Filtering Information from Reports on Flood.
| Autoři | |
|---|---|
| Rok publikování | 2009 |
| Druh | Článek ve sborníku |
| Konference | 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) |
| Fakulta / Pracoviště MU | |
| Citace | |
| Obor | Informatika |
| Klíčová slova | text mining; flood |
| Popis | 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. |
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