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Applying of the Classifications Trees Method in Forecasting of Risk Groups of Intolerant Behavior

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Applied Computational Intelligence and Mathematical Methods (CoMeSySo 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 662))

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Abstract

In this paper the application capabilities of the heuristic method of mathematical statistics - classifications trees - are considered. Based on the analysis of sociological research results of the political tolerance of students in the Murmansk region, an algorithm for identifying and forecasting risk groups for intolerant behavior is described.

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Author information

Authors and Affiliations

  1. Branch of the Murmansk Arctic State University in the Apatity City, Lesnaya Street, 29, Apatity, 184205, Russia

    I. V. Vicentiy & A. V. Vicentiy

  2. St. Petersburg State University, Smolny Street, 1/3, St. Petersburg, 191124, Russia

    S. M. Eliseev

  3. Institute for Informatics and Mathematical Modelling of Technological Processes of the Kola Science Center RAS, Fersman Street, 24A, Apatity, 184209, Russia

    A. V. Vicentiy

Authors
  1. I. V. Vicentiy
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  2. S. M. Eliseev
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  3. A. V. Vicentiy
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Corresponding author

Correspondence to A. V. Vicentiy .

Editor information

Editors and Affiliations

  1. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Radek Silhavy

  2. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Petr Silhavy

  3. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Zdenka Prokopova

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Vicentiy, I.V., Eliseev, S.M., Vicentiy, A.V. (2018). Applying of the Classifications Trees Method in Forecasting of Risk Groups of Intolerant Behavior. In: Silhavy, R., Silhavy, P., Prokopova, Z. (eds) Applied Computational Intelligence and Mathematical Methods. CoMeSySo 2017. Advances in Intelligent Systems and Computing, vol 662. Springer, Cham. https://doi.org/10.1007/978-3-319-67621-0_32

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  • DOI: https://doi.org/10.1007/978-3-319-67621-0_32

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67620-3

  • Online ISBN: 978-3-319-67621-0

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