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

Chapter: Edward Wegman Visualization of Internet Packet Headers

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Suggested Citation:"Edward Wegman Visualization of Internet Packet Headers ." 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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Page 261
Suggested Citation:"Edward Wegman Visualization of Internet Packet Headers ." 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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Page 262

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VISUALIZATION OF INTERNET PACKET HEADERS 261 Edward Wegman Visualization of Internet Packet Headers Abstract of Presentation Transcript of Presentation and PowerPoint Slides BIOSKETCH: Edward J.Wegman is the Bernard J.Dunn Professor of Information Technology and Applied Statistics, the chair of the Department of Applied and Engineering Statistics and the director of the Center for Computational Statistics at George Mason University. He received his MS and PhD in statistics from the University of Iowa. He spent 10 years on the faculty of the Statistics Department at the University of North Carolina. Dr. Wegman's early career focused on the development of aspects of the theory of mathematical statistics. In 1978, he went to the Office of Naval Research (ONR), where he was the head of the Mathematical Sciences Division. In this role, he was responsible for a variety of cross-disciplinary areas, including such projects as mathematical models of biological intelligence, mathematical methods for remote sensing, and topological methods in chemistry. Dr. Wegman was the original program director of the basic research program in ultra-high-speed computing at the Strategic Defense Initiative's Innovative Science and Technology Office (“Star Wars” program). As the SDI program officer, he was responsible for programs in software development tools, highly parallel architectures, and optical computing. Dr. Wegman came to George Mason University with a background in both theoretical statistics and computing technology, with knowledge of the considerable data analytic problems associated with large-scale scientific and technical databases. In 1986, he launched the Center for Computational Statistics and developed the MS in statistical science degree program. More recently he has been involved with the development of the Institute for Computational Science and Informatics and the new PhD program in computational sciences and informatics at George Mason University. He has been consultant to a variety of governmental and private sector organizations, organized some 15 major workshops and conferences, and served as associate editor of the Journal of the American Statistical Association, Statistics and Probability Letters and Communications in Statistics. He presently serves on the editorial boards of the Journal

VISUALIZATION OF INTERNET PACKET HEADERS 262 of Statistical Planning and Inference, the Naval Research Logistics Quarterly, the Journal ofNonparametric Statistics, and Computational Statistics and Data Analysis.

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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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