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Journals
  • Beslon G., Parsons D. P., Pena J-M., Rigotti C., Sanchez-Dehesa Y. "From Digital Genetics to Knowledge Discovery: Perspectives in Genetic Network Understanding", Intelligent Data Analysis 14(2), pp. 173-191, IOS Press, 2010.
  • Blockeel H., Calders T., Fromont E., Goethals B., Prado A., Robardet C. « An Inductive Database System Based on Virtual Mining Views », Data Mining and Knowledge Discovery journal, 24(1), pp. 247-287, 2012.
  • Cerf L., Besson J., Robardet C., Boulicaut J-F. "Closed Sets Meet n-ary Relations". ACM Trans. on Knowledge Discovery from Data 3(1;3):1-36, ACM, 2009.
  • Cerf L., Besson J., Nguyen K-N. T., Boulicaut J-F. "Closed and Noise-Tolerant Patterns in n-ary Relations''. Data Mining and Knowledge Discovery (DAMI, Springer), 39 pages.  Accepted for publication in August 2012.
  • Gay D., Selmaoui-Foucher N., Boulicaut J-F. "Application-independent feature construction based on almost-closedness properties", Knowledge and Information Systems, Springer, 30(1), pp. 87-111, 2012.
  • Charnois T., Plantevit M., Rigotti C., Crémilleux B. "Fouille de données séquentielles pour l'extraction d'information dans les textes", numéro "Apprentissage automatique pour le TAL", Traitement Automatique des Langues, 50(3), pp. 59-87, 2009.
  • Jacquemont S., Jacquenet F., Sebban M. "Mining Probabilistic Automata: A Statistical View of Sequential Pattern Mining". Machine Learning Journal 75(1), pp. 91-127, 2009.
  • Jacquemont S., Jacquenet F., Sebban M., "A Lower Bound on the Sample Size Needed to Perform a Significant Frequent Pattern Mining Task", Pattern Recognition Letters, 30, pp. 960-967, 2009.
  • Klema J., Blachon S., Soulet A., Crémilleux B., Gandrillon O. "Constraint-Based Knowledge Discovery from SAGE Data", In Silico Biology, 8(0014), 2008.
  • Leyritz L., Schicklin S., Blachon S., Keime C., Robardet C., Boulicaut J.-F., Besson J., Pensa R. G., Gandrillon, O. "SQUAT: a web tool to mine human, murine and avian SAGE data", BMC Bioinformatics 9:378, 2008.
  • Mitasiunaite I., Rigotti C., Schicklin S., Meyniel L., Boulicaut J-F. Gandrillon O. "Extracting signature motifs from promoter sets of differentially expressed genes", In Silico Biology, 8(0043), 2008.
  • Nguyen K-N T., Cerf L., Plantevit M., Boulicaut J-F. "Discovering Descriptive Rules in Relational Dynamic Graphs'', Intelligent Data Analysis, Special Issue on Dynamic Network Analysis. Accepted for publication in June 2011. To appear in Volume 17, Number 1.
  • Nijssen S., Fromont, E. "Optimal constraint-based decision tree induction from itemset lattices", Data Mining and Knowledge Discovery 21(1), pp. 9-51, 2010.
  • Pellerin M., Gandrillon O. "Querying formal concepts containing transcription factors concepts containing transcription factors: a case study using multiple databases", Journal of Computational Biology and Bioinformactics Research, 3(6), pp. 83-90, 2011.
  • Pensa R. G., Boulicaut J-F., Cordero F., Atzori M. "Co-clustering Numerical Data under User-defined Constraints", Statistical Analysis and Data Mining 3(1), pp. 38-55, Wiley. 2010.
  • Plantevit M., Charnois T., Kléma J., Rigotti C., Crémilleux B. "Combining Sequence and Itemset Mining to Discover Named Entities in Biomedical Texts: A New Type of Pattern", Int. J. of Data Mining, Modelling and Management 1(2), pp. 119-148, 2009.
  • Poezevara G., Cuissart B., Crémilleux B. "Extracting and Summarizing the Frequent Emerging Graph Patterns from a Dataset of Graphs", Journal of Intelligent Information Systems 37(3), pp. 333-353, 2011.
  • Prado A., Jeudy B., Fromont E., Diot F. "Mining Spatiotemporal Patterns in Dynamic Plane Graphs'', Intelligent Data Analysis, IOS Press, 17 (1), 2013. Accepted for publication in June 2011.
