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This conference is sponsored by the SIAM Activity Group on Data Mining and Analytics.This conference is held in cooperation with the American Statistical Association.Algorithm for Optimal Job Scheduling and Task Allocation under Constraints Job scheduling is a common problem in many different applications.
SUBMISSION DEADLINES September 30, 2011 PM PST: Workshop/Tutorial Proposals : Paper Submission October 16th PDT December 21, 2011 PM PST: Author Notification January 25, 2012: Camera Ready Papers Due Presentation slides are now available for the MS1 Data Mining, Uncertainty Quantification, and Opportunities for Collaboration.
Best Paper Award A Distributed Kernel Summation Framework for General-Dimension Machine Learning Authors: Dongryeol Lee, Richard Vuduc, and Alexander G.
This usually involves using database techniques such as spatial indices.
These patterns can then be seen as a kind of summary of the input data, and may be used in further analysis or, for example, in machine learning and predictive analytics.
Research, USA Huzefa Rangwala, George Mason University, USA S. 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.Sponsored by Tom Tom, the world's leading provider of portable GPS and car navigation systems. Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal to extract information (with intelligent methods) from a data set and transform the information into a comprehensible structure for further use.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 presentations and tutorials (included with conference registration).A set of focused workshops are also held on the last day of the conference.Research, USA Myra Spiliopoulou, Otto-von-Guericke-Universitaet Magdeburg, Germany Parthasarathy Srinivasan, Ohio State University Hannu Toivonen, University of Helsinki, Finland Wei Wang, University of North Carolina at Chapel Hill, USA Qiang Yang, Hong Kong University of Technology, Hong Kong Jieping Ye, Arizona State University, USA Bianca Zadrozny, IBM T. Watson Research Center, USA Mohammed Zaki, Rensselaer Polytechnic Institute, USA 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, United Kingdom 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, India 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, United Kingdom 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. 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!These techniques in turn require implementations that are carefully tuned for performance; powerful visualization technologies; interface 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.The testing data comprises the activity of a simulated gas sensor "traversing" an environment containing multiple odorant sources, as well as a persistent background odorant.In the training data the sensor is traversing the...