On interestingness measures of formal concepts

DOI10.1016/j.ins.2018.02.032zbMath1440.68282arXiv1611.02646OpenAlexW2554706030MaRDI QIDQ2198028

Sergei O. Kuznetsov, Tatiana Makhalova

Publication date: 8 September 2020

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1611.02646

zbMATH Keywords

formal concept analysisinterestingness measuresclosed itemsets

Mathematics Subject Classification ID

Knowledge representation (68T30)

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Cites Work

• Triadic formal concept analysis and triclustering: searching for optimal patterns
• Triangular norms
• On stability of a formal concept
• Approximating Concept Stability
• Basic Level of Concepts in Formal Concept Analysis
• Selecting Important Concepts Using Weights
• Approaches to the Selection of Relevant Concepts in the Case of Noisy Data
• Performances of Galois Sub-hierarchy-building Algorithms
• Computing iceberg concept lattices with Titanic
• Scalable Estimates of Concept Stability
• Finding Robust Itemsets under Subsampling
• Simplifying Contextual Structures
• Concepts of a Discrete Random Variable
• Analysis of Social Communities with Iceberg and Stability-Based Concept Lattices
• Towards Concise Representation for Taxonomies of Epistemic Communities
• Formal Concept Analysis
• A NEW MEASURE OF RANK CORRELATION
• Concept decompositions for large sparse text data using clustering
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