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Thematic classification of the thesis abstracts. / Leonova, Y. V.; Fedotov, A. M.; Fedotova, O. A.

In: Eurasian Journal of Mathematical and Computer Applications, Vol. 5, No. 1, 2017, p. 74-86.

Research output: Contribution to journal › Article › peer-review

Harvard

Leonova, YV, Fedotov, AM & Fedotova, OA 2017, 'Thematic classification of the thesis abstracts', Eurasian Journal of Mathematical and Computer Applications, vol. 5, no. 1, pp. 74-86. https://doi.org/10.32523/2306-3172-2017-5-1-74-86

APA

Leonova, Y. V., Fedotov, A. M., & Fedotova, O. A. (2017). Thematic classification of the thesis abstracts. Eurasian Journal of Mathematical and Computer Applications, 5(1), 74-86. https://doi.org/10.32523/2306-3172-2017-5-1-74-86

Vancouver

Leonova YV, Fedotov AM, Fedotova OA. Thematic classification of the thesis abstracts. Eurasian Journal of Mathematical and Computer Applications. 2017;5(1):74-86. doi: 10.32523/2306-3172-2017-5-1-74-86

Author

Leonova, Y. V. ; Fedotov, A. M. ; Fedotova, O. A. / Thematic classification of the thesis abstracts. In: Eurasian Journal of Mathematical and Computer Applications. 2017 ; Vol. 5, No. 1. pp. 74-86.

BibTeX

@article{56ed2e8758584fcc94196685d0726d25,
title = "Thematic classification of the thesis abstracts",
abstract = "In this paper the method of thematic classification of the thesis abstracts. It uses specially constructed proximity measure documents, taking into account the specificity of the subject area. The values of the weighting coefficients in the formula for calculating the proximity of the proposed measures are defined a posteriori reliability of the corresponding scale data.",
keywords = "Classification, Proximity measure, Scientific thematic, Thesis",
author = "Leonova, {Y. V.} and Fedotov, {A. M.} and Fedotova, {O. A.}",
year = "2017",
doi = "10.32523/2306-3172-2017-5-1-74-86",
language = "English",
volume = "5",
pages = "74--86",
journal = "Eurasian Journal of Mathematical and Computer Applications",
issn = "2306-6172",
publisher = "L. N. Gumilyov Eurasian National University",
number = "1",

}

RIS

TY - JOUR

T1 - Thematic classification of the thesis abstracts

AU - Leonova, Y. V.

AU - Fedotov, A. M.

AU - Fedotova, O. A.

PY - 2017

Y1 - 2017

N2 - In this paper the method of thematic classification of the thesis abstracts. It uses specially constructed proximity measure documents, taking into account the specificity of the subject area. The values of the weighting coefficients in the formula for calculating the proximity of the proposed measures are defined a posteriori reliability of the corresponding scale data.

AB - In this paper the method of thematic classification of the thesis abstracts. It uses specially constructed proximity measure documents, taking into account the specificity of the subject area. The values of the weighting coefficients in the formula for calculating the proximity of the proposed measures are defined a posteriori reliability of the corresponding scale data.

KW - Classification

KW - Proximity measure

KW - Scientific thematic

KW - Thesis

UR - http://www.scopus.com/inward/record.url?scp=85018303606&partnerID=8YFLogxK

U2 - 10.32523/2306-3172-2017-5-1-74-86

DO - 10.32523/2306-3172-2017-5-1-74-86

M3 - Article

AN - SCOPUS:85018303606

VL - 5

SP - 74

EP - 86

JO - Eurasian Journal of Mathematical and Computer Applications

JF - Eurasian Journal of Mathematical and Computer Applications

SN - 2306-6172

IS - 1

ER -

ID: 9024837