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JOURNALS // Eurasian Journal of Mathematical and Computer Applications // Archive

Eurasian Journal of Mathematical and Computer Applications, 2017, Volume 5, Issue 1, Pages 74–86 (Mi ejmca21)

Thematic classification of the thesis abstracts

Yu. V. Leonovaa, A. M. Fedotovab, O. A. Fedotovabc

a Institute of computation technologies of SB RAS, Novosibirsk, 630090, Russia
b Novosibirsk state university, Novosibirsk, 630090, Russia
c State Scientific and Technical Library of SB RAS

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: scientific thematic, thesis, classification, proximity measure.

MSC: 68T50, 91F20

Received: 13.12.2016

Language: English



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