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• W1585451886 abstract "In this paper we propose an approach which combines semantic resources and formal concept analysis to deal with heterogenous data sets represented as many-valued (MV) formal contexts. We define a new Galois connection considering the semantic relationships between attribute values in a MV context. The semantic relationships are used to calculate the similarity between attribute values to decide whether an attribute is shared by a set of objects or not. Then, based on this Galois connection, we define MV formal concepts and MV concept lattices. Depending on a chosen similarity threshold, MV concept lattices may have different levels of precision. We take advantage of this feature to browse the content of a biological databases repository in a dynamic and progressive way. The browsing process combines the navigation in several MV concept lattices and allows zooming operations by switching between MV concept lattices with higher or lower precision." @default.
• W1585451886 created "2016-06-24" @default.
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• W1585451886 date "2010-08-04" @default.
• W1585451886 modified "2023-09-24" @default.
• W1585451886 title "Using Domain Knowledge to Guide Lattice-based Complex Data Exploration" @default.
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• W1585451886 doi "https://doi.org/10.3233/978-1-60750-606-5-847" @default.
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