SIAM Conference on Data Mining (SDM12)

April 26 – April 28, 2012
Anaheim, California, USA

Announcement: the following workshops have been cancelled:




Important Dates
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Paper Submission: 11:59pm, October 14, 2011 (PST)
Author Notification: 11:59pm, December 21, 2011 (PST)
Workshop/Tutorial Proposals: 11:59pm, September 30, 2011 (PST)
Camera Ready Papers Due: January 25, 2012
Travel Fund Application Deadline: January 4, 2012

Pre-Registration Deadline: March 30, 2012 Disconnect time is 4:00 PM EDT
Hotel Reservation Deadline: March 27, 2012

Organizing Committee
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Steering Committee Chair
Chandrika Kamath, Lawrence Livermore National Laboratory

Conference Chairs
Joydeep Ghosh, University of Texas - Austin
Huan Liu, Arizona State University

Program Chairs
Ian Davidson, University of California - Davis
Carlotta Domeniconi, George Mason University

Workshop Chairs
Rui Kuang, University of Minnesota
Chandan Reddy, Wayne State University

Tutorial Chair
Nitesh Chawla, University of Notre Dame

Publicity Chair
Nitin Agarwal, University of Arkansas - Little Rock

Sponsorship Chairs
Jennifer Dy, Northeastern University
Jimeng Sun, IBM Research

Senior Program Committee Members
Charu Aggarwal, IBM T. J. Watson Research Center
Arindam Banerjee, University of Minnesota
Sugato Basu, Google Research
Roberto Bayardo, Google Research
Francesco Bonchi, Yahoo! Research
Varun Chandola, Oak Ridge National Laboratory
Wei Fan, IBM T.J.Watson and IBM CRL
Dimitrios Gunopulos, University of Athens
Jiawei Han, University of Illinois at Urbana-Champaign
George Karypis, University of Minnesota
Eamonn Keogh, University of California - Riverside
Tamara Kolda, Sandia National Laboratories
Jure Leskovec, Stanford University
Olfa Nasraoui, University of Louisville
Alex Smola, Yahoo! Research
Myra Spiliopoulou, Otto-von-Guericke-Universitaet Magdeburg
Parthasarathy Srinivasan, Ohio State University
Hannu Toivonen, University of Helsinki
Wei Wang, University of North Carolina at Chapel Hill
Qiang Yang, Hong Kong University of Technology
Jieping Ye, Arizona State University
Bianca Zadrozny, IBM Research Brazil
Mohammed Zaki, Rensselaer Polytechnic Institute

