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Erschienen in:
2014 | OriginalPaper | Buchkapitel
Scalable Estimates of Concept Stability
verfasst von : Aleksey Buzmakov, Sergei O. Kuznetsov, Amedeo Napoli
Erschienen in: Formal Concept Analysis
Verlag: Springer International Publishing
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Data mining aims at finding interesting patterns from datasets, where “interesting” means reflecting intrinsic dependencies in the domain of interest rather than just in the dataset. Concept stability is a popular relevancy measure in FCA. Experimental results of this paper show that high stability of a concept for a context derived from the general population suggests that concepts with the same intent in other samples drawn from the population have also high stability. A new estimate of stability is introduced and studied. It is experimentally shown that the introduced estimate gives a better approximation than the Monte Carlo approach introduced earlier.