EAKOS: VAST 2009

Lorne Leonard

doi:10.1109/VAST.2009.5333967

EAKOS: VAST 2009

Lorne Leonard

Institute of Energy and the Environment (IEE)

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	VAST 09 - IEEE Symposium on Visual Analytics Science and Technology, Proceedings
Pages	265-266
Number of pages	2
DOIs	https://doi.org/10.1109/VAST.2009.5333967
State	Published - 2009
Event	VAST 09 - IEEE Symposium on Visual Analytics Science and Technology - Atlantic City, NJ, United States Duration: Oct 12 2009 → Oct 13 2009

Publication series

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

Other

Other	VAST 09 - IEEE Symposium on Visual Analytics Science and Technology
Country/Territory	United States
City	Atlantic City, NJ
Period	10/12/09 → 10/13/09

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Computer Vision and Pattern Recognition
Information Systems

Access to Document

10.1109/VAST.2009.5333967

Cite this

@inproceedings{9ff50bf88ec44641bb1f57856f6926d1,

title = "EAKOS: VAST 2009",

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.",

author = "Lorne Leonard",

year = "2009",

doi = "10.1109/VAST.2009.5333967",

language = "English (US)",

isbn = "9781424452835",

series = "VAST 09 - IEEE Symposium on Visual Analytics Science and Technology, Proceedings",

pages = "265--266",

booktitle = "VAST 09 - IEEE Symposium on Visual Analytics Science and Technology, Proceedings",

note = "VAST 09 - IEEE Symposium on Visual Analytics Science and Technology ; Conference date: 12-10-2009 Through 13-10-2009",

}

Leonard, L 2009, EAKOS: VAST 2009. in VAST 09 - IEEE Symposium on Visual Analytics Science and Technology, Proceedings., 5333967, VAST 09 - IEEE Symposium on Visual Analytics Science and Technology, Proceedings, pp. 265-266, VAST 09 - IEEE Symposium on Visual Analytics Science and Technology, Atlantic City, NJ, United States, 10/12/09. https://doi.org/10.1109/VAST.2009.5333967

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PY - 2009

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AB - 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.

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DO - 10.1109/VAST.2009.5333967

M3 - Conference contribution

AN - SCOPUS:72849134852

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T3 - VAST 09 - IEEE Symposium on Visual Analytics Science and Technology, Proceedings

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EP - 266

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

Y2 - 12 October 2009 through 13 October 2009

ER -

EAKOS: VAST 2009

Abstract

Publication series

Other

All Science Journal Classification (ASJC) codes

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