Thematic classification of the thesis abstracts

Y. V. Leonova; A. M. Fedotov; O. A. Fedotova

doi:10.32523/2306-3172-2017-5-1-74-86

Thematic classification of the thesis abstracts

Y. V. Leonova, A. M. Fedotov, O. A. Fedotova

Результат исследования: Научные публикации в периодических изданиях › статья › рецензирование

Аннотация

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.

Язык оригинала	английский
Страницы (с-по)	74-86
Число страниц	13
Журнал	Eurasian Journal of Mathematical and Computer Applications
Том	5
Номер выпуска	1
DOI	https://doi.org/10.32523/2306-3172-2017-5-1-74-86
Состояние	Опубликовано - 2017

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

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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",

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journal = "Eurasian Journal of Mathematical and Computer Applications",

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

В: Eurasian Journal of Mathematical and Computer Applications, Том 5, № 1, 2017, стр. 74-86.

Результат исследования: Научные публикации в периодических изданиях › статья › рецензирование

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T1 - Thematic classification of the thesis abstracts

AU - Leonova, Y. V.

AU - Fedotov, A. M.

AU - Fedotova, O. A.

PY - 2017

Y1 - 2017

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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

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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 -

Thematic classification of the thesis abstracts

Аннотация

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