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• W2627031813 abstract "In this article we introduce a method for sampling formal concepts using locality sensitive hashing (LSH). LSH is a technique used for finding approximate nearest neighbours given a set of hashing functions. Through our approach, we are able to predict the probability of an extent in the concept lattice given set of objects and their similarity index, a generalization of the Jaccard similarity between sets. Our approach allows defining a lattice-based amplification construction to design arbitrarily discriminative sampling settings." @default.
• W2627031813 created "2017-06-23" @default.
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• W2627031813 date "2017-01-01" @default.
• W2627031813 modified "2023-10-18" @default.
• W2627031813 title "On Locality Sensitive Hashing for Sampling Extent Generators" @default.
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• W2627031813 doi "https://doi.org/10.1007/978-3-319-60438-1_62" @default.
• W2627031813 hasPublicationYear "2017" @default.
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