  • Soulet A., Crémilleux B. "Adequate Condensed Representations of Patterns", Data Mining and Knowledge Discovery 17(1), pp. 94-110, 2008.
Book chapters
  • Besson J., Boulicaut J-F., Guns T., Nijssen S. "Generalizing Itemset Mining in a Constraint Programming Setting" in Inductive Databases and Constraint-Based Data Mining, S. Dzeroski, B. Goethals, and P. Panov (Eds), Springer, pp. 107-126, 2010.
  • Blockeel H., Calders T., Fromont E., Goethals B., Prado A., Robardet C.  "A Practical Comparative Study of Data Mining Query Languages", in Inductive Databases and Constraint-Based Data Mining, S. Dzeroski, B. Goethals, and P. Panov (Eds), Springer, pp. 59-77, 2010.
  • Blockeel H., Calders T., Fromont E., Goethals B., Prado A., Robardet C. "Inductive Querying with Virtual Mining Views'', in Inductive Databases and Constraint-Based Data Mining, S. Dzeroski, B. Goethals, and P. Panov (Eds), Springer, pp. 265-287, 2010.
  • Boulicaut J-F., Jeudy B. "Constraint-based data mining'', The Data Mining and Knowledge Discovery Handbook, O. Maimon and L. Rokach (Eds.), Springer, 2005, pp. 399-416. Chapter republished in the 2010 version (Part 3, pp. 339-354).
  • Cerf L., Nguyen T. B. N., Boulicaut J-F. "Mining Constrained CrossGraph cliques in dynamic networks'', in Inductive Databases and Constraint-Based Data Mining, S. Dzeroski, B. Goethals, and P. Panov (Eds), Springer, pp. 199-228, 2010.
  • Crémilleux B., Soulet A., Klema J., Hébert C., Gandrillon O. "Discovering Knowledge from Local Patterns in SAGE data", in Data Mining and Medical Knowledge Management: Cases and Applications, IGI Global publications, pp. 251-267, 2009.
  • Khiari M., Boizumault P., Crémilleux B. Combining Constraint Programming and Constraint-based Mining for Pattern Discovery, in Advances in Knowledge Discovery and Management (AKDM-2), Series Studies in Computational Intelligence, Springer, Vol. 389, pp. 85-104, 2012.
  • Lucas N. "Discourse processing for text mining", in Information Retrieval in Biomedicine: Natural Language Processing for Knowledge Integration, V. Prince & M. Roche (Eds), IGI Global publications, pp. 229 - 262, 2009.
  • Lucas, N. "Stylistic devices in news, as related to topic recognition'', in Texts and Minds: Papers in Cognitive Poetics and Rhetoric, A. Kwiatkowska (Ed.), Peter Lang, Łódź Studies in Language 26, pp. 301-316, 2012.
  • Pensa R. G., Robardet C., Boulicaut J-F. "Constraint-driven Co-Clustering of 0/1 Data", In: Constrained Clustering: Advances in Algorithms, Theory and Applications", S. Basu, I. Davidson, and K. Wagstaff (Eds), Chapman & Hall/CRC Press, Data Mining and Knowledge Discovery Series, pp. 123-148, July 2008.
  •  Rigotti C., Mitasiunaite I., Besson J., Meyniel L., Boulicaut J-F., Gandrillon O. "Using a Solver over the String Pattern Domain to Analyse Gene Promoter Sequences'', in Inductive Databases and Constraint-Based Data Mining, S. Dzeroski, B. Goethals, and P. Panov (Eds), Springer, pp. 407-424 , 2010.
Editorial activities
  • Adams N. M., Robardet C., Siebes A., Boulicaut J-F.(Eds). Proceedings 8th International Symposium on Intelligent Data Analysis IDA'09, Lyon, France. 430p. Springer Lecture Notes in Computer Science N. 5772, 2009.
  • Boulicaut J-F., Berthold M. R., Horvath T. (Eds). Proceedings 11th International Conference Discovery Science DS'08, Budapest, Hungary. Springer Lecture Notes in Artificial Intelligence N. 5255, 2008.
International conferences
  • Bechet N., Cellier P., Charnois T., Crémilleux B. "Discovering linguistic patterns using sequence mining'', 13th Int. Conf. on Intelligent Text Processing and Computational Linguistics (CICLing'12), Lecture Notes in Computer Science, Springer, New Delhi, India, March 2012. N. 7181. pp. 154-165.
