1. Sébastien Ferré and Peggy Cellier. Graph-FCA: An extension of formal concept analysis to knowledge graphs. Discrete Applied Mathematics, 273(5):81-102, 2020. [WWW] [doi:https://doi.org/10.1016/j.dam.2019.03.003] Keyword(s): Formal concept analysis, Knowledge graph, Semantic web, Graph homomorphism. [Abstract] [bibtex-entry]



2. Peggy Cellier, Sébastien Ferré, Olivier Ridoux, and Mireille Ducassé. A Parameterized Algorithm to Explore Formal Contexts with a Taxonomy. Int. J. Foundations of Computer Science (IJFCS), 19(2):319-343, 2008. Keyword(s): algorithm, concept lattice, taxonomy. [Abstract] [bibtex-entry]



3. Sébastien Ferré and R. D. King. Finding Motifs in Protein Secondary Structure for Use in Function Prediction. Journal of Computational Biology, 13(3):719-731, 2006. Keyword(s): functional genomics, protein secondary structure, flexible motifs, dichotomic search algorithm. [bibtex-entry]



4. Sébastien Ferré and R. D. King. A dichotomic search algorithm for mining and learning in domain-specific logics. Fundamenta Informaticae -- Special Issue on Advances in Mining Graphs, Trees and Sequences, 66(1-2):1-32, 2005. [PDF] Keyword(s): machine learning, logic, concept analysis, data-mining, logic functors. [Abstract] [bibtex-entry]

1. Francesco Bariatti, Peggy Cellier, and Sébastien Ferré. GraphMDL+: interleaving the generation and MDL-based selection of graph patterns. In Chih-Cheng Hung, Jiman Hong, Alessio Bechini, and Eunjee Song, editors, ACM/SIGAPP Symp. Applied Computing (SAC), pages 355-363, 2021. ACM. [WWW] [doi:10.1145/3412841.3441917] [Abstract] [bibtex-entry]



2. Francesco Bariatti, Peggy Cellier, and Sébastien Ferré. GraphMDL : sélection de motifs de graphes avec le principe MDL. In Extraction et Gestion des Connaissances (EGC), Bruxelles, Belgium, 2020. [WWW] [PDF] [Abstract] [bibtex-entry]



3. Francesco Bariatti, Peggy Cellier, and Sébastien Ferré. GraphMDL Visualizer: Interactive Visualization of Graph Patterns. In Graph Embedding and Mining (GEM), an ECML-PKDD workshop, 2020. [WWW] Keyword(s): graph mining, graph pattern, MDL principle, visualization. [Abstract] [bibtex-entry]



4. Francesco Bariatti, Peggy Cellier, and Sébastien Ferré. GraphMDL: Graph Pattern Selection based on Minimum Description Length. In Symposium on Intelligent Data Analysis (IDA), 2020. [WWW] [PDF] Keyword(s): Minimum Description Length, Graph Mining, Pattern Mining. [Abstract] [bibtex-entry]



5. Sébastien Ferré. Answers Partitioning and Lazy Joins for Efficient Query Relaxation and Application to Similarity Search. In A. Gangemi and others, editors, Int. Conf. The Semantic Web (ESWC), LNCS 10843, pages 209-224, 2018. Springer. [WWW] [doi:10.1007/978-3-319-93417-4_14] Keyword(s): query relaxation, approximate answer, similarity search, semantic similarity, TDF, graph pattern, partition, join. [Abstract] [bibtex-entry]



6. Sébastien Ferré. Concepts de plus proches voisins dans des graphes de connaissances. In 28es Journées francophones d'Ingénierie des Connaissances (IC), pages 163-174, 2017. [WWW] [PDF] Keyword(s): semantic web, knowledge graph, nearest neighbours, concept. [Abstract] [bibtex-entry]



7. Sébastien Ferré and Peggy Cellier. Graph-FCA in Practice. In O. Haemmerlé, G. Stapleton, and C. Faron-Zucker, editors, Int. Conf. Conceptual Structures (ICCS) - Graph-Based Representation and Reasoning, LNCS 9717, pages 107-121, 2016. Springer. [WWW] [doi:10.1007/978-3-319-40985-6_9] Keyword(s): formal concept analysis, knowledge graph, graph pattern, algorithm. [Abstract] [bibtex-entry]



8. Peggy Cellier, Mireille Ducassé, Sébastien Ferré, and Olivier Ridoux. Multiple Fault Localization with Data Mining. In Int. Conf. on Software Engineering & Knowledge Engineering, pages 238-243, 2011. Knowledge Systems Institute Graduate School. Keyword(s): data mining, software engineering, debugging, association rules, formal concept analysis. [Abstract] [bibtex-entry]



9. Peggy Cellier, Sébastien Ferré, Olivier Ridoux, and Mireille Ducassé. A Parameterized Algorithm for Exploring Concept Lattices. In S.O. Kuznetsov and S. Schmidt, editors, Int. Conf. Formal Concept Analysis, LNAI 4390, pages 114-129, 2007. Springer. Keyword(s): concept analysis, algorithm, taxonomy. [Abstract] [bibtex-entry]



10. Sébastien Ferré. The Efficient Computation of Complete and Concise Substring Scales with Suffix Trees. In S.O. Kuznetsov and S. Schmidt, editors, Int. Conf. Formal Concept Analysis, LNAI 4390, pages 98-113, 2007. Springer. Keyword(s): concept analysis, logic, string, suffix tree. [Abstract] [bibtex-entry]



11. Peggy Cellier, Sébastien Ferré, Olivier Ridoux, and Mireille Ducassé. An Algorithm to Find Frequent Concepts of a Formal Context with Taxonomy. In S. Ben Yahia and E. Mephu Nguifo, editors, Int. Conf. Concept Lattices and Their Applications, LNAI 4932, pages 243-248, 2006. Springer. [PDF] Keyword(s): concept analysis, algorithm, taxonomy. [Abstract] [bibtex-entry]



12. Sébastien Ferré. The Use of Associative Concepts for Fast Incremental Concept Formation in Sparse Contexts. In B. Ganter and A. de Moor, editors, Using Conceptual Structures -- Contributions to ICCS 2003, 2003. Shaker Verlag. [PDF] Keyword(s): concept analysis, associative concept, lattice, algorithm, sparse context. [bibtex-entry]

1. Sébastien Ferré and Olivier Ridoux. Logic Functors: A Toolbox of Components for Building Customized and Embeddable Logics. Research Report RR-5871, Irisa, March 2006. [WWW] Keyword(s): logic, components, modules and functors, theorem provers, type checking, application developpement. [Abstract] [bibtex-entry]



2. Sébastien Ferré. Incremental Concept Formation made More Efficient by the Use of Associative Concepts. Research Report RR-4569, Inria, Institut National de Recherche en Informatique et en Automatique, October 2002. [WWW] Keyword(s): context, concept lattice, Galois lattice, incremental algorithm, complexity. [Abstract] [bibtex-entry]

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