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Worskhop on Data Mining in Earth System Science (DMESS 2011)

Call for Papers Worskhop on Data Mining in Earth System Science (DMESS 2011) http://www.climatemodeling.org/workshops/dmess2011/ Co-convened by: Forrest M. Hoffman, J. Walter Larson, and Richard Tran Mills Held in Conjunction with: International Conference on Computational Science (ICCS 2011) Computational Science, University of Tsukuba, Japan June 1-3, 2011 Workshop Description: From field-scale measurements to global climate simulations and remote sensing, very large and long time series databases of Earth Science data are difficult to analyze and interpret. Data mining techniques--like cluster analysis, empirical orthogonal functions (EOFs), phase-space reconstruction, and neural networks--are being applied to problems of segmentation, feature extraction, model-data comparison, and validation. The size and complexity of Earth Science data, however, exceed the limits of most analysis tools. Scalable tools running on parallel supercomputers are required to analyze data of this size. This workshop will demonstrate how data mining techniques are applied in the Earth Sciences and describe innovative computer science methods that support analysis and discovery in Earth Sciences. Program Committee Members: Michael W. Berry (Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, USA) Sara J. Graves (Information Technology and Systems Center, University of Alabama, Huntsville, USA) William W. Hargrove (Eastern Forest Environmental Threat Assessment Center, USDA Forest Service, USA) Forrest M. Hoffman (Computational Earth Sciences Group, Computer Science & Mathematics Division and Ecosystem Science Group, Environmental Sciences Division and Oak Ridge Climate Change Science Institute, Oak Ridge National Laboratory, USA; Department of Earth System Science, University of California, Irvine, USA) Jian Huang (Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, USA) Robert Jacob (Mathematics and Computer Science Division, Argonne National Laboratory, USA) Vipin Kumar (Department of Computer Science and Engineering, University of Minnesota, USA) J. Walter Larson (Mathematics and Computer Science Division, Argonne National Laboratory, USA; Computation Institute, University of Chicago, USA; and School of Computer Science, The Australian National University, Canberra ACT 0200, AUSTRALIA) Richard T. Mills (Computational Earth Sciences Group, Computer Science & Mathematics Division and Aquatic Sciences Group, Environmental Sciences Division and Oak Ridge Climate Change Science Institute, Oak Ridge National Laboratory, USA; and Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, USA) R. Raju Vatsavai (Computational Sciences and Engineering Division, Oak Ridge National Laboratory, USA) Paper Submission: Authors are invited to submit manuscripts of up to 10 (A4) pages reporting original, unpublished research and recent developments/theoretical considerations in applications of data mining to Earth sciences by January 8, 2011.  Accepted papers will printed in the conference proceedings published by Elsevier Science in the open-access Procedia Computer Science series.  Submitted papers must be camera-ready and formatted according to the rules of Procedia Computer Science (http://www.elsevier.com/wps/find/journaldescription.cws_home/719435/description#description).  Submission implies the willingness of at least one of the authors to register and present the paper. Please submit your paper via the conference website at http://www.iccs-meeting.org/iccs2011/papers/upload.phpand select the workshop "Data Mining in Earth System Science (DMESS 2011)". Important Dates: Full paper submission:  January  8, 2011 Notification of paper acceptance: February 20, 2011 Final camera-ready papers due:    March  7, 2011 Contact: -     URL: http://www.climatemodeling.org/workshops/dmess2011/ -  E-mail:  dmess2011@climatemodeling.org forrás: IEMSS (klikk a címsorra)