  • Besson J., Cerf L., Thevenoux R., Boulicaut J-F. "Tackling closed pattern relevancy in n-ary relations", proceedings 1st Workshop Mining Multidimensional Data MMD'08 co-located with ECML PKDD 2008, Antwerp, Belgium, September 2008. pp. 2-16.
  • Besson J., Rigotti C., Mitasiunaite I., Boulicaut J-F. "Parameter Tuning for Differential Mining of String Patterns", proceedings 2nd Int. Workshop on Domain Driven Data Mining DDDM'08 co-located with IEEE ICDM'08, Pisa, Italy, December 2008. IEEE Computer Society Press, pp. 77-86.
  • Bissell-Siders R., Cuissart B., Crémilleux B. "On the Stimulation of Patterns'', 18th Int. Conference on Conceptual Structures (ICCS'10), Kuching, Sarawak, Malaysia, July 2010. Springer, Lecture Notes in Artificial Intelligence, N. 6208, pp. 56-69.
  • Boulicaut J-F. "If constraint-based mining is the answer: what is the constraint?" (invited abstract), proceedings Int. Workshop on Semantic Aspects of Data Mining SADM'08 co-located with IEEE ICDM'08, Pisa, Italy, December 2008. IEEE Computer Society Press, p. 730.
  • Boulicaut J-F., Besson J. "Actionability and formal concepts: a data mining perspective" (invited contribution), proceedings 6th Int. Conf. on Formal Concept Analysis (ICFCA'08), Montréal, Canada, February 2008. Springer, Lecture Notes in Artificial Intelligence N. 4933, pp. 14-31.
  • Boyer L., Gandrillon O., Habrard A., Pellerin M., Sebban M. "Learning Constrained Edit State Machines", proceedings 21st IEEE Int. Conf. on Tools with Artificial Intelligence (ICTAI'09), Newark, New Jersey, USA, November 2009. pp. 734-741.
  • Cellier P., Charnois T., Plantevit M. "Sequential Patterns to Discover and Characterise Biological Relations", proceedings 11th Int. Conference on Intelligent Text Processing and Computational Linguistics (CICLing'10), Iasi, Romania, March 2010. Springer, Lecture Notes in Computer Science N. 6008, pp. 537-548.
  • Cellier P., Charnois T., Plantevit M., Crémilleux B. "Recursive Sequence Mining to Discover Named Entity Relations", proceedings 9th International Symposium on Intelligent Data Analysis (IDA'10), Tucson, Arizona, United States, May 2010. Springer, Lecture Notes in Computer Science N. 6065, Springer, pp. 30­-41.
  • Cerf L., Besson J., Robardet C., Boulicaut J-F. "Data_Peeler: Constraint-based Closed Pattern Mining in n-ary Relations", proceedings SIAM Int. Conf. on Data Mining (SDM'08), Atlanta, USA, April 2008, pp. 37-48.
  • Cerf L., Gay D., Selmaoui N., Boulicaut J-F. "A parameter-free associative classification method", proceedings 10th Int. Conf. on Data Warehousing and Knowledge Discovery (DaWaK'08), Turin, Italy, April 2008. Springer, Lecture Notes in Computer Science N. 5182, pp. 293-304.
  • Cerf L., Mougel P-N., Boulicaut J-F. "Agglomerating Local Patterns Hierarchically with Alpha", proceedings 18th ACM Conf. on Information and Knowledge Management (CIKM'09), Hong Kong, China, November 2009. ACM Press, pp. 1753-1756.
  • Cerf L., Nguyen T. B. N., Boulicaut J-F. "Discovering relevant cross-graph cliques in dynamic networks", proceedings 18th Int. Symp. on Methodologies for Intelligent Systems (ISMIS'09), Prague, Czech Republic, September 2009. Springer, Lecture Note in Artificial Intelligence N. 5722, pp. 513-522.
  • Crémilleux B., Soulet A. "Discovering Knowledge from Local Patterns with Global Constraints", procceedings 8th International Conference on Computational Science and Applications (ICCSA'08), Perugia, Italy, June 2008. Springer, Lecture Notes in Computer Science N. 5073, pp. 1242-1257.
