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

Chapter: Mark Hansen Untitled Presentation

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Suggested Citation:"Mark Hansen Untitled Presentation ." 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 210

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UNTITLED PRESENTATION 210 Mark Hansen Untitled Presentation Transcript of Presentation BIOSKETCH: Mark Hansen is a professor of statistics at the University of California at Los Angeles, with a joint appointment in design and media arts. His fields of expertise include statistical methods for data streams, text mining and informational retrieval, information theory, and practical function estimation. Before joining the faculty at UCLA, Dr. Hansen was a member of the technical staff at Bell Laboratories. He specialized in Web statistics and other large databases, directing a number of experiments with sound in support of data analysis. He has five patents and is the author of numerous publications as well as serving as an editor for the Journal of the American Statistical Association, Technometrics, and Statistical Computing and Graphics Newsletter. He has received a number of grants and awards for his art installation Listening Post. Listening Post produces a visualization of real-time data by combining text fragments in real time from thousands of unrestricted Internet chat rooms, bulletin boards, and other public forums that are then read (or sung) by a voice synthesizer and simultaneously displayed across a suspended grid of more than 200 small electronic screens. Dr. Hansen received his undergraduate degree in applied mathematics from the University of California at Davis and his master's and PhD degrees in statistics from the University of California at Berkeley.

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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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