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Advances in Machine Learning for the Behavioral Sciences

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61384399%3A31130%2F20%3A00054146" target="_blank" >RIV/61384399:31130/20:00054146 - isvavai.cz</a>

  • Alternative codes found

    RIV/61384399:31140/20:00054146

  • Result on the web

    <a href="https://journals.sagepub.com/eprint/39NR5B5UUSE9SVNBUISB/full" target="_blank" >https://journals.sagepub.com/eprint/39NR5B5UUSE9SVNBUISB/full</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1177/0002764219859639" target="_blank" >10.1177/0002764219859639</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Advances in Machine Learning for the Behavioral Sciences

  • Original language description

    Main topics of the document: artificial intelligence; big data; descriptive data mining; machine learning; natural language processing; text mining

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    50101 - Psychology (including human - machine relations)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    American Behavioral Scientist

  • ISSN

    0002-7642

  • e-ISSN

    0002-7642

  • Volume of the periodical

    64

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    31

  • Pages from-to

    145-175

  • UT code for WoS article

    000506676100002

  • EID of the result in the Scopus database

    2-s2.0-85070317375