  • Fromont E., Prado A., Robardet C. "Constraint-based Subspace Clustering", proceedings SIAM Int. Conf. on Data Mining (SDM'09), Sparks, Nevada, USA, May 2009. pp. 26-37.
  • Gay D., Selmaoui N., Boulicaut J-F. "Feature construction based on closedness properties is not that simple", proceedings 12th Pacific-Asia Conf. on Knowledge Discovery and Data Mining (PaKDD'08), Osaka (JP), 23 May 2008, Springer Lecture Notes in Computer Science N. 5012, pp. 112–123.
  • Gay D., Selmaoui N., Boulicaut J-F. "Application-independent feature construction from noisy samples", proceedings 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PaKDD'09), Bangkok, Thailand, April 2009. Springer, Lecture Notes in Artificial Intelligence N. 5476, pp. 965-972.
  • Jacquemont J., Jacquenet F., Sebban M., "Discovering Patterns in Flows: a Privacy Preserving Approach with the ACSM Prototype" (demo paper), proceedings ECML/PKDD'09, Bled, Slovenia, September 2009. Springer, Lecture Notes in Artificial Intelligence N. 5782, pp. 734-737.
  • Khiari M., Boizumault P., Crémilleux B. "Local Constraint-Based Mining and Set Constraint Programming for Pattern Discovery", proceedings of the Int. Workshop "From Local Patterns to Global Models" co-located with ECML/PKDD'09, Bled, Slovenia, September 2009, pp. 61-76.
  • Khiari M., Boizumault P., Crémilleux B. "Constraint Programming for Mining n-ary Patterns'', proceedings 16th International Conference on Principles and Practice of Constraint Programming 2010 (CP'10), St Andrews, Scotland, September 2010. Springer, Lecture Notes in Computer Science, N. 6308, pp. 552­-567.
  • Khiari M., Boizumault P., Crémilleux B. "Combining CSP and Constraint-based Mining for Pattern Discovery'', proceedings 10th Int. Conf. on Computational Science and Its Applications (ICCSA'10), Fukuoka, Japan, March 2010.  Springer, Lecture Notes in Computer Science, N. 6017, pp. 432-447.
  • Khiari M., Boizumault P., Crémilleux B. "A Generic Approach for Modeling and Mining n-ary Patterns", 19th Int. Symposium on Methodologies for Intelligent Systems (ISMIS'11), Warsaw, Poland, June 2011. Springer, Lecture Notes in Artificial Intelligence, N. 6804, pp. 300-305.
  • Knobbe A., Crémilleux B., Fürnkranz J., Scholz M. "From Local Patterns to Global Models: The LeGo Approach to Data Mining", proceedings of the Int. Workshop "From Local Patterns to Global Models" co-located with ECML/PKDD'08, Antwerp, Belgium, September 2008, pp. 1-16.
  • Métivier J-P., Boizumault P., Crémilleux B., Khiari M., Loudni S. "A Constraint-based Language for Declarative Pattern Discovery'', proceedings of the Int. Workshop "Declarative Pattern Mining" co-located with 11th IEEE Int. Conf. on Data Mining series (ICDM'11), Vancouver, Canada, December 2011, pp. 1112-1119.
  • Métivier J-P., Boizumault P., Crémilleux B., Khiari M., Loudni S. "A Constraint-based Language for Declarative Pattern Discovery", 27th Int. Conf. Symposium On Applied Computing (SAC'12), Riva del Garda (Trento), Italy, May 2012. ACM Press, pp. 438-444.
  • Mougel P-N., Plantevit M., Rigotti C., Gandrillon O., Boulicaut J-F. "Constraint based Mining of Sets of Cliques Sharing Vertex Properties", proceedings of the Int. workshop "Analysis of Complex NEtworks (ACNE'10)" co-located with ECML PKDD 2010, Barcelona, Spain, September 2010, pp. 48-62.
  • Mougel P-N., Plantevit M., Rigotti C., Gandrillon O., Boulicaut J-F. "A Data Mining Approach to Highlight Relations between Functional Modules''. Integrative Post Genomics (IPG'10), Lyon, France. 2010.
  • Mougel P-N., Rigotti C., Gandrillon O. "Finding Collections of k-Clique Percolated Components in Attributed Graphs", proceedings of the 16th Pacific-Asia Conf. on Knowledge Discovery and Data Mining (PaKDD'12), Kuala-Lumpur, Malaysia, May 2012. Springer, Lecture Notes in Computer Science N. 7302, pp 181-192.
