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- W2016082761 abstract "We present data mining methods which are used in a hydro-meteorological scenarios within the FP7 project ADMIRE <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>1</sup> . The scenarios 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, discharge wave propagation downstream of a major water reservoir and short-term rainfall prediction by analyzing radar imagery. These scenarios are one of a set of use cases, which form the Flood Forecasting Simulation Cascade - a pilot application of ADMIRE project. We describe the variables used in data mining training of these scenarios and also an introduction to the data integration methodology approach we have devised." @default.
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- W2016082761 date "2010-08-01" @default.
- W2016082761 modified "2023-09-23" @default.
- W2016082761 title "Mining environmental data in hydrological scenarios" @default.
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- W2016082761 doi "https://doi.org/10.1109/fskd.2010.5569085" @default.
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