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 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.

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Publication Details

Journal
Knowledge-Based Systems
Published
2025-04-19
DOI
https://doi.org/10.1016/j.knosys.2025.113475
Primary Topic
Complex Systems and Decision Making
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Manuel Ojeda-Hernández, Domingo López-Rodríguez, Tim Pattison
Knowledge-Based Systems
Complex Systems and Decision Making
article

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

Manuel Ojeda-Hernández, Domingo López-Rodríguez, Tim Pattison
article en

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.

Knowledge-Based SystemsVol. 318
Ministerio de Ciencia, Innovación y Universidades, Kempe Foundation, Agencia Estatal de Investigación
Climate action
Openalex Percentile: Top 91%
Complex Systems and Decision Making
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