  • Mougel P-N., Rigotti C., Gandrillon O. "Finding Collections of Protein Modules in Protein-Protein Interaction Networks", proceedings of the 4th Int. Conf. on Bioinformatics and Computational Biology (BICoB), Las Vegas, Nevada, USA, March 2012. 7 pages.
  • Nguyen K-N. T., Cerf L., Plantevit M., Boulicaut J-F. "Discovering Inter-Dimensional Rules in Dynamic Graphs'', proceedings of the int. workshop on Dynamic Networks and Knowledge Discovery (DYNAK'10) co-located with ECML/PKDD'10. Barcelona, Spain, September 2010. CEUR Workshop Proc. Vol. 655, pp. 5-16.
  • Nguyen K-N. T., Cerf L., Plantevit M., Boulicaut J-F. "Multidimensional Association Rules in n-ary Relations/Boolean Tensors", proceedings SIAM Int. Conf. on Data Mining (SDM'11), Mesa, Arizona. April 2011. pp. 570-581.
  • Pensa R. G., Boulicaut J-F. "Constrained co-clustering of gene expression data", proceedings SIAM Int. Conf. on Data Mining (SDM'08), Atlanta, USA, April 2008, pp. 25-36.
  • Plantevit M., Crémilleux B. "Condensed Representation of Sequential Patterns according to Frequency-based Measures", procceedings 8th International Symposium on Intelligent Data Analysis (IDA'09), Lyon, France, September 2009. Springer, Lecture Note in Computer Science N. 5772, pp. 155-166.
  • Poezevara G., Cuissart B., Crémilleux B. "Discovering Emerging Graph Patterns from Chemicals", proceedings 18th International Symposium on Methodologies for Intelligent Systems (ISMIS'09), Prague, Czech Republic, September 2009. Springer, Lecture Notes in Artificial Intelligence N. 5722, pp. 45-55.
  • Robardet C. "Constraint-based Pattern Mining in Dynamic Graphs", 9th IEEE Int. Conf. on Data Mining (ICDM'09), IEEE Computer Society Press, Miami, USA, December 2009, pp. 950-955.
  • Soulet B., Crémilleux B., Plantevit M. "Summarizing Contrasts by Recursive Pattern Mining'', proceedings of the Int. Workshop "Contrast Data Mining'' co-located with 11th IEEE Int. Conf. on Data Mining series (ICDM'11), Vancouver, Canada, December 2011. pp. 1155-116.
  • Soulet A., Raïssi C., Plantevit M., Crémilleux B. "Mining Dominant Patterns in the Sky", 11th IEEE Int. Conf. on Data Mining series (ICDM'11), Vancouver, Canada, December 2011. IEEE Computer Society Press, pp. 655-664.
  • Thollard F., Jeudy B. "Efficient Pruning of Probabilistic Automata", proceedings of conf. Structural and Syntactic Pattern Recognition (SSPR'08), Springer, pp. 65-75.
  • Thollard F., Zdziobeck A. "Position models and language modeling", proceedings of conf. Structural and Syntactic Pattern Recognition (SSPR'08), Springer, pp. 76-85.
PhD and habilitation (HDR)
  • Boyer L. "Apprentissage probabiliste de similarités d'édition", Doctorat de l'Université de Saint-Etienne, Saint-Etienne, 24/3/2011.
  • Cerf L. "Constraint-based Mining of Closed Patterns in Noisy n-ary Relations". Doctorat INSA Lyon, 9/07/2010.
  • Charnois T. "Accès à l'information : vers une hybridation fouille de données et traitement automatique des langues'', HDR de l'Université de Caen Basse-Normandie, Caen, 1/12/2011.
  • Gay D. "Calcul de motifs sous contraintes pour la classification supervisée". Doctorat Université de Nouvelle Calédonie/INSA Lyon, 30/11/2009.
  • Khiari M. "Apports de la programmation par contraintes à la découverte de motifs". Doctorat de l'université de Caen Basse-Normandie, 18/6/2012.
  • Mitasiunaité I. "Mining String Data under Similarity and Soft Frequency Constraints: Application to Promoter Sequence Analysis". Doctorat INSA Lyon, 19/05/2009.
