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Spatio-Temporal Data Mining of Major European River and Mountain Names Reveals Their Near Eastern and African Origins

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Advances in Databases and Information Systems (ADBIS 2018)

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Abstract

This paper presents a spatio-temporal data mining regarding the origin of the names of the 218 longest European rivers. The study shows that 35.2% of these river names originate in the Near East and Southern Caucasus. The study also investigates the origin of European mountain names. It is shown that at least 26 mountain names originate from Africa.

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Author information

Authors and Affiliations

  1. University of Nebraska-Lincoln, Lincoln, NE, 68588, USA

    Peter Z. Revesz

Authors
  1. Peter Z. Revesz
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Correspondence to Peter Z. Revesz .

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Editors and Affiliations

  1. Eötvös Loránd University, Budapest, Hungary

    András Benczúr

  2. Christian-Albrechts-Universität, Kiel, Germany

    Bernhard Thalheim

  3. Eötvös Loránd University, Budapest, Hungary

    Tomáš Horváth

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Revesz, P.Z. (2018). Spatio-Temporal Data Mining of Major European River and Mountain Names Reveals Their Near Eastern and African Origins. In: Benczúr, A., Thalheim, B., Horváth, T. (eds) Advances in Databases and Information Systems. ADBIS 2018. Lecture Notes in Computer Science(), vol 11019. Springer, Cham. https://doi.org/10.1007/978-3-319-98398-1_2

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  • DOI: https://doi.org/10.1007/978-3-319-98398-1_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-98397-4

  • Online ISBN: 978-3-319-98398-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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