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Proceedings Paper

Application of data mining and knowledge discovery in emergency models and simulations
Author(s): Eduardo R. Sevilla
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Paper Abstract

With the increasing amount of open information available, the problems encountered in finding the pertinent information is growing in difficulty. There are problems in the validation of the material, resolving conflicting data, and bringing a dynamic situation into a coherent and manageable data stream. With the advances in tools and the human in the loop, combined with the use of unusual sources, a good data mining team will be able to discover the majority of the information needed to populate a model's database. The application of this process is shown as it applies to the medical situation in the Consequence Assessment Tools Set.

Paper Details

Date Published: 6 April 2000
PDF: 8 pages
Proc. SPIE 4057, Data Mining and Knowledge Discovery: Theory, Tools, and Technology II, (6 April 2000); doi: 10.1117/12.381758
Show Author Affiliations
Eduardo R. Sevilla, Logicon, Inc. (United States)


Published in SPIE Proceedings Vol. 4057:
Data Mining and Knowledge Discovery: Theory, Tools, and Technology II
Belur V. Dasarathy, Editor(s)

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