Jean-François Boulicaut

Loïc Cerf, Jérémy Besson, Kim-Ngan Nguyen, Jean-François Boulicaut: Closed and noise-tolerant patterns in n-ary relations. Data Min. Knowl. Discov. 26(3): 574-619 (2013)

Kim-Ngan Nguyen, Loïc Cerf, Marc Plantevit, Jean-François Boulicaut: Discovering descriptive rules in relational dynamic graphs. Intell. Data Anal. 17(1): 49-69 (2013)

Jérémy Sanhes, Frédéric Flouvat, Claude Pasquier, Nazha Selmaoui-Folcher, Jean-François Boulicaut: Extraction de motifs condensés dans un unique graphe orienté acyclique attribué. EGC 2013: 205-216

Dominique Gay, Nazha Selmaoui-Folcher, Jean-François Boulicaut: Application-independent feature construction based on almost-closedness properties. Knowl. Inf. Syst. 30(1): 87-111 (2012)

Elise Desmier, Marc Plantevit, Céline Robardet, Jean-François Boulicaut: Cohesive Co-evolution Patterns in Dynamic Attributed Graphs. Discovery Science 2012: 110-124

Adriana Prado, Marc Plantevit, Céline Robardet, Jean-François Boulicaut: Extraction de co-variations entre des propriétés de sommets et leur position topologique dans un graphe attribué. EGC 2012: 267-278

Jérémy Sanhes, Frédéric Flouvat, Nazha Selmaoui-Folcher, Jean-François Boulicaut: Extraction d'arbres spatio-temporels d'itemsets pour le suivi environnemental. EGC 2012: 581-582

Julien Salotti, Marc Plantevit, Céline Robardet, Jean-François Boulicaut: Supporting the Discovery of Relevant Topological Patterns in Attributed Graphs. ICDM Workshops 2012: 898-901

Kim-Ngan Nguyen, Marc Plantevit, Jean-François Boulicaut: Mining Disjunctive Rules in Dynamic Graphs. RIVF 2012: 1-6

Pierre-Nicolas Mougel, Marc Plantevit, Christophe Rigotti, Olivier Gandrillon, Jean-François Boulicaut: Extraction sous contraintes d'ensembles de cliques homogènes. EGC 2011: 443-454

Kim-Ngan Nguyen, Loïc Cerf, Marc Plantevit, Jean-François Boulicaut: Multidimensional Association Rules in Boolean Tensors. SDM 2011: 570-581

Ruggero G. Pensa, Jean-François Boulicaut, Francesca Cordero, Maurizio Atzori: Co-clustering numerical data under user-defined constraints. Statistical Analysis and Data Mining 3(1): 38-55 (2010)

Jérémy Besson, Ieva Mitasiunaite, Audrone Lupeikiene, Jean-François Boulicaut: Comparing Intended and Real Usage in Web Portal: Temporal Logic and Data Mining. BIS 2010: 83-93

Jean-François Boulicaut, Baptiste Jeudy: Constraint-based Data Mining. Data Mining and Knowledge Discovery Handbook 2010: 339-354

Jean-François Boulicaut, Cyrille Masson: Data Mining Query Languages. Data Mining and Knowledge Discovery Handbook 2010: 655-664

Loïc Cerf, Jérémy Besson, Céline Robardet, Jean-François Boulicaut: Closed patterns meet n-ary relations. TKDD 3(1) (2009)

Loïc Cerf, Pierre-Nicolas Mougel, Jean-François Boulicaut: Agglomerating local patterns hierarchically with ALPHA. CIKM 2009: 1753-1756

Nazha Selmaoui, Dominique Gay, Jean-François Boulicaut: Construction de descripteurs pour classer à partir d'exemples bruités. EGC 2009: 91-102

Loïc Cerf, Jérémy Besson, Jean-François Boulicaut: Extraction de motifs fermés dans des relations n-aires bruitées. EGC 2009: 163-168

Loïc Cerf, Tran Bao Nhan Nguyen, Jean-François Boulicaut: Discovering Relevant Cross-Graph Cliques in Dynamic Networks. ISMIS 2009: 513-522

Dominique Gay, Nazha Selmaoui, Jean-François Boulicaut: Application-Independent Feature Construction from Noisy Samples. PAKDD 2009: 965-972

