D 2009

Filtering Information from Reports on Flood.

POPELÍNSKÝ, Lubomír

Basic information

Original name

Filtering Information from Reports on Flood.

Authors

POPELÍNSKÝ, Lubomír (203 Czech Republic, guarantor)

Edition

Praha, Proceedings of Joint Symposium of ICA Working Group on Cartography in Early Warning and Crises Management (CEWaCM) and JBGIS Geo-information for Disaster Management (Gi4DM), 7 pp. 2009

Publisher

ICA Working Group on Cartography in Early Warning and Crises Management

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Czech Republic

Confidentiality degree

není předmětem státního či obchodního tajemství

RIV identification code

RIV/00216224:14330/09:00039353

Organization unit

Faculty of Informatics

ISBN

978-80-210-4796-9

Keywords (in Czech)

text mining; záplavy

Keywords in English

text mining; flood

Tags

International impact, Reviewed
Změněno: 31/3/2010 13:38, doc. RNDr. Lubomír Popelínský, Ph.D.

Abstract

V originále

In crisis management a big amount of messages and reports is being. We will show how multirelational data mining can help to decrease this amount or even extract key information. This paper focuses on mining in short reports that describe a SITUATION in a given area and ACTIONS performed as reaction to that situation. This method has been successfully used for analysis of reports on flood in Central Europe in 2002. We also show how this method can be modified to find keywords.

Links

MSM0021622418, plan (intention)
Name: DYNAMICKÁ GEOVIZUALIZACE V KRIZOVÉM MANAGEMENTU
Investor: Ministry of Education, Youth and Sports of the CR, Dynamic Geovisualisation in Crises Management