Systems of implications obtained using the Carve decomposition of a formal context

The Carve algorithm uses a divide-and-conquer strategy to compute the concept lattice of a formal context. The decomposition phase of the Carve algorithm discovers hierarchical structure in an amenable formal context, which the synthesis phase then exploits to construct the concept lattice from thos...

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Published in:Knowledge-based systems Vol. 318; p. 113475
Main Authors: López-Rodríguez, Domingo, Ojeda-Hernández, Manuel, Pattison, Tim
Format: Journal Article
Language:English
Published: Elsevier B.V 07.06.2025
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ISSN:0950-7051, 1872-7409
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Abstract The Carve algorithm uses a divide-and-conquer strategy to compute the concept lattice of a formal context. The decomposition phase of the Carve algorithm discovers hierarchical structure in an amenable formal context, which the synthesis phase then exploits to construct the concept lattice from those of the component sub-contexts. In this paper, the problem of computing a sound and complete set of attribute implications via a refinement of the Carve decomposition is studied. Indeed, a set of rules is devised to obtain a set of valid implications which is proved to be complete. The refined decomposition and these rules are implemented in the novel Carve+ algorithm, whose runtime compares favorably with direct computation of the Duquenne–Guigues base of implications via the NextClosure algorithm.
AbstractList The CARVE algorithm uses a divide-and-conquer strategy to compute the concept lattice of a formal context. The decomposition phase of the CARVE algorithm discovers hierarchical structure in an amenable formal context, which the synthesis phase then exploits to construct the concept lattice from those of the component sub-contexts. In this paper, the problem of computing a sound and complete set of attribute implications via a refinement of the CARVE decomposition is studied. Indeed, a set of rules is devised to obtain a set of valid implications which is proved to be complete. The refined decomposition and these rules are implemented in the novel CARVE+ algorithm, whose runtime compares favorably with direct computation of the Duquenne–Guigues base of implications via the NEXTCLOSURE algorithm.
ArticleNumber 113475
Author Ojeda-Hernández, Manuel
López-Rodríguez, Domingo
Pattison, Tim
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  givenname: Tim
  surname: Pattison
  fullname: Pattison, Tim
  email: tim.pattison@ieee.org
  organization: Defence Science and Technology Group, West Avenue, Edinburgh, SA 5111, Australia
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Keywords Formal concept analysis
06A15
Divide-and-conquer algorithms
03B70
Attribute implications
06-04
Knowledge representation
Implicational systems
Language English
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Snippet The Carve algorithm uses a divide-and-conquer strategy to compute the concept lattice of a formal context. The decomposition phase of the Carve algorithm...
The CARVE algorithm uses a divide-and-conquer strategy to compute the concept lattice of a formal context. The decomposition phase of the CARVE algorithm...
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SubjectTerms Attribute implications
Divide-and-conquer algorithms
Formal concept analysis
Implicational systems
Knowledge representation
Title Systems of implications obtained using the Carve decomposition of a formal context
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