Selecting Important Concepts Using Weights

DOI10.1007/978-3-642-20514-9_7zbMath1326.68282OpenAlexW1867371532MaRDI QIDQ3003409

Juraj Macko, Radim Bělohlávek

Publication date: 27 May 2011

Published in: Formal Concept Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-642-20514-9_7

Mathematics Subject Classification ID

Knowledge representation (68T30)

Related Items (13)

Cloud data processing using granular based weighted concept lattice and Hamming distance ⋮ Formal Methods in FCA and Big Data ⋮ A comprehensive survey on formal concept analysis, its research trends and applications ⋮ Fuzzy concept lattice reduction using Shannon entropy and Huffman coding ⋮ Mining for Unknown Unknowns ⋮ On interestingness measures of formal concepts ⋮ Ordinal motifs in lattices ⋮ Knowledge reduction in formal contexts using non-negative matrix factorization ⋮ Attribute reduction in intuitionistic fuzzy concept lattices ⋮ Approximating concept stability using variance reduction techniques ⋮ A methodology for analysis of concept lattice reduction ⋮ Bipolar fuzzy concept learning using next neighbor and Euclidean distance ⋮ An Efficient Approximation of Concept Stability Using Low-Discrepancy Sampling

Cites Work

• Attribute exploration with background knowledge
• A PARAMETERIZED ALGORITHM TO EXPLORE FORMAL CONTEXTS WITH A TAXONOMY
• Formal Concept Analysis
• Formal Concept Analysis with Constraints by Closure Operators
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