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JOURNALS // Siberian Journal of Pure and Applied Mathematics // Archive

Sib. J. Pure and Appl. Math., 2017 Volume 17, Issue 4, Pages 28–38 (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

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.

Received: 25.10.2017

DOI: 10.17377/PAM.2017.17.3



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