JSM 2005 - Toronto

Abstract #302750

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 171
Type: Invited
Date/Time: Monday, August 8, 2005 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistical Graphics
Abstract - #302750
Title: Change Detection and Visualization in Data Streams
Author(s): Stephen G. Eick*+ and Robert Grossman
Companies: University of Illinois, Chicago and University of Illinois, Chicago
Address: National Center for Data Mining, Chicago, IL, 60607-7045,
Keywords:
Abstract:

A variety of datasets now arrive as streams. There is a need for a new visualization paradigm that provides situational awareness for data in motion. The first step in providing situational awareness is change detection and visualization. To investigate this concept, we have developed a testbed that collects, integrates, and warehouses sensor streams from approximately 700 geospatially positioned sensors. The sensors detect traffic flows throughout the Chicago area, and our algorithms fuse sensor, textual, weather, and video feeds and visualize the information to provide situational awareness. Our focus is on detecting and showing changes in the traffic flows.

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