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  • This paper deals with using a K-means clustering which is used for decision what parameter related to weather affects a propagation of radio waves in mobile telecommunication network. There were analysed parameters from a meteorological service as well as the parameters related to Global System of Mobile Communication network. For this purpose, we studied and used theory of data mining. The second part of the paper is focused on the significant weather parameters as results of K-means analyse. Consequently, there have been found some dependencies between weather conditions and receive level using a mathematical tools of correlation analysis via MATLAB.
  • This paper deals with using a K-means clustering which is used for decision what parameter related to weather affects a propagation of radio waves in mobile telecommunication network. There were analysed parameters from a meteorological service as well as the parameters related to Global System of Mobile Communication network. For this purpose, we studied and used theory of data mining. The second part of the paper is focused on the significant weather parameters as results of K-means analyse. Consequently, there have been found some dependencies between weather conditions and receive level using a mathematical tools of correlation analysis via MATLAB. (en)
Title
  • K-mean clustering and correlation analysis in recognition of weather impact on radio signal
  • K-mean clustering and correlation analysis in recognition of weather impact on radio signal (en)
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  • K-mean clustering and correlation analysis in recognition of weather impact on radio signal
  • K-mean clustering and correlation analysis in recognition of weather impact on radio signal (en)
skos:notation
  • RIV/61989100:27240/12:86084949!RIV13-MSM-27240___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
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  • S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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  • 144791
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  • RIV/61989100:27240/12:86084949
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  • weather; K-means; GSM; data mining; Clustering (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [093C7270C980]
http://linked.open...v/mistoKonaniAkce
  • Praha
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  • New York
http://linked.open...i/riv/nazevZdroje
  • TSP 2012 : 35th International Conference on Telecommunications and Signal Processing : July 3-4, 2012, Prague, Czech Republic
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  • Blaha, Petr
  • Skapa, Jan
  • Dvorský, Marek
  • Šebesta, Roman
  • Michalek, Libor
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://bibframe.org/vocab/doi
  • 10.1109/TSP.2012.6256306
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  • IEEE
https://schema.org/isbn
  • 978-1-4673-1118-2
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  • 27240
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