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Sibirskii Zhurnal Industrial'noi Matematiki, 2014, Volume 17, Number 2, Pages 50–58 (Mi sjim832)  
This article is cited in 1 scientific paper (total in 1 paper)

Detecting mistakes and filling gaps in data cubes

N. G. Zagoruykoa, V. V. Tatarnikovb

a Sobolev Institute of Mathematics SB RAS, 4 Koptug av., 630090 Novosibirsk
b Novosibirsk State University, 2 Pirogova st., 630090 Novosibirsk
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Abstract: We consider the family of ZET algorithms, designed to detect gross errors and gaps in “object-parameter” data tables and “object-parameter-time” data cubes. To work with each element of the table, we use information not from the entire table but only out of its “competent” subtable. We also consider methods of selecting a competent subtable having tools for avoiding falling into local extreme. The example is exhibited of a ZET algorithm for solving some applied problem.
Keywords: gap filling, rival similarity function.
Received: 24.01.2014
English version:
Journal of Applied and Industrial Mathematics, 2014, Volume 8, Issue 3, Pages 444–451
DOI: https://doi.org/10.1134/S1990478914030181
Bibliographic databases:
Document Type: Article
UDC: 519.95
Language: Russian
Citation: N. G. Zagoruyko, V. V. Tatarnikov, “Detecting mistakes and filling gaps in data cubes”, Sib. Zh. Ind. Mat., 17:2 (2014), 50–58; J. Appl. Industr. Math., 8:3 (2014), 444–451
Citation in format AMSBIB
\Bibitem{ZagTat14}
\by N.~G.~Zagoruyko, V.~V.~Tatarnikov
\paper Detecting mistakes and filling gaps in data cubes
\jour Sib. Zh. Ind. Mat.
\yr 2014
\vol 17
\issue 2
\pages 50--58
\mathnet{http://mi.mathnet.ru/sjim832}
\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=3379239}
\transl
\jour J. Appl. Industr. Math.
\yr 2014
\vol 8
\issue 3
\pages 444--451
\crossref{https://doi.org/10.1134/S1990478914030181}
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    • 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
    		Сибирский журнал индустриальной математики
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