1. Peggy Cellier, Thierry Charnois, Andreas Hotho, Stan Matwin, Marie-Francine Moens, and Yannick Toussaint, editors. Proceedings of the Workshop on Interactions between Data Mining and Natural Language Processing, DMNLP 2017, co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML-PKDD 2017, Skopje, Macedonia, September 22, 2017, volume 1880 of CEUR Workshop Proceedings, 2017. CEUR-WS.org. [WWW] [bibtex-entry]



2. Peggy Cellier, Thierry Charnois, Andreas Hotho, Stan Matwin, Marie-Francine Moens, and Yannick Toussaint, editors. Proceedings of the Workshop on Interactions between Data Mining and Natural Language Processing, DMNLP 2016, co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML-PKDD 2016, Riva del Garda, Italy, September 23, 2016, volume 1646 of CEUR Workshop Proceedings, 2016. CEUR-WS.org. [WWW] [bibtex-entry]



3. Peggy Cellier, Thierry Charnois, Andreas Hotho, Stan Matwin, Marie-Francine Moens, and Yannick Toussaint, editors. Proceedings of the Workshop on Interactions between Data Mining and Natural Language Processing, DMNLP 2015, co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML-PKDD 2015, volume 1410 of CEUR Workshop Proceedings, 2015. CEUR-WS.org. [bibtex-entry]



4. Peggy Cellier, Thierry Charnois, Andreas Hotho, Stan Matwin, Marie-Francine Moens, and Yannick Toussaint, editors. Proceedings of the Workshop on Interactions between Data Mining and Natural Language Processing, DMNLP 2014, co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML-PKDD 2014, volume 1202 of CEUR Workshop Proceedings, 2014. CEUR-WS.org. [bibtex-entry]

1. Pierre Allard. Logical modeling of multidimensional analysis of multivalued relations - Application to geographic data exploration. PhD thesis, Thèse de l'Université de Rennes 1 - École doctorale MATISSE, 12 décembre 2011. Note: Supervised by S. Ferré and O. Ridoux. [Abstract] [bibtex-entry]

1. Carlos Bobed, Pierre Maillot, Peggy Cellier, and Sébastien Ferré. Data-driven Assessment of Structural Evolution of RDF Graphs. Semantic Web: Interoperability, Usability, Applicability, 11:831-853, 2020. [WWW] Keyword(s): semantic web, data mining, data quality, data evolution, data-driven approach, MDL principle. [Abstract] [bibtex-entry]



2. Nicolas Béchet, Peggy Cellier, Thierry Charnois, and Bruno Crémilleux. Fouille de motifs séquentiels pour la découverte de relations entre gènes et maladies rares. Revue d'Intelligence Artificielle, 28(2-3):245-270, 2014. Keyword(s): data mining, sequential patterns, information extraction, linguistic patterns, rare diseases. [Abstract] [bibtex-entry]



3. 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. Sébastien Ferré and Peggy Cellier. How Hierarchies of Concept Graphs Can Facilitate the Interpretation of RCA Lattices?. In D. I. Ignatov and L. Nourine, editors, Int. Conf. Concept Lattices and Their Applications (CLA), CEUR 2123, pages 69-80, 2018. CEUR-WS.org. [WWW] [PDF] Keyword(s): formal concept analysis, relational concept analysis, data mining, concept graph. [Abstract] [bibtex-entry]



2. Solen Quiniou, Peggy Cellier, and Thierry Charnois. Fouille de données pour associer des noms de sessions aux articles scientifiques. In Brigitte Bigi, editor, Défi Fouille de Textes - DEFT 2014 (Atelier TALN), 2014. Laboratoire Parole et Langage. Note: ISBN: 978-2-9518233-6-5. Keyword(s): data mining, sequence mining, graph mining, paper categorisation. [Abstract] [bibtex-entry]



3. Nicolas Béchet, Peggy Cellier, Thierry Charnois, and Bruno Crémilleux. Discovering Linguistic Patterns Using Sequence Mining. In Alexander F. Gelbukh, editor, Int. Conf. on Computational Linguistics and Intelligent Text Processing (CICLing), volume 7181 of LNCS, pages 154-165, 2012. Springer. Keyword(s): data mining, sequential patterns, linguistic pattern, natural language processing. [bibtex-entry]



