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Description
  • Příspěvek se zabývá algoritmem eGMDH a jeho aplikací na oblast předpovídání průměrné denní teploty na základě meteorologických dat z předchozích dnů. (cs)
  • This paper presents the data mining activity that was employed in weather data prediction or forecasting. The self-organizing data mining approach employed is the enhanced Group Method of Data Handling (e-GMDH). The weather data used for the DM research include daily temperature, daily pressure and monthly rainfall. Experimental results indicate that the proposed approach is useful for data mining technique for forecasting weather data.
  • This paper presents the data mining activity that was employed in weather data prediction or forecasting. The self-organizing data mining approach employed is the enhanced Group Method of Data Handling (e-GMDH). The weather data used for the DM research include daily temperature, daily pressure and monthly rainfall. Experimental results indicate that the proposed approach is useful for data mining technique for forecasting weather data. (en)
Title
  • Self organizing Data Mining for Weather Forecasting
  • Samo-organizované získávání znalostí z dat v oblasti předpovědi počasí (cs)
  • Self organizing Data Mining for Weather Forecasting (en)
skos:prefLabel
  • Self organizing Data Mining for Weather Forecasting
  • Samo-organizované získávání znalostí z dat v oblasti předpovědi počasí (cs)
  • Self organizing Data Mining for Weather Forecasting (en)
skos:notation
  • RIV/68407700:21230/07:03141988!RIV08-AV0-21230___
http://linked.open.../vavai/riv/strany
  • 81;88
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1ET101210513)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 449299
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/07:03141988
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • GDHM algorithm (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [4748203662AA]
http://linked.open...v/mistoKonaniAkce
  • Lisbon
http://linked.open...i/riv/mistoVydani
  • Lisboa
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the First European Conference on Data Mining
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Buryan, Petr
  • Abraham, A.
  • Onwubolu, G. C.
  • Buadromo, V.
  • Garimella, S.
  • Ramachandran, V.
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • IADIS Press
https://schema.org/isbn
  • 978-972-8924-40-9
http://localhost/t...ganizacniJednotka
  • 21230
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