Performance-friendly rule extraction in large water data-sets with AOC posets and relational concept analysis

DOI10.1080/03081079.2015.1072927zbMath1365.68413OpenAlexW2292192410MaRDI QIDQ2817084

Corinne Grac, Florence Le Ber, Xavier Dolques, Marianne Huchard

Publication date: 29 August 2016

Published in: International Journal of General Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03081079.2015.1072927

zbMATH Keywords

formal concept analysisrelational concept analysisimplication ruleswater data-set

Mathematics Subject Classification ID

Knowledge representation (68T30)

Related Items (2)

Relational concept analysis in practice: capitalizing on data modeling using design patterns ⋮ \textsc{RCA-seq}: an original approach for enhancing the analysis of sequential data based on hierarchies of multilevel closed partially-ordered patterns

Cites Work

• Relational concept analysis: mining concept lattices from multi-relational data
• The multiple facets of the canonical direct unit implicational basis
• Relational concept discovery in structured datasets
• Galois Lattice as a Framework to Specify Building Class Hierarchies Algorithms
• Inductive Logic Programming: Theory and methods
• Computing iceberg concept lattices with Titanic
• Soundness and Completeness of Relational Concept Analysis
• RCA as a Data Transforming Method: A Comparison with Propositionalisation
• Concept Lattices

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