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Artificial Intelligence and Decision Making
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Artificial Intelligence and Decision Making, 2017, Issue 2, Pages 9–16 (Mi iipr241)  
This article is cited in 2 scientific papers (total in 2 papers)

Data analysis

VKF-method of intelligent data analysis: current state of the art and open problems

D. V. Vinogradov

Federal Research Center "Computer Science and Control" of Russian Academy of Sciences, Moscow
Full-text PDF (471 kB) Citations (2)
Abstract: The paper describes current state of the art for VKF-method of intelligent data analysis. This method combines three cognitive procedures (induction, abduction, and analogy) based on probabilistic algorithm for similarity calculation. We demonstrate main results and formulate open problems to investigate them.
Keywords: similarity, Markov chain, VKF-candidate, counter-example, prediction by analogy.
English version:
Scientific and Technical Information Processing, 2018, Volume 45, Issue 6, Pages 411–416
DOI: https://doi.org/10.3103/S0147688218060102
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: D. V. Vinogradov, “VKF-method of intelligent data analysis: current state of the art and open problems”, Artificial Intelligence and Decision Making, 2017, no. 2, 9–16; Scientific and Technical Information Processing, 45:6 (2018), 411–416
Citation in format AMSBIB
\Bibitem{Vin17}
\by D.~V.~Vinogradov
\paper VKF-method of intelligent data analysis: current state of the art and open problems
\jour Artificial Intelligence and Decision Making
\yr 2017
\issue 2
\pages 9--16
\mathnet{http://mi.mathnet.ru/iipr241}
\elib{https://elibrary.ru/item.asp?id=29430097}
\transl
\jour Scientific and Technical Information Processing
\yr 2018
\vol 45
\issue 6
\pages 411--416
\crossref{https://doi.org/10.3103/S0147688218060102}
Linking options:
  • https://www.mathnet.ru/eng/iipr241
  • https://www.mathnet.ru/eng/iipr/y2017/i2/p9
    • This publication is cited in the following 2 articles:
    1. D. V. Vinogradov, L. A. Iakimova, “Probabilistic Approach to Good Old-Fashioned Artificial Intelligence”, Autom. Doc. Math. Linguist., 58:2 (2024), 135  crossref
    2. D. V. Vinogradov, “On Computational Efficiency of Knowledge Extraction by Probabilistic Algorithms”, Sci. Tech. Inf. Proc., 51:6 (2024), 577  crossref
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Artificial Intelligence and Decision Making
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    Full-text PDF :23
    References:1
     
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