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.