Self organising maps on compute unified device architecture for the performance monitoring of emergency call-taking centre

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F13%3A86100035" target="_blank" >RIV/61989100:27240/13:86100035 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-642-45318-2-15" target="_blank" >http://dx.doi.org/10.1007/978-3-642-45318-2-15</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-642-45318-2-15" target="_blank" >10.1007/978-3-642-45318-2-15</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Self organising maps on compute unified device architecture for the performance monitoring of emergency call-taking centre

Popis výsledku v původním jazyce

The collaborative emergency call-taking information system in the Czech Republic forms a network of cooperating emergency call centers processing emergency calls to the European 112 emergency number. Large amounts of various incident records are stored in the databases. The data can be used for mining spatial and temporal anomalies, as well as for the monitoring and analysis of the performance of the emergency call- taking system. In this paper, we describe a method for knowledge discovery and visualization targeted at the performance analysis of the system with respect to the organization of the emergency call-taking information system and its data characteristics. The method is based on the Kohonen Self-Organising Map (SOM) algorithm and its extension, the Growing Grid algorithm. To handle the massive data, the growing grid algorithm is implemented in a parallel environment using compute unified device architecture.

Název v anglickém jazyce

Self organising maps on compute unified device architecture for the performance monitoring of emergency call-taking centre

Popis výsledku anglicky

The collaborative emergency call-taking information system in the Czech Republic forms a network of cooperating emergency call centers processing emergency calls to the European 112 emergency number. Large amounts of various incident records are stored in the databases. The data can be used for mining spatial and temporal anomalies, as well as for the monitoring and analysis of the performance of the emergency call- taking system. In this paper, we describe a method for knowledge discovery and visualization targeted at the performance analysis of the system with respect to the organization of the emergency call-taking information system and its data characteristics. The method is based on the Kohonen Self-Organising Map (SOM) algorithm and its extension, the Growing Grid algorithm. To handle the massive data, the growing grid algorithm is implemented in a parallel environment using compute unified device architecture.

Druh

C - Kapitola v odborné knize

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2013

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název knihy nebo sborníku

Lecture Notes in Computer Science. Volume 8160

ISBN

978-3-642-45317-5

Počet stran výsledku

28

Strana od-do

339-366

Počet stran knihy

300

Název nakladatele

Springer-Verlag Berlin Heidelberg

Místo vydání

Berlin Heidelberg

Kód UT WoS kapitoly

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