Abstract #301568

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JSM 2003 Abstract #301568
Activity Number: 47
Type: Topic Contributed
Date/Time: Sunday, August 3, 2003 : 4:00 PM to 5:50 PM
Sponsor: Section on Statistical Graphics
Abstract - #301568
Title: Evolutionary Graphics for Streaming Data
Author(s): Edward J. Wegman*+
Companies: George Mason University
Address: 4400 University Dr., Fairfax, VA, 22030-4422,
Keywords: evolutionary graphics ; streaming data ; internet traffic ; recursive algorithms ; dynamic graphics
Abstract:

Data visualization has evolved from static images of small fixed-size datasets through computer generated dynamic graphics for large, but fixed datasets. Many situations, however, call for an ability to handle streaming data. One such situation of substantial importance is Internet traffic where one is interested in detecting, on the fly, attacks on a system or local network. In such a case, it is impractical to attempt to store data. Both graphical and analytic techniques must be capable of generating analysis procedures without storing the data. For analytic techniques, recursive algorithms of relatively low computational complexity can accomplish this. We review several of these and suggest several new graphical methods, which are dynamic techniques for streaming data.

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