Niall M. Adams, Céline Robardet, Arno Siebes, Jean-François Boulicaut (Eds.): Advances in Intelligent Data Analysis VIII, 8th International Symposium on Intelligent Data Analysis, IDA 2009, Lyon, France, August 31 - September 2, 2009. Proceedings. Lecture Notes in Computer Science 5772, Springer 2009, isbn 978-3-642-03914-0

Johan Leyritz, Stéphane Schicklin, Sylvain Blachon, Céline Keime, Céline Robardet, Jean-François Boulicaut, Jérémy Besson, Ruggero G. Pensa, Olivier Gandrillon: SQUAT: A web tool to mine human, murine and avian SAGE data. BMC Bioinformatics 9 (2008)

Loïc Cerf, Dominique Gay, Nazha Selmaoui, Jean-François Boulicaut: A Parameter-Free Associative Classification Method. DaWaK 2008: 293-304

Ruggero G. Pensa, Jean-François Boulicaut: Co-classification sous contraintes par la somme des résidus quadratiques. EGC 2008: 655-666

Jérémy Besson, Christophe Rigotti, Ieva Mitasiunaite, Jean-François Boulicaut: Parameter Tuning for Differential Mining of String Patterns. ICDM Workshops 2008: 77-86

Jean-François Boulicaut: If Constraint-Based Mining is the Answer: What is the Constraint? (Invited Talk). ICDM Workshops 2008: 730

Jean-François Boulicaut, Jérémy Besson: Actionability and Formal Concepts: A Data Mining Perspective. ICFCA 2008: 14-31

Dominique Gay, Nazha Selmaoui, Jean-François Boulicaut: Feature Construction Based on Closedness Properties Is Not That Simple. PAKDD 2008: 112-123

Ruggero G. Pensa, Jean-François Boulicaut: Constrained Co-clustering of Gene Expression Data. SDM 2008: 25-36

Loïc Cerf, Jérémy Besson, Céline Robardet, Jean-François Boulicaut: Data Peeler: Contraint-Based Closed Pattern Mining in n-ary Relations. SDM 2008: 37-48

Ruggero G. Pensa, Jean-François Boulicaut: Numerical Data Co-clustering via Sum-Squared Residue Minimization and User-defined Constraint Satisfaction. SEBD 2008: 279-286

Jean-François Boulicaut, Michael R. Berthold, Tamás Horváth (Eds.): Discovery Science, 11th International Conference, DS 2008, Budapest, Hungary, October 13-16, 2008. Proceedings. Lecture Notes in Computer Science 5255, Springer 2008, isbn 978-3-540-88410-1

Dominique Gay, Nazha Selmaoui, Jean-François Boulicaut: Pattern-based decision tree construction. ICDIM 2007: 291-296

Ruggero G. Pensa, Céline Robardet, Jean-François Boulicaut: Supporting bi-cluster interpretation in 0/1 data by means of local patterns. Intell. Data Anal. 10(5): 457-472 (2006)

Ieva Mitasiunaite, Jean-François Boulicaut: Introducing Softness into Inductive Queries on String Databases. DB&IS 2006: 117-130

Nazha Selmaoui, Claire Leschi, Dominique Gay, Jean-François Boulicaut: Feature Construction and delta-Free Sets in 0/1 Samples. Discovery Science 2006: 363-367

Clément Fauré, Sylvie Delprat, Jean-François Boulicaut, Alain Mille: Iterative Bayesian Network Implementation by Using Annotated Association Rules. EKAW 2006: 326-333

Clément Fauré, Sylvie Delprat, Alain Mille, Jean-François Boulicaut: Utilisation des réseaux bayésiens dans le cadre de l'extraction de règles d'association. EGC 2006: 569-580

Hunor Albert-Lorincz, Jean-François Boulicaut: Amélioration des indicateurs techniques pour l'analyse du marché financier. EGC 2006: 693-704

Clément Fauré, Sylvie Delprat, Alain Mille, Jean-François Boulicaut: Construction itérative d'un modèle de connaissance par l'exploitation de règles d'association. Actes d'IC 2006: 1-10

Jérémy Besson, Céline Robardet, Jean-François Boulicaut: Mining a New Fault-Tolerant Pattern Type as an Alternative to Formal Concept Discovery. ICCS 2006: 144-157

