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Sibirskii Zhurnal Industrial'noi Matematiki, 2014, Volume 17, Number 2, Pages 50–58
(Mi sjim832)
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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
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
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
Linking options:
https://www.mathnet.ru/eng/sjim832 https://www.mathnet.ru/eng/sjim/v17/i2/p50
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