4. Nicolas Béchet, Peggy Cellier, Thierry Charnois, and Bruno Crémilleux. Fouille de motifs séquentiels pour la découverte de relations entre gènes et maladies rares. In S. Szulman and J. Charlet, editors, Journées francophones d'ingénierie des connaissances, pages 149-164, 2012. INSERM UMPC. [WWW] Keyword(s): data mining, sequential patterns, relationships, bioinformatics, rare disease, natural language processing. [bibtex-entry]



5. Nicolas Béchet, Peggy Cellier, Thierry Charnois, and Bruno Crémilleux. Sequential Pattern Mining to Discover Relations between Genes and Rare Diseases. In IEEE Int. Symp. on Computer-Based Medical Systems (CBMS), pages 1-6, 2012. Keyword(s): data mining, sequential patterns, relationships, bioinformatics, rare disease, natural language processing. [bibtex-entry]



6. Solen Quiniou, Peggy Cellier, Thierry Charnois, and Dominique Legallois. Fouille de données pour la stylistique : cas des motifs séquentiels émergents. In Actes des Journées Internationales d'Analyse Statistique des Données Textuelles, Liège, Belgique, pages 821-833, 2012. [WWW] Keyword(s): data mining, emerging sequential patterns, stylistic, linguistic pattern, natural language processing. [Abstract] [bibtex-entry]



7. Solen Quiniou, Peggy Cellier, Thierry Charnois, and Dominique Legallois. What About Sequential Data Mining Techniques to Identify Linguistic Patterns for Stylistics?. In Alexander F. Gelbukh, editor, Int. Conf. on Computational Linguistics and Intelligent Text Processing (CICLing), volume 7181 of LNCS, New Delhi, Inde, pages 166-177, March 2012. Springer. Keyword(s): data mining, sequential patterns, stylistic, linguistic pattern, natural language processing. [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, Mireille Ducassé, and Thierry Charnois. Partial orders and logical concept analysis to explore patterns extracted by data mining. In Int. Conf. on Conceptual Structures for Discovering Knowledge, pages 77-90, 2011. Springer. Keyword(s): data mining, partial order, selection of patterns, logical concept analysis, formal concept analysis. [Abstract] [bibtex-entry]



10. Peggy Cellier, Mireille Ducassé, Sébastien Ferré, and Olivier Ridoux. DeLLIS: A Data Mining Process for Fault Localization. In Int. Conf. Software Engineering (SEKE), pages 432-437, 2009. Knowledge Systems Institute Graduate School. Keyword(s): data mining, fault localization, software. [bibtex-entry]



11. Peggy Cellier, Mireille Ducassé, Sébastien Ferré, and Olivier Ridoux. Formal Concept analysis enhances Fault Localization in Software. In R. Medina and S. Obiedkov, editors, Int. Conf. Formal Concept Analysis, LNAI 4933, pages 273-288, 2008. Springer. [PDF] Keyword(s): fault localization, formal concept analysis. [Abstract] [bibtex-entry]



12. T. Denmat, M. Ducassé, and O. Ridoux. Data mining and cross-checking of execution traces. A re-interpretation of Jones, Harrold and Stasko test information visualization. In T. Ellman and A. Zisman, editors, Proceedings of the 20th IEEE/ACM International Conference on Automated Software Engineering, November 2005. ACM Press. Note: See RR-5661 for a long version of this article. Keyword(s): Software Engineering, Debugging, Artificial Intelligence, Learning, Knowledge acquisition. [Abstract] [bibtex-entry]

1. Peggy Cellier, Mireille Ducassé, Sébastien Ferré, and Olivier Ridoux. Data Mining for Fault Localization: towards a Global Debugging Process. Research Report, INSA RENNES ; Univ Rennes, CNRS, IRISA, France, 2018. [WWW] [PDF] [bibtex-entry]



2. T. Denmat, M. Ducassé, and O. Ridoux. Data Mining and Cross-checking of Execution Traces. A re-interpretation of Jones, Harrold and Stasko test information visualization (Long version). Research Report RR-5661, INRIA, August 2005. Note: Also Publication Interne IRISA PI-1743. [WWW] [bibtex-entry]

1. Nicolas Béchet, Peggy Cellier, Thierry Charnois, and Bruno Crémilleux. Extraction de motifs séquentiels sous contraintes multiples, 2013. Keyword(s): data mining, sequential patterns, linguistic pattern, natural language processing. [bibtex-entry]



2. Nicolas Béchet, Peggy Cellier, Thierry Charnois, and Bruno Crémilleux. SDMC : un outil en ligne d extraction de motifs se quentiels pour la fouille de textes, 2013. Keyword(s): data mining, sequential patterns, linguistic pattern, natural language processing. [bibtex-entry]

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