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Titlebook: Complex Data Analytics with Formal Concept Analysis; Rokia Missaoui,Léonard Kwuida,Talel Abdessalem Book 2022 The Editor(s) (if applicable

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FCA2VEC: Embedding Techniques for Formal Concept Analysis,ec approach in low dimension. For both directions the overall constraint of FCA of explainable results is preserved. We evaluate our novel procedures by computing fca2vec on different data sets like, wiki44 (a dense part of the Wikidata knowledge graph), the Mushroom data set and a publication network derived from the FCA community.
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Dealing with Large Volumes of Complex Relational Data Using RCA,ets with RCA. We also show how pattern extraction combined with the presentation of data in hierarchical structures is appropriate for the analysis of temporal datasets by the domain expert. Finally, we discuss about the possible directions to investigate.
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Towards Distributivity in FCA for Phylogenetic Data,emilattice, using the FCA formalism, we investigate the following problem: Given a semilattice . obtained from a lattice by deletion of the bottom element, is there a minimum distributive ∨-semilattice .. such that . can be order embedded into ..? We give a negative answer to this question by providing a counter-example.
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Triclustering in Big Data Setting,e to the independent processing of triples of a triadic formal context. We provide time and space complexity of the algorithms and justify their relevance. We also compare performance gain from using a distributed system and scalability.
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Biosynthesis of Plant-Derived Odorants of promising theoretical and practical applications of FCA that could be used to solve the problem of dealing with big data. Furthermore, we propose some directions for future research to solve this problem.
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Rokia Missaoui,Léonard Kwuida,Talel AbdessalemCovers the state of the art of the research on the intersection of FCA and complex data analysis.An important approach for designing new, accurate, and scalable solutions for big data analytics facili
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