Knowledge reduction in formal contexts using non-negative matrix factorization

DOI10.1016/j.matcom.2014.08.004OpenAlexW2074725658MaRDI QIDQ2228586

Sérgio M. Dias, Newton J. Vieira, Aswani Kumar Ch.

Publication date: 19 February 2021

Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.matcom.2014.08.004

zbMATH Keywords

singular value decompositionformal concept analysisconcept latticenon-negative matrix factorizationknowledge reduction

Mathematics Subject Classification ID

Computer science (68-XX) General and overarching topics; collections (00-XX)

Related Items (16)

Cloud data processing using granular based weighted concept lattice and Hamming distance ⋮ Comparison of reduction in formal decision contexts ⋮ Formal Methods in FCA and Big Data ⋮ A comprehensive survey on formal concept analysis, its research trends and applications ⋮ Attribute reduction of SE-ISI concept lattices for incomplete contexts ⋮ Granular matrix method of attribute reduction in formal contexts ⋮ Complex vague set based concept lattice ⋮ Quantifying the conceptual error in dimensionality reduction ⋮ Fuzzy concept lattice reduction using Shannon entropy and Huffman coding ⋮ A note on similarity relations between fuzzy attribute-oriented concept lattices ⋮ \(\ast\)-reductions in a knowledge base ⋮ A comparative study of decision implication, concept rule and granular rule ⋮ A fast attribute reduction method for large formal decision contexts ⋮ Attribute reduction in generalized one-sided formal contexts ⋮ A methodology for analysis of concept lattice reduction ⋮ Describing hierarchy of concept lattice by using matrix

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