Ruggero G. Pensa, Céline Robardet, Jean-François Boulicaut: Towards Constrained Co-clustering in Ordered 0/1 Data Sets. ISMIS 2006: 425-434

Jérémy Besson, Céline Robardet, Luc De Raedt, Jean-François Boulicaut: Mining Bi-sets in Numerical Data. KDID 2006: 11-23

Ieva Mitasiunaite, Jean-François Boulicaut: Looking for monotonicity properties of a similarity constraint on sequences. SAC 2006: 546-552

Francesco Bonchi, Jean-François Boulicaut (Eds.): Knowledge Discovery in Inductive Databases, 4th International Workshop, KDID 2005, Porto, Portugal, October 3, 2005, Revised Selected and Invited Papers. Lecture Notes in Computer Science 3933, Springer 2006, isbn 3-540-33292-8

Jérémy Besson, Céline Robardet, Jean-François Boulicaut, Sophie Rome: Constraint-based concept mining and its application to microarray data analysis. Intell. Data Anal. 9(1): 59-82 (2005)

Jean-François Boulicaut, Baptiste Jeudy: Constraint-Based Data Mining. The Data Mining and Knowledge Discovery Handbook 2005: 399-416

Jean-François Boulicaut, Cyrille Masson: Data Mining Query Languages. The Data Mining and Knowledge Discovery Handbook 2005: 715-727

Ruggero G. Pensa, Jean-François Boulicaut: Towards Fault-Tolerant Formal Concept Analysis. AI*IA 2005: 212-223

Jérémy Besson, Céline Robardet, Jean-François Boulicaut: Approximation de collections de concepts formels par des bi-ensembles denses et pertinents. CAP 2005: 313-328

Ruggero G. Pensa, Jean-François Boulicaut: From Local Pattern Mining to Relevant Bi-cluster Characterization. IDA 2005: 293-304

Jérémy Besson, Ruggero G. Pensa, Céline Robardet, Jean-François Boulicaut: Constraint-Based Mining of Fault-Tolerant Patterns from Boolean Data. KDID 2005: 55-71

Ruggero G. Pensa, Céline Robardet, Jean-François Boulicaut: A Bi-clustering Framework for Categorical Data. PKDD 2005: 643-650

Jean-François Boulicaut, Luc De Raedt, Heikki Mannila (Eds.): Constraint-Based Mining and Inductive Databases, European Workshop on Inductive Databases and Constraint Based Mining, Hinterzarten, Germany, March 11-13, 2004, Revised Selected Papers. Lecture Notes in Computer Science 3848, Springer 2005, isbn 3-540-31331-1

Katharina Morik, Jean-François Boulicaut, Arno Siebes (Eds.): Local Pattern Detection, International Seminar, Dagstuhl Castle, Germany, April 12-16, 2004, Revised Selected Papers. Lecture Notes in Computer Science 3539, Springer 2005, isbn 3-540-26543-0

Jean-François Boulicaut, Bruno Crémilleux: Introduction. Ingénierie des Systèmes d'Information 9(3-4): 7-22 (2004)

Jean-François Boulicaut: Inductive Databases and Multiple Uses of Frequent Itemsets: The cInQ Approach. Database Support for Data Mining Applications 2004: 1-23

Marco Botta, Jean-François Boulicaut, Cyrille Masson, Rosa Meo: Query Languages Supporting Descriptive Rule Mining: A Comparative Study. Database Support for Data Mining Applications 2004: 24-51

Toon Calders, Christophe Rigotti, Jean-François Boulicaut: A Survey on Condensed Representations for Frequent Sets. Constraint-Based Mining and Inductive Databases 2004: 64-80

Ruggero G. Pensa, Jérémy Besson, Céline Robardet, Jean-François Boulicaut: Contribution to Gene Expression Data Analysis by Means of Set Pattern Mining. Constraint-Based Mining and Inductive Databases 2004: 328-347

Ruggero G. Pensa, Jean-François Boulicaut: Boolean Property Encoding for Local Set Pattern Discovery: An Application to Gene Expression Data Analysis. Local Pattern Detection 2004: 115-134

Ruggero G. Pensa, Jérémy Besson, Jean-François Boulicaut: A Methodology for Biologically Relevant Pattern Discovery from Gene Expression Data. Discovery Science 2004: 230-241

