• DocumentCode
    3637630
  • Title

    Prediction of significant meteorological phenomena using advanced data mining and integration methods

  • Author

    Ladislav Hluchý;Ondrej Habala;Juraj Bartok;Peter Bednár;Martin Gažák

  • Author_Institution
    Institute of Informatics of the Slovak Academy of Sciences, Dú
  • Volume
    6
  • fYear
    2010
  • Firstpage
    2998
  • Lastpage
    3002
  • Abstract
    We present the design, goals, and current state of the project Data Mining Meteo1which is aimed towards using new data integration and data mining techniques in prediction of several meteorological phenomena, whose prediction is so far difficult, yet very useful for planning and coordinated, for example in traffic management. The paper focuses on the description of the meteorological prediction scenarios, and how the data mining and integration technologies are used to make them feasible in a day-to-day production environment.
  • Keywords
    "Data mining","Clouds","Data models","Atmospheric modeling","Predictive models","Biological system modeling","Meteorology"
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
  • Print_ISBN
    978-1-4244-5931-5
  • Type

    conf

  • DOI
    10.1109/FSKD.2010.5569281
  • Filename
    5569281