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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
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
Linking options:
https://www.mathnet.ru/eng/vngu452 https://www.mathnet.ru/eng/vngu/v17/i4/p28
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Abstract page: | 201 | Full-text PDF : | 41 | References: | 29 | First page: | 11 |
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