Approaches to the selection of relevant concepts in the case of noisy data

Authors:
Mikhail Klimushkin;Sergei Obiedkov;Camille Roth
Affiliations:
Higher School of Economics, Moscow, Russia;Higher School of Economics, Moscow, Russia;CAMS (CNRS/EHESS), Centre d’Analyse et de Mathématique Sociales, EHESS, Paris, France
Venue:
ICFCA'10 Proceedings of the 8th international conference on Formal Concept Analysis
Year:
2010

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Abstract

Concept lattices built on noisy data tend to be large and hence hard to interpret. We introduce several measures that can be used in selecting relevant concepts and discuss how they can be combined together. We study their performance in a series of experiments.