Ruggero G. Pensa, Claire Leschi, Jérémy Besson, Jean-François Boulicaut: Assessment of discretization techniques for relevant pattern discovery from gene expression data. BIOKDD 2004: 24-30

Jérémy Besson, Céline Robardet, Jean-François Boulicaut: Mining Formal Concepts with a Bounded Number of Exceptions from Transactional Data. KDID 2004: 33-45

Jérémy Besson, Céline Robardet, Jean-François Boulicaut: Constraint-Based Mining of Formal Concepts in Transactional Data. PAKDD 2004: 615-624

Céline Robardet, Ruggero G. Pensa, Jérémy Besson, Jean-François Boulicaut: Using Classification and Visualization on Pattern Databases for Gene Expression Data Analysis. PaRMa 2004

Cyrille Masson, Céline Robardet, Jean-François Boulicaut: Optimizing subset queries: a step towards SQL-based inductive databases for itemsets. SAC 2004: 535-539

Jean-François Boulicaut, Floriana Esposito, Fosca Giannotti, Dino Pedreschi (Eds.): Machine Learning: ECML 2004, 15th European Conference on Machine Learning, Pisa, Italy, September 20-24, 2004, Proceedings. Lecture Notes in Computer Science 3201, Springer 2004, isbn 3-540-23105-6

Jean-François Boulicaut, Floriana Esposito, Fosca Giannotti, Dino Pedreschi (Eds.): Knowledge Discovery in Databases: PKDD 2004, 8th European Conference on Principles and Practice of Knowledge Discovery in Databases, Pisa, Italy, September 20-24, 2004, Proceedings. Lecture Notes in Computer Science 3202, Springer 2004, isbn 3-540-23108-0

Jean-François Boulicaut, Artur Bykowski, Christophe Rigotti: Free-Sets: A Condensed Representation of Boolean Data for the Approximation of Frequency Queries. Data Min. Knowl. Discov. 7(1): 5-22 (2003)

Kimmo Hätönen, Jean-François Boulicaut, Mika Klemettinen, Markus Miettinen, Cyrille Masson: Comprehensive Log Compression with Frequent Patterns. DaWaK 2003: 360-370

François Rioult, Jean-François Boulicaut, Bruno Crémilleux, Jérémy Besson: Using transposition for pattern discovery from microarray data. DMKD 2003: 73-79

Hunor Albert-Lorincz, Jean-François Boulicaut: A Framework for Frequent Sequence Mining under Generalized Regular Expression Constraints. KDID 2003: 2-16

François Rioult, Céline Robardet, Sylvain Blachon, Bruno Crémilleux, Olivier Gandrillon, Jean-François Boulicaut: Mining Concepts from Large SAGE Gene Expression Matrices. KDID 2003: 107-118

Marion Leleu, Christophe Rigotti, Jean-François Boulicaut, Guillaume Euvrard: GO-SPADE: Mining Sequential Patterns over Datasets with Consecutive Repetitions. MLDM 2003: 293-306

Marion Leleu, Christophe Rigotti, Jean-François Boulicaut, Guillaume Euvrard: Constraint-Based Mining of Sequential Patterns over Datasets with Consecutive Repetitions. PKDD 2003: 303-314

Hunor Albert-Lorincz, Jean-François Boulicaut: Mining Frequent Sequential Patterns under Regular Expressions: A Highly Adaptive Strategy for Pushing Contraints. SDM 2003

Jean-François Boulicaut, Saso Dzeroski (Eds.): Proceedings of the Second International Workshop on Inductive Databases, 22 September, Cavtat-Dubrovnik, Croatia. Rudjer Boskovic Institute, Zagreb, Croatia 2003, isbn 953-6690-34-9

Baptiste Jeudy, Jean-François Boulicaut: Optimization of association rule mining queries. Intell. Data Anal. 6(4): 341-357 (2002)

Marco Botta, Jean-François Boulicaut, Cyrille Masson, Rosa Meo: A Comparison between Query Languages for the Extraction of Association Rules. DaWaK 2002: 1-10

Baptiste Jeudy, Jean-François Boulicaut: Constraint-Based Discovery and Inductive Queries: Application to Association Rule Mining. Pattern Detection and Discovery 2002: 110-124

Matthieu Capelle, Jean-François Boulicaut, Cyrille Masson: Extraction de motifs séquentiels sous contraintes de similarité. EGC 2002: 65-76

