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Approaches to the selection of relevant concepts in the case of noisy data
pp. 255-266
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.
Publication details
Published in:
Kwuida Lonard, Sertkaya Bar (2010) Formal concept analysis: 8th international conference, ICFCA 2010, Agadir, Morocco, march 15-18, 2010. Dordrecht, Springer.
Pages: 255-266
DOI: 10.1007/978-3-642-11928-6_18
Full citation:
Klimushkin Mikhail, Obiedkov Sergei (2010) „Approaches to the selection of relevant concepts in the case of noisy data“, In: L. Kwuida & B. Sertkaya (eds.), Formal concept analysis, Dordrecht, Springer, 255–266.