• 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