  • Jacquemont S. "Contributions de l'inférence grammaticale à la fouille de données séquentielles". Doctorat de l'université de St-Etienne, 04/12/2008.
  • Poezevara G. " Fouille de graphes pour la découverte de contrastes entre classes : application à l'estimation de la toxicité des molécules". Doctorat de l'université de Caen Basse-Normandie, 23/11/2011.
National conferences
  • Cellier P., Charnois T. "Fouille de données séquentielle d'itemsets pour l'apprentissage de patrons linguistiques'', 17ème conférence sur le Traitement Automatique des Langues Naturelles (TALN 2010), Montréal, Canada, juillet 2010. 6 pages.
  • Cerf L., Besson J., Boulicaut J-F. "Extraction de motifs fermés dans des relations n-aires bruitées", actes des 9ème Journées Francophones Extraction et Gestion de Connaissances (EGC'09), RNTI-E-15, Strasbourg, France, janvier 2009, Cepadues-Editions, pp. 163-168.
  • Gay D., Selmaoui N., Boulicaut J-F. "Construction de descripteurs pour apprendre à classer à partir d'exemples bruités.", actes des 9ème journées Extraction et Gestion de Connaissances (EGC'09), RNTI-E-15, Strasbourg, France, janvier 2009, Cepadues-Editions, pp. 91-102.
  • Jacquemont S., Jacquenet F., Sebban M., "Une borne basse sur le nombre de séquences nécessaires pour accomplir une tâche pertinente de fouille de données séquentielles", Actes de la conférence d'Apprentissage Automatique (CAP'08), Porquerolles, France, mai 2008, pp. 73-88.
  • Jeudy B., Thollard F. "Élagage efficace d'automates probabilistes", Conférence francophone sur l'apprentissage automatique (CAP'08), Porquerolles, France, mai 2008, pp. 89-104.
  • Khiari M., Boizumault P., Crémilleux B. "Allier CSPs et motifs locaux pour la découverte de motifs sous contraintes n-aires", actes des 10ème Journées Francophones Extraction et Gestion de Connaissances (EGC'10), RNTI-E-19, Hammamet, Tunisie, janvier 2010. Cépaduès Editions, pp. 199-210.
  • Khiari M., Boizumault P., Crémilleux B. "Extraction de motifs n-aires utilisant la PPC'', actes des 6èmes Journées Francophones de Programmation par Contraintes (JFPC 2010), Caen, juin 2010. 10 pages.
  • Lejeune, G., Brixtel, R., Giguet, E.  "Appariement de résumés et d'articles scientifiques fondé sur des distributions de chaînes de caractères", atelier DÉfi Fouille de Textes (DEFT'11) associé à TALN'11, Montpellier, juin 2011.
  • Mougel P-N., Plantevit M., Rigotti C., Gandrillon O., Boulicaut J-F. "Extraction sous contraintes d'ensembles de cliques homogènes", actes 11ème Journées Francophones Extraction et Gestion de Connaissances (EGC'11), Brest, France, janvier 2011, Hermann, pp. 443-454.
  • Nguyen K-N. T., Cerf L., Boulicaut J-F. "Sémantiques et calculs de règles descriptives dans une relation n-aire", actes des 26èmes Journées Bases de Données Avancées (BDA'10), Toulouse, octobre 2010, pp. 1-20.
  • Plantevit M., Charnois T. "Motifs séquentiels pour l'extraction d'information : illustration sur le problème de la détection d'interactions entre gènes", actes de la 16me conférence sur le Traitement Automatique des Langues Naturelles (TALN'09), Senlis, France, juin 2009. 10 pages, actes électroniques.
  • Plantevit M., Raïssi C., Crémilleux B. "Motifs séquentiels delta-libres'', actes des 11ème Journées Francophones Extraction et Gestion de Connaissances (EGC'11),  Brest, France, janvier 2011, Hermann, pp. 35-46.
  • Prado A., Jeudy B., Fromont E., Diot F. ``PLAGRAM : un algorithme de fouille de graphes plans efficace'', Conférence d'Apprentissage (CAp'11), 342-360.
  • Prado A., Plantevit M., Robardet C., Boulicaut J-F. "Fouille de motifs pour l’analyse méso-copique de grands réseaux'', seconde conférence sur les Modèles et l'Analyse de Réseaux : Approches Mathématiques et Informatiques MARAMI 2011, Grenoble, octobre 2011, 10 pages.