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Informatika i Ee Primeneniya [Informatics and its Applications], 2016, Volume 10, Issue 1, Pages 72–81
DOI: https://doi.org/10.14357/19922264160107
(Mi ia405)
 

This article is cited in 10 scientific papers (total in 10 papers)

Concept of online service for stochastic modeling of real processes

A. K. Gorsheninab

a Institute of Informatics Problems, Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119333, Russian Federation
b Moscow Technological University (MIREA), 78 Vernadskogo Ave., Moscow 119454, Russian Federation
References:
Abstract: Information flows analysis based on various probabilistic models is widely used in various applied fields. The article describes the basic principles of construction of the new online system for stochastic modeling of real processes, which has no analogue due to the universality of the set of methods and the concept of an Internet resource; so, the end user should not check personal computer’s specifications and could upload data to the server immediately and then process the samples.
Keywords: probability mixtures; moving separation of mixtures; data mining; online software; matrix computing.
Funding agency Grant number
Russian Foundation for Basic Research 15-37-20851_ìîë_à_âåä
The research was supported by the Russian Foundation for Basic Research (project 15-37-20851).
Received: 06.02.2016
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: A. K. Gorshenin, “Concept of online service for stochastic modeling of real processes”, Inform. Primen., 10:1 (2016), 72–81
Citation in format AMSBIB
\Bibitem{Gor16}
\by A.~K.~Gorshenin
\paper Concept of online service for stochastic modeling of real processes
\jour Inform. Primen.
\yr 2016
\vol 10
\issue 1
\pages 72--81
\mathnet{http://mi.mathnet.ru/ia405}
\crossref{https://doi.org/10.14357/19922264160107}
\elib{https://elibrary.ru/item.asp?id=26008732}
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  • https://www.mathnet.ru/eng/ia/v10/i1/p72
  • This publication is cited in the following 10 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
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