Novosibirsk State University Journal of Information Technologies
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS



Novosibirsk State University Journal of Information Technologies:
Year:
Volume:
Issue:
Page:
Find






Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register


Novosibirsk State University Journal of Information Technologies, 2017, Volume 15, Issue 1, Pages 79–88 (Mi jit24)  

This article is cited in 1 scientific paper (total in 1 paper)

On the Approach to the Thematic Classification of Documents

A. M. Fedotova, O. V. Prozorovb, O. A. Fedotovac, A. A. Bapanovd

a Insitute of Computational Technologies SB RAS, 6 Acad. Lavrentiev Ave., Novosibirsk, 630090, Russian Federation
b Novosibirsk State University, 2 Pirogov Str., Novosibirsk, 630090, Russian Federation
c State Public Scientific and Technical Library SB RAS, 15 Voskhod Str., Novosibirsk, 630200, Russian Federation
d L. N. Gumilyov Eurasian National University, 2 Satpaev Str., Astana, 010000, Kazakhstan
Full-text PDF Citations (1)
References:
Abstract: The work is devoted to the analysis of approaches and algorithms for the classification of text documents. The approach to the thematic classification of documents is considered. For this purpose, a specially constructed measure of the proximity of documents is used, taking into account the specifics of the subject area. The values of the weight coefficients in the formula for computing the proximity measure are determined by the assumed a priori reliability of the data of the corresponding scale.
Keywords: document, coordinate indexing, measure of proximity, nominal scale.
Bibliographic databases:
Document Type: Article
UDC: 004.91
Language: Russian
Linking options:
  • https://www.mathnet.ru/eng/jit24
  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Novosibirsk State University Journal of Information Technologies
    Statistics & downloads:
    Abstract page:70
    Full-text PDF :6
    References:19
     
      Contact us:
     Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024