SOM Neural Network - a Piece of Intelligence in Disaster Management

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F09%3A86077766" target="_blank" >RIV/61989100:27240/09:86077766 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
SOM Neural Network - a Piece of Intelligence in Disaster Management
Original language description
a collaborative emergency call taking information system in the Czech Republic processes calls from the European 112 emergency number. Large amounts of various incident records are stored in its databases. The data can be used for mining spatial and temporal anomalies. When such an anomalous situation is detected so that the system could suffer from local or temporal performance decrease, either a person, or an automatic management module could take measures to reconfigure the system traffic and balanceits load. In this paper we describe a method of knowledge discovery and visualization with respect to the emergency call taking information system database characteristics. The method is based on the Kohonen Self Organizing Map (SOM) algorithm. Transformations of categorical attributes into numeric values are proposed to prepare training set for successful SOM generation.
Czech name
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Czech description
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Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
World Congress on Nature & Biologically Inspired Computing, 2009. NaBIC 2009
ISBN
978-1-4244-5053-4
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
IEEE Computer Society
Place of publication
Los Alamitos, California
Event location
Indie
Event date
Dec 9, 2009
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000288686500148

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