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Complex Data Analytics with Formal Concept Analysis, 2022

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  - books/sp/MissaouiKA22
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Rokia Missaoui, Léonard Kwuida, Talel Abdessalem:
Complex Data Analytics with Formal Concept Analysis. Springer International Publishing 2022, ISBN 978-3-030-93278-7
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Léonard Kwuida, Rokia Missaoui:
Formal Concept Analysis and Extensions for Complex Data Analytics. 1-15
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Sébastien Ferré:
Conceptual Navigation in Large Knowledge Graphs. 17-45
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Dominik Dürrschnabel, Tom Hanika, Maximilian Stubbemann:
FCA2VEC: Embedding Techniques for Formal Concept Analysis. 47-74
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Karell Bertet, Christophe Demko, Salah Eddine Boukhetta, Jérémy Richard, Cyril Faucher:
Analysis of Complex and Heterogeneous Data Using FCA and Monadic Predicates. 75-103
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Agnès Braud, Xavier Dolques, Alain Gutierrez, Marianne Huchard, Priscilla Keip, Florence Le Ber, Pierre Martin, Cristina Nica, Pierre Silvie:
Dealing with Large Volumes of Complex Relational Data Using RCA. 105-134
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Jaume Baixeries, Víctor Codocedo, Mehdi Kaytoue, Amedeo Napoli:
Computing Dependencies Using FCA. 135-150
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Meryem Bendella, Mohamed Quafafou:
Leveraging Closed Patterns and Formal Concept Analysis for Enhanced Microblogs Retrieval. 151-166
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Tim Pattison, Manuel Enciso, Ángel Mora, Pablo Cordero, Derek Weber, Michael Broughton:
Scalable Visual Analytics in FCA. 167-200
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Domingo López-Rodríguez, Emilio Muñoz-Velasco, Manuel Ojeda-Aciego:
Formal Methods in FCA and Big Data. 201-224
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Alain Gély, Miguel Couceiro, Amedeo Napoli:
Towards Distributivity in FCA for Phylogenetic Data. 225-237
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Dmitry Egurnov, Dmitry I. Ignatov, Dmitry Tochilkin:
Triclustering in Big Data Setting. 239-258

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