| Year | 2005 |
|---|---|
| Start Date | 2005-04-21 |
| End Date | 2005-04-23 |
| Name | SIAM International Conference on Data Mining |
| Place | Newport Beach, CA |
| Introduction | 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. themes 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 Post-processing Collaborative filtering/personalization Cost-based decision making Visual data mining Privacy sensitive 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, 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, Queens 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 |