univ
Tom Heskes, Radboud Univ
Umeshwar Dayal, Hewlett-Packard Laboratories
Vasileios Megalooikonomou, Temple University
Wai Lam, City Univ Hong Kong
Wei Fan, IBM T.J. Watson
Wenliang Du, Syracuse University
Xiaotong Shen, U. Minnesota
Xindong Wu, University of Vermont
Xiwu Lin, GlaxoSmithKline
Yan Huang, University of North Texas

 

 

 


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