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Intelligence Analysis Using High Resolution Displays

  • Timothy Buennemeyer
  • John Booker
  • Andrew Sabri
  • Chris North
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3975)

Abstract

Intelligence analysis is a difficult task that involves mining complex datasets for clues. Distinguishing between evidence of suspicious activity and background noise is complicated, as is making connections between events, people, and other evidence. While algorithms to parse, extract, and make connections between data are important to this field, at some point the data must be interpreted by human users. Information visualization allows people to employ their innate visual strengths to gain insights about data and is necessary to effectively understand both raw data and the filtered output of algorithms.

Keywords

Multiple View Information Visualization Large Display Intelligence Analysis Suspicious Activity 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Timothy Buennemeyer
    • 1
  • John Booker
    • 1
  • Andrew Sabri
    • 1
  • Chris North
    • 1
  1. 1.The Bradley Department of Electrical and Computer Engineering, and The Center for Human-Computer Interaction, Department of Computer ScienceVirginia Polytechnic Institute and State UniversityBlacksburgUSA

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