DocumentCode
2766881
Title
Hydro-meteorological Scenarios Using Advanced Data Mining and Integration
Author
Hluchy, Ladislav ; Habala, Ondrej ; Tran, Viet ; Ciglan, Marek
Author_Institution
Inst. of Inf., Slovak Acad. of Sci., Bratislava, Slovakia
Volume
7
fYear
2009
fDate
14-16 Aug. 2009
Firstpage
260
Lastpage
264
Abstract
We present a hydro-meteorological scenario and its adaptation to a novel, advanced data integration and data mining platform developed within the project ADMIRE. The scenario uses data mining techniques instead of more common physical models in order to predict phenomena which are not being ordinarily solved in Slovakia - water temperature and discharge wave propagation downstream of a major water reservoir. The scenario is one of a set of use cases, which form the Flood Forecasting Simulation Cascade - a pilot application of ADMIRE. We describe the data integration methodology approach we have devised, and the variables used in data mining training of the scenario.
Keywords
data mining; reservoirs; ADMIRE project; advanced data integration; advanced data mining; advanced data mining and integration research for Europe; flood forecasting simulation cascade; hydro-meteorological scenario; water reservoir; water temperature prediction; wave propagation downstream prediction; Aggregates; Data mining; Europe; Frequency shift keying; Informatics; Knowledge management; Middleware; Predictive models; Spatial resolution; Water resources; Data Mining; Grid; Hydrology; Meteorology; OGSA-DAI;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
Conference_Location
Tianjin
Print_ISBN
978-0-7695-3735-1
Type
conf
DOI
10.1109/FSKD.2009.828
Filename
5359995
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