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        <datestamp>2026-01-21T10:15:32Z</datestamp>
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          <dc:title>Distances Between Formal Concept Analysis Structures</dc:title>
          <dc:creator>Bazin, Alexandre</dc:creator>
          <dc:creator>Kahn, Giacomo</dc:creator>
          <dc:subject>Formal Concept Analysis</dc:subject>
          <dc:subject>Implication Base</dc:subject>
          <dc:subject>Concept Lattice</dc:subject>
          <dc:subject>Pattern Mining</dc:subject>
          <dc:subject>Ordinal Data Science</dc:subject>
          <dc:description>In this paper, we study the notion of distance between the most important structures of formal concept analysis: formal contexts, concept lattices, and implication bases. We first define three families of Minkowski-like distances between these three structures. We then present experiments showing that the correlations of these distances are low and depend on the distance between formal contexts.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Alexandre Bazin and Giacomo Kahn</dc:contributor>
          <dc:date>2025</dc:date>
          <dc:relation>Is Part Of TGDK, Volume 3, Issue 2 (2025). Transactions on Graph Data and Knowledge, Volume 3, Issue 2</dc:relation>
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          <dc:identifier>doi:10.4230/TGDK.3.2.2</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-248126</dc:identifier>
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          <dc:language>eng</dc:language>
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