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Description
  • Selected web search engines provide statistics of user activities according to the topics, time and locations. The utilization requires well prepared phrases and searching range. The system of etalons for calibration searching frequencies provided by Google Trends is proposed. It was applied for evaluation of searching names of Czech towns. The regression analysis proved high correlation with population. Highlighted anomalies were explored. K-means cluster analysis enabled a categorization of selected towns. The geographical network analysis of relationships among towns suffers from low quality of locations provided by Google. The discussion includes an overview of main pros and cons of Google Trends and provides recommendations.
  • Selected web search engines provide statistics of user activities according to the topics, time and locations. The utilization requires well prepared phrases and searching range. The system of etalons for calibration searching frequencies provided by Google Trends is proposed. It was applied for evaluation of searching names of Czech towns. The regression analysis proved high correlation with population. Highlighted anomalies were explored. K-means cluster analysis enabled a categorization of selected towns. The geographical network analysis of relationships among towns suffers from low quality of locations provided by Google. The discussion includes an overview of main pros and cons of Google Trends and provides recommendations. (en)
Title
  • Google Trends for Data Mining. Study of Czech Towns
  • Google Trends for Data Mining. Study of Czech Towns (en)
skos:prefLabel
  • Google Trends for Data Mining. Study of Czech Towns
  • Google Trends for Data Mining. Study of Czech Towns (en)
skos:notation
  • RIV/61989100:27350/13:86087049!RIV14-MSM-27350___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
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  • S
http://linked.open...vai/riv/dodaniDat
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http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 76758
http://linked.open...ai/riv/idVysledku
  • RIV/61989100:27350/13:86087049
http://linked.open...riv/jazykVysledku
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  • Czech towns; data mining; web search engine; Google (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [E7C5E926BA79]
http://linked.open...v/mistoKonaniAkce
  • Craiova
http://linked.open...i/riv/mistoVydani
  • Heidelberg
http://linked.open...i/riv/nazevZdroje
  • Lecture Notes in Computer Science. Volume 8083
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Horák, Jiří
  • Ivan, Igor
  • Inspektor, Tomáš
  • Kukuliač, Pavel
  • Návratová, Markéta
  • Devečka, Branislav
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
issn
  • 0302-9743
number of pages
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  • Springer-Verlag
https://schema.org/isbn
  • 978-3-642-40494-8
http://localhost/t...ganizacniJednotka
  • 27350
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