EAKOS: VAST 2009

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this article, I describe the tools and techniques used to generate competing hypotheses for the VAST 2009 Flitter mini challenge. I will describe how I approached solving the social networks and the importance of the geospatial relationships to determine that "Social Structure Form A" was the best matching social network.

Original languageEnglish (US)
Title of host publicationVAST 09 - IEEE Symposium on Visual Analytics Science and Technology, Proceedings
Pages265-266
Number of pages2
DOIs
StatePublished - Dec 1 2009
EventVAST 09 - IEEE Symposium on Visual Analytics Science and Technology - Atlantic City, NJ, United States
Duration: Oct 12 2009Oct 13 2009

Publication series

NameVAST 09 - IEEE Symposium on Visual Analytics Science and Technology, Proceedings

Other

OtherVAST 09 - IEEE Symposium on Visual Analytics Science and Technology
CountryUnited States
CityAtlantic City, NJ
Period10/12/0910/13/09

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Information Systems

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