Why can concept lattices support knowledge discovery in databases?

DOI10.1080/09528130210164161zbMath1022.68042OpenAlexW1981804253MaRDI QIDQ4409018

Rudolf Wille

Publication date: 28 October 2003

Published in: Journal of Experimental & Theoretical Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/09528130210164161

zbMATH Keywords

information discoveryknowledge creation

Mathematics Subject Classification ID

Database theory (68P15) Knowledge representation (68T30) Lattices (06B99)

Related Items (10)

Reconstructing concept lattices usingnth-order context kernels ⋮ Comparison of reduction in formal decision contexts ⋮ Computing Dependencies Using FCA ⋮ Granular matrix method of attribute reduction in formal contexts ⋮ Formal query systems on contexts and a representation of algebraic lattices ⋮ Biclustering meets triadic concept analysis ⋮ A fast attribute reduction method for large formal decision contexts ⋮ Characterizing functional dependencies in formal concept analysis with pattern structures ⋮ Analysis of Social Communities with Iceberg and Stability-Based Concept Lattices ⋮ Data mining algorithms to compute mixed concepts with negative attributes: an application to breast cancer data analysis

Cites Work

• Information Flow
• Mathematical logic in knowledge processing. Historical-philosophical reasons for a contextual logic
• Unnamed Item

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