Marion Leleu, Jean-François Boulicaut: Signatures de situations boursières représentées par des séquences d'événements. EGC 2002: 89-100

Matthieu Capelle, Cyrille Masson, Jean-François Boulicaut: Mining Frequent Sequential Patterns under a Similarity Constraint. IDEAL 2002: 1-6

Baptiste Jeudy, Jean-François Boulicaut: Using Condensed Representations for Interactive Association Rule Mining. PKDD 2002: 225-236

Jean-François Boulicaut, Patrick Marcel, Christophe Rigotti: Query-Driven Knowledge Discovery via OLAP manipulations. BDA 2001

Jean-François Boulicaut, Baptiste Jeudy: Mining Free Itemsets under Constraints. IDEAS 2001: 322-329

Jean-François Boulicaut: A KDD framework to support database audit. Information Technology and Management 1(3): 195-207 (2000)

Jean-François Boulicaut, Artur Bykowski, L. Gomez-Chantada: Association Rule Discovery in Highly-Correlated Data: a Case Study in Web Usage Mining. ADBIS-DASFAA Symposium 2000: 46-55

Jean-François Boulicaut, Baptiste Jeudy: Using Constraints during Frequent Set Mining: a Generic Approach. BDA 2000

Jean-François Boulicaut, Artur Bykowski, Baptiste Jeudy: Towards the Tractable Discovery of Association Rules with Negations. FQAS 2000: 425-434

Jean-François Boulicaut, Artur Bykowski: Frequent Closures as a Concise Representation for Binary Data Mining. PAKDD 2000: 62-73

Jean-François Boulicaut, Artur Bykowski, Christophe Rigotti: Approximation of Frequency Queris by Means of Free-Sets. PKDD 2000: 75-85

Jean-François Boulicaut, Mika Klemettinen, Heikki Mannila: Modeling KDD Processes within the Inductive Database Framework. DaWaK 1999: 293-302

Jean-François Boulicaut, Patrick Marcel, Christophe Rigotti: Query Driven Knowledge Discovery in Multidimensional Data. DOLAP 1999: 87-93

Jean-François Boulicaut: Query Languages for Knowledge Discovery in Databases. PKDD 1999: 582-583

Jean-François Boulicaut, Patrick Marcel, Francois Pinet, Christophe Rigotti: Spreadsheet Generation from Rule-Based Specifications. DDLP 1998: 59-70

Jean-François Boulicaut, Mika Klemettinen, Heikki Mannila: Querying Inductive Databases: A Case Study on the MINE RULE Operator. PKDD 1998: 194-202

Jean-Marc Petit, Farouk Toumani, Jean-François Boulicaut, Jacques Kouloumdjian: Towards the Reverse Engineering of Denormalized Relational Databases. ICDE 1996: 218-227

Jean-François Boulicaut, Christophe Rigotti: Abduction et déduction de structures d'objets: une intégration multiparadigmes. JFPLC 1996: 17-32

Christophe Rigotti, Mohand-Said Hacid, Jean-François Boulicaut: Une approche multi-paradigmes our le test d'applications BDOO. BDA 1994

Jean-Marc Petit, Jacques Kouloumdjian, Jean-François Boulicaut, Farouk Toumani: Using Queries to Improve Database Reverse Engineering. ER 1994: 369-386

Christophe Rigotti, Mohand-Said Hacid, Jean-François Boulicaut: F-Logic Programming and Terminological Constraints. ICLP Workshop: Integration of Declarative Paradigms 1994: 1-11

Christophe Rigotti, Jean-François Boulicaut, Mohand-Said Hacid: Vers une typologie des sémantiques opérationnelles pour les extensions de Prolog vers les objets. JFPLC 1994: 223-238

Sadeph Saidi, Jean-François Boulicaut: Checking and Debugging of Two-level Grammars. PLILP 1992: 158-171

Jean Beney, Jean-François Boulicaut: STARLET: An Affix-Based Compiler Compiler Designed as a Logic Programming System. CC 1990: 71-85

Sadeph Saidi, Jean-François Boulicaut: AFFLOG: une implantation de grammaires à deux niveaux pour l'étude de la Programmation Grammaticale Logique. SPLT 1990: 45-70

Jean Beney, Jean-François Boulicaut: STARLET: un langage pour une programmation logique fiable. SPLT 1986: 253-