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Statistical Analysis of Massive Data Streams: Proceedings of a Workshop (2004)

Chapter: Paul Padley Some Challenges in Experimental Particle Physics Data Streams

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Suggested Citation:"Paul Padley Some Challenges in Experimental Particle Physics Data Streams ." National Research Council. 2004. Statistical Analysis of Massive Data Streams: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/11098.
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SOME CHALLENGES IN EXPERIMENTAL PARTICLE PHYSICS DATA STREAMS 90 Paul Padley Some Challenges in Experimental Particle Physics Data Streams Abstract of Presentation Transcript of Presentation and PowerPoint Slides BIOSKETCH: Paul Padley is a professor of physics at Rice University. His research interests lie in experimental elementary particle physics. He conducts much of his research at Hadron collider facilities such as the Tevatron at FermiLab and the Large Hadron Collider at CERN, the world's largest particle physics laboratory. Dr. Padley earned his BSc from York University in 1981 and his PhD from the University of Toronto in 1987.

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Massive data streams, large quantities of data that arrive continuously, are becoming increasingly commonplace in many areas of science and technology. Consequently development of analytical methods for such streams is of growing importance. To address this issue, the National Security Agency asked the NRC to hold a workshop to explore methods for analysis of streams of data so as to stimulate progress in the field. This report presents the results of that workshop. It provides presentations that focused on five different research areas where massive data streams are present: atmospheric and meteorological data; high-energy physics; integrated data systems; network traffic; and mining commercial data streams. The goals of the report are to improve communication among researchers in the field and to increase relevant statistical science activity.

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