Geodesic
Exploring noisy contexts with probabilistic formal concepts
Sibirskij žurnal čistoj i prikladnoj matematiki, Tome 17 (2017) no. 4, pp. 28-38

Voir la notice de l'article provenant de la source Math-Net.Ru

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
Mots-clés : association rules, classification, noise. 
@article{VNGU_2017_17_4_a2,
     author = {E. E. Vityaev and V. V. Martinovich},
     title = {Exploring noisy contexts with probabilistic formal concepts},
     journal = {Sibirskij \v{z}urnal \v{c}istoj i prikladnoj matematiki},
     pages = {28--38},
     publisher = {mathdoc},
     volume = {17},
     number = {4},
     year = {2017},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/VNGU_2017_17_4_a2/}
}
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E. E. Vityaev; V. V. Martinovich. Exploring noisy contexts with probabilistic formal concepts. Sibirskij žurnal čistoj i prikladnoj matematiki, Tome 17 (2017) no. 4, pp. 28-38. http://geodesic.mathdoc.fr/item/VNGU_2017_17_4_a2/