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Siberian Journal of Pure and Applied Mathematics, 2017, Volume 17, Issue 4, Pages 28–38
DOI: https://doi.org/10.17377/PAM.2017.17.3 (Mi vngu452) 		 
Exploring noisy contexts with probabilistic formal concepts

E. E. Vityaevab, V. V. Martinovicha

a Sobolev Institute of Mathematics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk
b Novosibirsk State University
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DOI: https://doi.org/10.17377/PAM.2017.17.3
Abstract: We propose a qualitatively new approach to the problem of recognizing formal concepts in noisy contexts. A logical probablistic generalization of formal concepts is introduced to handle noise. We show how to solve the inductive inference ambiguity problem.
Keywords: formal concept analysis, concept lattice, inductive learning, probability, data mining, association rules, classification, noise.
Funding agency Grant number
Ministry of Education and Science of the Russian Federation НШ-6848.2016.1
Russian Science Foundation 17-11-01176
Received: 25.10.2017
Document Type: Article
Language: Russian
Citation: E. E. Vityaev, V. V. Martinovich, “Exploring noisy contexts with probabilistic formal concepts”, Sib. J. Pure and Appl. Math., 17:4 (2017), 28–38
Citation in format AMSBIB
\Bibitem{VitMar17}
\by E.~E.~Vityaev, V.~V.~Martinovich
\paper Exploring noisy contexts with probabilistic formal concepts
\jour Sib. J. Pure and Appl. Math.
\yr 2017
\vol 17
\issue 4
\pages 28--38
\mathnet{http://mi.mathnet.ru/vngu452}
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