Kazan (Volga region) Federal University, KFU
KAZAN
FEDERAL UNIVERSITY
 
COMPARISON OF METHODS FOR CLASSIFYING DATA FOR DIVISION INTO GROUPS WHEN LEARNING ENGLISH
Form of presentationArticles in Russian journals and collections
Year of publication2017
Языкрусский
  • Baranova Alfiya Rafailovna, author
  • Bibliographic description in the original language Baranova A.R. Comparison of methods for classifying data for division into groups when learning English / A.R. Baranova, K.I. Kalimullina, G.K. Kenzhetaeva // Informacionnye tekhnologii v issledovatelskom prostranstve raznostrukturnykh yazykov: sbornik statey II Mezhdunarodnoy internet-konferencii molodykh uchenykh (4 dekabrya 2017 g.) / otv. red. L.R. Sakaeva. – Kazan: Izd-vo Kazan. un-ta, 2017. S. 165-169.
    Annotation Информационные технологии в исследовательском пространстве разноструктурных языков
    Keywords language, learning, data analysis, machine learning, classification problem, k-nearest neighbors method, decision trees.
    The name of the journal Информационные технологии в исследовательском пространстве разноструктурных языков
    Please use this ID to quote from or refer to the card https://repository.kpfu.ru/eng/?p_id=170776&p_lang=2

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