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Statistical Analysis of Massive Data Streams: Proceedings of a Workshop Committee on Applied and Theoretical Statistics STATISTICAL ANALYSIS OF MASSIVE DATA STREAMS National Research Council Washington, D.C. December 13 and 14, 2002 December 13 Welcome and Overview of Sessions Sallie Keller-McNulty, Los Alamos National Laboratory Chair, Committee on Applied and Theoretical Statistics James Schatz, National Security Agency Session 1. Atmospheric and Meteorological Data Douglas Nychka, Session Chair, National Center for Atmospheric Research Introduction John Bates, National Climatic Data Center Exploratory Climate Analysis Tools for Environmental Satellite and Weather Radar Data Amy Braverman, Jet Propulsion Laboratory Statistical Challenges in the Production and Analysis of Remote Sensing Earth Science Data at the Jet Propulsion Laboratory Ralph Milliff, Colorado Research Associates Global and Regional Surface Wind Field Inferences from Spaceborne Scatterometer Data Report from Breakout Group
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Statistical Analysis of Massive Data Streams: Proceedings of a Workshop Session 2. High-Energy Physics David Scott, Session Chair, Rice University Introduction Robert Jacobsen, Lawrence Berkeley National Laboratory Statistical Analysis of High Energy Physics Data Paul Padley, Rice University Some Challenges in Experimental Particle Physics Data Streams Miron Livny, University of Wisconsin-Madison Data Grids (or A Distributed Computing View of High Energy Physics) Report from Breakout Group Luncheon Keynote Address Daryl Pregibon, AT&T Shannon Research Laboratories Keynote Address: Graph Mining—Discovery in Large Networks Session 3. Integrated Data Systems Sallie Keller-McNulty, Session Chair, Los Alamos National Laboratory Introduction J.Douglas Reason, Los Alamos National Laboratory Global Situational Awareness Kevin Vixie, Los Alamos National Laboratory Incorporating Invariants in Mahalanobis Distance-Based Classifiers: Applications to Face Recognition John Elder, Elder Research Ensembles of Models: Simplicity (of Function) Through Complexity (of Form) Report from Breakout Group After-Dinner Address Mark Hansen, Bell Laboratories Announcement from the Whitney Museum of American Art Untitled Presentation
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Statistical Analysis of Massive Data Streams: Proceedings of a Workshop December 14 Session 4. Network Traffic Wendy Martinez, Session Chair, Office of Naval Research Introduction William Cleveland, Bell Laboratories FSD Models for Open-Loop Generation of Internet Packet Traffic Johannes Gehrke, Cornell University Processing Aggregate Queries over Continuous Data Streams Edward Wegman, George Mason University Visualization of Internet Packet Headers Paul Whitney, Pacific Northwest National Laboratory Toward the Routine Analysis of Moderate to Large-Size Data Report from Breakout Group Session 5. Mining Commercial Streams of Data Leland Wilkinson, Session Chair, SPSS, Inc. Introduction Lee Rhodes, Hewlett-Packard Laboratories A Stream Processor for Extracting Usage Intelligence from High-Momentum Internet Data Pedro Domingos, University of Washington A General Framework for Mining Massive Data Streams Andrew Moore, Carnegie Mellon University Kd-R-Ball-and Ad-Trees: Scalable Massive Science Data Analysis Report from Breakout Group
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