Program Committee Members
Naoki Abe, IBM Research, USA
Foto Afrati, National Technical University of Athens, Greece
Nitin Agarwal, University of Arkansas at Little Rock, USA
Mohammad Al Hasan, Indiana University-Purdue University, USA
Aijun An, York University, Canada
Tony Bagnall, University of East Anglia, UK
James Bailey, University of Melbourne, Australia
Jose Luis Balcazar, Universidad de Cantabria, Spain
Daniel Barbara, George Mason University, USA
Gustavo Batista, University of California at Riverside, USA
Tanya Berger-Wolf, University of Illinois at Chicago, USA
Kanishka Bhaduri, NASA Ames Research Center, USA
Mustafa Bilgic, Illinois Institute of Technology, USA
Jean-Francois Boulicaut, Universite de Lyon, France
Wray Buntine, Canberra Research Laboratory, NICTA, Australia
Toon Calders, Eindhoven University of Technology, The Netherlands
Michelangelo Ceci, University of Bari "Aldo Moro", Italy
Nicolo Cesa-Bianchi, University of Milan, Italy
Vineet Chaoji, Yahoo! Labs, Bangalore
Nitesh Chawla, University of Notre Dame, USA
Ling Chen, University of Technology, Sydney, Australia
Hong Cheng, Chinese University of Hong Kong, Hong Kong
Diane Cook, Washington State University, USA
Alfredo Cuzzocrea, Italian National Research Council, Italy
Florence D'Alche-Buc, Universite d'Evry Val d'Essonne, France
Kamalika Das, NASA Ames Research Center, USA
Christian Desrosiers, Ecole de technologie superieure, Montreal, Canada
Chris Ding, University of Texas at Arlington, USA
Wei Ding, University of Massachusetts Boston, USA
Daniel Dunlavy, Sandia National Laboratories, USA
Haimonti Dutta, Columbia University, USA
Saso Dzeroski, Jozef Stefan Institute, Slovenia
Tina Eliassi-Rad, Rutgers University, USA
Ya Ju Fan, Lawrence Livermore National Laboratory, USA
Yi Fang, Purdue University, USA
Xiaoli Fern, Oregon State University, USA
Maurizio Filippone, University of Glasgow, UK
George Forman, Hewlett-Packard Labs, USA
Ana Fred, Technical University of Lisbon, Portugal
Johannes Furnkranz, Technical University Darmstadt, Germany
Joao Gama, University of Porto, Portugal
Byron Gao, Texas State University, USA
Jing Gao, SUNY Buffalo, USA
Claudio Gentile, University of Insubria, Italy
Amol Ghoting, IBM T. J. Watson Research Center, USA
Fosca Giannotti ISTI-CNR, Italy
Aris Gkoulalas-Divanis, IBM Research, Zurich, Switzerland
David Gleich, Purdue University, USA
Bart Goethals, University of Antwerp, Belgium
Francesco Gullo, Yahoo! Barcelona, Spain
Tias Guns, Katholieke Universiteit Leuven, Belgium
Maria Halkidi, University of Pireaus, Greece
Shen-Shyang Ho, University of Maryland College Park, USA
Vasant Honavar, Iowa State University, USA
Ming Hua, Facebook, USA
Jun Huan, University of Kansas, USA
Eyke Huellermeier, University of Marburg, Germany
Shuiwang Ji, Old Dominion University, USA
Rouoming Jin, Kent State University, USA
Alipio Jorge, University of Porto, Portugal
Alexandros Kalousis, University of Geneva, Switzerland
Kristian Kersting, Fraunhofer IAIS, University of Bonn, Germany
George Kollios, Boston University, USA
Vipin Kumar, University of Minnesota, USA
Terran Lane, University of New Mexico, USA
Tao Li, Florida International University, USA
Jessica Lin, George Mason University, USA
Jinze Liu, University of Kentucky, USA
Jun Liu, Siemens Corporate Research, USA
Nathan Nan Liu, Hong Kong University of Science and Technology, Hong Kong
Stefano Lonardi, University of California at Riverside, USA
Chang-Tien Lu, Virginia Tech, USA
Claudio Lucchese, Institute of the National Research Council, Italy
Sheng Ma, DoubleClick, USA
Donato Malerba, University of Bari, Italy
Rosa Meo, University of Torino, Italy
Fabian Moerchen, Siemens, USA
Alessandro Moschitti, University of Trento, Italy
Emmanuel Muller, Karlsruhe Institute of Technology, Germany
Art Munson, Sandia National Laboratories, US
Mirco Nanni, ISTI CNR, Italy
Tim Oates, University of Maryland Baltimore, USA
Zoran Obradovic, Temple University, USA
Nikunj Oza, NASA Ames Research Center, USA
Themis Palpanas, University of Trento, Italy
Sinno Jialin Pan, Institute for Infocomm Research, Singapore
Spiros Papadimitriou, Google Research, USA
Stelios Paparizos, Microsoft, USA
Rajesh Parekh, Yahoo! Research, USA
Dino Pedreschi, University of Pisa, Italy
Jian Pei, Simon Fraser University, Canada
Jing Peng, Montclair State University, USA
Ruggero Pensa, Consiglio Nazionale delle Ricerche, Italy
Ali Pinar, Sandia National Laboratories, USA
Kunal Punera, Yahoo! Research, USA
Huzefa Rangwala, George Mason University, USA
S.S. Ravi, Suny Albany, USA
Chandan K. Reddy, Wayne State University, USA
Saeed Salem, North Dakota State University, USA
Guna Seetharaman, Air Force Research Laboratory, USA
Arno Siebes, Universiteit Utrecht, The Netherlands
Michael Steinbach, University of Minnesota, USA
Masashi Sugiyama, Tokyo Institute of Technology, Japan
Einoshin Suzuki, Kyushu University, Japan
Andrea Tagarelli, University of Calabria, Italy
Evimaria Terzi, Boston University, USA
Volker Tresp, Siemens, Germany
Duygu Ucar, Stanford University, USA
Antti Ukkonen, Yahoo! Research Barcelona, Spain
Giorgio Valentini, University of Milan, Italy
Matthijs van Leeuwen, Universiteit Utrecht, The Netherlands
Michalis Vazirgiannis, Athens University of Economics & Business, Greece
Ricardo Vilalta, University of Huston, USA
Michail Vlachos, IBM Research Zurich, Switzerland
Slobodan Vucetic, Temple University, USA
Fei Wang, IBM Research, USA
Jianyong Wang, Tsinghua University, Beijing China
Pu Wang, StumbleUpon, USA
Tony Wirth, University of Melbourne, Australia
Xindong Wu, University of Vermont, USA
Hui Xiong, Rutgers University, USA
Dit-Yan Yeung, Hong Kong University of Science and Technology, Hong Kong
Philip Yu, University of Illinois at Chicago, USA
Kun Zhang, Xavier University of Lousiana, USA
Xiang Zhang, Case Western Reserve University, USA
Ying Zhao, Tsinghua University, Beijing China
Hill Zhu, University of Technology Sydney, Australia

Description
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Data mining is an important tool in science, engineering, industrial processes, healthcare, business, 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 theoretical and 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 in academia and industry 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 is 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.

Themes
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We invite submissions related to the design, analysis, and implementation of data mining algorithms and systems. We would especially like to encourage submissions that describe the use of data mining for applications in new and/or emerging domains. Such papers should highlight the importance of employing data mining techniques in the domain and demonstrate either novel techniques, or the significance and benefits of the employed technique in comparison with alternative methods.

Methods and Algorithms
Classification
Clustering
Frequent Pattern Mining
Probabilistic and Statistical Methods
Spatial and Temporal Mining
Data Stream Mining
Abnormality and Outlier Detection
Feature Selection / Feature Extraction
Dimension Reduction
Data Reduction
Mining with Constraints
Data Cleaning and Noise Reduction
Computational Learning Theory
Multi-Task Learning
Adaptive Algorithms
Scalable and High-Performance Mining
Mining Graphs
Mining Semistructured Data
Mining Complex Datasets
Mining on Emerging Architectures
Text and Web Mining
Other Novel Methods

Applications
Astronomy and Astrophysics
High Energy Physics
Collaborative Filtering
Earth Science
Risk Management
Supply Chain Management
Customer Relationship Management
Finance
Genomics and Bioinformatics
Drug Discovery
Healthcare Management
Automation & Process Control
Logistics Management
Intrusion and Fraud detection
Bio-surveillance 
Sensor Network Applications
Social Network Analysis
Intelligence Analysis
Other Novel Applications and Case Studies

Human Factors and Social Issues
Ethics of Data Mining
Intellectual Ownership
Privacy Models
Privacy Preserving Data Mining and Data Publishing
Risk Analysis
User Interfaces
Interestingness and Relevance
Data and Result Visualization

For inquiries on paper submission and program: sdm12chairs@gmail.com