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35

ICFCA
2010
Springer

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260views Formal Methods» more ICFCA 2010»

Approaches to the Selection of Relevant Concepts in the Case of Noisy Data

14 years 6 months ago

Approaches to the Selection of Relevant Concepts in the Case of Noisy Data

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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.

Mikhail Klimushkin, Sergei A. Obiedkov, Camille Ro

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Concept Lattices | Formal Languages | ICFCA 2010 | Noisy Data | Relevant Concepts |

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Added	18 May 2010
Updated	18 May 2010
Type	Conference
Year	2010
Where	ICFCA
Authors	Mikhail Klimushkin, Sergei A. Obiedkov, Camille Roth

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