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@inproceedings{875486,
author = {Popelínský, Lubomír},
address = {Praha},
booktitle = {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)},
keywords = {text mining; flood},
language = {eng},
location = {Praha},
isbn = {978-80-210-4796-9},
publisher = {ICA Working Group on Cartography in Early Warning and Crises Management},
title = {Filtering Information from Reports on Flood.},
year = {2009}
}
TY - JOUR
ID - 875486
AU - Popelínský, Lubomír
PY - 2009
TI - Filtering Information from Reports on Flood.
PB - ICA Working Group on Cartography in Early Warning and Crises Management
CY - Praha
SN - 9788021047969
KW - text mining
KW - flood
N2 - 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.
ER -
POPELÍNSKÝ, Lubomír. Filtering Information from Reports on Flood. In \textit{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)}. Praha: ICA Working Group on Cartography in Early Warning and Crises Management, 2009, 7 pp. ISBN~978-80-210-4796-9.
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