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Artificial Intelligence and Decision Making
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Artificial Intelligence and Decision Making, 2010, Issue 2, Pages 64–76 (Mi iipr500)  
This article is cited in 3 scientific papers (total in 3 papers)

Intelligent technologies

Method for compiling general concepts with the use of temporal decision trees

S. G. Antipov, M. V. Fomina

National Research University "Moscow Power Engineering Institute"
Full-text PDF (535 kB) Citations (3)
Abstract: Several approaches to generating temporal decision trees for diagnostic purposes and algorithms for generating decision trees are considered. Process of diagnostics based on information about possible faults is modeled. Multiagent approach is used for diagnosting in dynamics. The work is supported by RFBR.
Keywords: generalization, diagnostics, temporal decision tree.
English version:
Scientific and Technical Information Processing, 2011, Volume 38, Issue 6, Pages 409–419
DOI: https://doi.org/10.3103/S0147688211060025
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: S. G. Antipov, M. V. Fomina, “Method for compiling general concepts with the use of temporal decision trees”, Artificial Intelligence and Decision Making, 2010, no. 2, 64–76; Scientific and Technical Information Processing, 38:6 (2011), 409–419
Citation in format AMSBIB
\Bibitem{AntFom10}
\by S.~G.~Antipov, M.~V.~Fomina
\paper Method for compiling general concepts with the use of temporal decision trees
\jour Artificial Intelligence and Decision Making
\yr 2010
\issue 2
\pages 64--76
\mathnet{http://mi.mathnet.ru/iipr500}
\elib{https://elibrary.ru/item.asp?id=15593578}
\transl
\jour Scientific and Technical Information Processing
\yr 2011
\vol 38
\issue 6
\pages 409--419
\crossref{https://doi.org/10.3103/S0147688211060025}
Linking options:
  • https://www.mathnet.ru/eng/iipr500
  • https://www.mathnet.ru/eng/iipr/y2010/i2/p64
    • This publication is cited in the following 3 articles:
    1. Andrea Brunello, Guido Sciavicco, Ionel Eduard Stan, Lecture Notes in Computer Science, 11468, Logics in Artificial Intelligence, 2019, 778  crossref
    2. Vagin Vadim, Fomina Marina, Morosin Oleg, Antipov Sergey, 2018 International Conference on Advances in Big Data, Computing and Data Communication Systems (icABCD), 2018, 1  crossref
    3. Yiqian Cui, Junyou Shi, Zili Wang, “Power System Fault Reasoning and Diagnosis Based on the Improved Temporal Constraint Network”, IEEE Trans. Power Delivery, 31:3 (2016), 946  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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    Abstract page:35
    Full-text PDF :21
    References:1
     
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