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NP-Hardness of Some Data Cleaning Problem Full article

Journal Journal of Applied and Industrial Mathematics
ISSN: 1990-4789 , E-ISSN: 1990-4797
Output data Year: 2021, Volume: 15, Number: 2, Pages: 285-291 Pages count : 7 DOI: 10.1134/S1990478921020095
Tags data cleaning; function of rival similarity; image compactness; NP-hardness
Authors Kutnenko O.A. 1,2 , Plyasunov A.V. 1,2
Affiliations
1 Sobolev Institute of Mathematics, Novosibirsk, 630090, Russian Federation
2 Novosibirsk State University, Novosibirsk, 630090, Russian Federation

Abstract: Abstract: We prove the NP-hardness of the data cleaning problem under study. One of the dataanalysis questions reduces to the problem. As a quantitative assessment of the imagecompactness, we use the function of rival similarity (FRiS-function) by which we evaluate thelocal similarity of objects with their closest neighbors. © 2021, Pleiades Publishing, Ltd.
Cite: Kutnenko O.A. , Plyasunov A.V.
NP-Hardness of Some Data Cleaning Problem
Journal of Applied and Industrial Mathematics. 2021. V.15. N2. P.285-291. DOI: 10.1134/S1990478921020095 Scopus OpenAlex
Original: Кутненко О.А. , Плясунов А.В.
NP-трудность некоторой задачи цензурирования данных
Дискретный анализ и исследование операций. 2021. Т.28. №2. С.60-73. DOI: 10.33048/daio.2021.28.692 OpenAlex
Identifiers:
Scopus: 2-s2.0-85116188441
OpenAlex: W3204397939
Citing:
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Scopus 1
OpenAlex 2
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