Jean-François Boulicaut - researchr alias

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2011

Extraction sous contraintes d ensembles de cliques homogènesPierre-Nicolas Mougel, Marc Plantevit, Christophe Rigotti, Olivier Gandrillon, Jean-François Boulicaut. f-egc 2011: 443-454

Multidimensional Association Rules in Boolean TensorsKim-Ngan Nguyen, Loïc Cerf, Marc Plantevit, Jean-François Boulicaut. sdm 2011: 570-581 [doi]

2010

Comparing Intended and Real Usage in Web Portal: Temporal Logic and Data MiningJérémy Besson, Ieva Mitasiunaite, Audrone Lupeikiene, Jean-François Boulicaut. bis 2010: 83-93 [doi]

2009

2008

Parameter Tuning for Differential Mining of String PatternsJérémy Besson, Christophe Rigotti, Ieva Mitasiunaite, Jean-François Boulicaut. icdm 2008: 77-86 [doi]

Discovery Science, 11th International Conference, DS 2008, Budapest, Hungary, October 13-16, 2008. ProceedingsJean-François Boulicaut, Michael R. Berthold, Tamás Horváth, editors, Volume 5255 of Lecture Notes in Computer Science, Springer, 2008.

Actionability and Formal Concepts: A Data Mining PerspectiveJean-François Boulicaut, Jérémy Besson. icfca 2008: 14-31 [doi]

If Constraint-Based Mining is the Answer: What is the Constraint? (Invited Talk)Jean-François Boulicaut. icdm 2008: 730 [doi]

A Parameter-Free Associative Classification MethodLoïc Cerf, Dominique Gay, Nazha Selmaoui, Jean-François Boulicaut. dawak 2008: 293-304 [doi]

Data Peeler: Contraint-Based Closed Pattern Mining in n-ary RelationsLoïc Cerf, Jérémy Besson, Céline Robardet, Jean-François Boulicaut. sdm 2008: 37-48 [doi]

Feature Construction Based on Closedness Properties Is Not That SimpleDominique Gay, Nazha Selmaoui, Jean-François Boulicaut. pakdd 2008: 112-123 [doi]

SQUAT: A web tool to mine human, murine and avian SAGE dataJohan Leyritz, Stéphane Schicklin, Sylvain Blachon, Céline Keime, Céline Robardet, Jean-François Boulicaut, Jérémy Besson, Ruggero G. Pensa, Olivier Gandrillon. bmcbi, 9, 2008. [doi]

Co-classification sous contraintes par la somme des résidus quadratiquesRuggero G. Pensa, Jean-François Boulicaut. f-egc 2008: 655-666

Constrained Co-clustering of Gene Expression DataRuggero G. Pensa, Jean-François Boulicaut. sdm 2008: 25-36 [doi]

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

2007

Pattern-based decision tree constructionDominique Gay, Nazha Selmaoui, Jean-François Boulicaut. icdim 2007: 291-296 [doi]

2006

Amélioration des indicateurs techniques pour l analyse du marché financierHunor Albert-Lorincz, Jean-François Boulicaut. f-egc 2006: 693-704

Mining a New Fault-Tolerant Pattern Type as an Alternative to Formal Concept DiscoveryJérémy Besson, Céline Robardet, Jean-François Boulicaut. iccS 2006: 144-157 [doi]

Mining Bi-sets in Numerical DataJérémy Besson, Céline Robardet, Luc De Raedt, Jean-François Boulicaut. kdid 2007: 11-23 [doi]

Knowledge Discovery in Inductive Databases, 4th International Workshop, KDID 2005, Porto, Portugal, October 3, 2005, Revised Selected and Invited PapersFrancesco Bonchi, Jean-François Boulicaut, editors, Volume 3933 of Lecture Notes in Computer Science, Springer, 2006.

Utilisation des réseaux bayésiens dans le cadre de l extraction de règles d associationClément Fauré, Sylvie Delprat, Alain Mille, Jean-François Boulicaut. f-egc 2006: 569-580

Construction itérative d un modèle de connaissance par l exploitation de règles d associationClément Fauré, Sylvie Delprat, Alain Mille, Jean-François Boulicaut. f-ic 2006: 1-10 [doi]

Iterative Bayesian Network Implementation by Using Annotated Association RulesClément Fauré, Sylvie Delprat, Jean-François Boulicaut, Alain Mille. ekaw 2006: 326-333 [doi]

Introducing Softness into Inductive Queries on String DatabasesIeva Mitasiunaite, Jean-François Boulicaut. balt 2006: 117-130

Looking for monotonicity properties of a similarity constraint on sequencesIeva Mitasiunaite, Jean-François Boulicaut. SAC 2006: 546-552 [doi]

Towards Constrained Co-clustering in Ordered 0/1 Data SetsRuggero G. Pensa, Céline Robardet, Jean-François Boulicaut. ismis 2006: 425-434 [doi]

Supporting bi-cluster interpretation in 0/1 data by means of local patternsRuggero G. Pensa, Céline Robardet, Jean-François Boulicaut. ida, 10(5):457-472, 2006. [doi]

Feature Construction and ::::delta::::-Free Sets in 0/1 SamplesNazha Selmaoui, Claire Leschi, Dominique Gay, Jean-François Boulicaut. dis 2006: 363-367 [doi]

2005

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

Constraint-Based Mining of Fault-Tolerant Patterns from Boolean DataJérémy Besson, Ruggero G. Pensa, Céline Robardet, Jean-François Boulicaut. kdid 2006: 55-71 [doi]

Constraint-based concept mining and its application to microarray data analysisJérémy Besson, Céline Robardet, Jean-François Boulicaut, Sophie Rome. ida, 9(1):59-82, 2005. [doi]

Data Mining Query LanguagesJean-François Boulicaut, Cyrille Masson. In Oded Maimon, Lior Rokach, editors, The Data Mining and Knowledge Discovery Handbook. pages 715-727, Springer, 2005.

Constraint-Based Data MiningJean-François Boulicaut, Baptiste Jeudy. In Oded Maimon, Lior Rokach, editors, The Data Mining and Knowledge Discovery Handbook. pages 399-416, Springer, 2005.

Constraint-Based Mining and Inductive Databases, European Workshop on Inductive Databases and Constraint Based Mining, Hinterzarten, Germany, March 11-13, 2004, Revised Selected PapersJean-François Boulicaut, Luc De Raedt, Heikki Mannila, editors, Volume 3848 of Lecture Notes in Computer Science, Springer, 2005.

Local Pattern Detection, International Seminar, Dagstuhl Castle, Germany, April 12-16, 2004, Revised Selected PapersKatharina Morik, Jean-François Boulicaut, Arno Siebes, editors, Volume 3539 of Lecture Notes in Computer Science, Springer, 2005.

From Local Pattern Mining to Relevant Bi-cluster CharacterizationRuggero G. Pensa, Jean-François Boulicaut. ida 2005: 293-304 [doi]

Towards Fault-Tolerant Formal Concept AnalysisRuggero G. Pensa, Jean-François Boulicaut. aiia 2005: 212-223 [doi]

A Bi-clustering Framework for Categorical DataRuggero G. Pensa, Céline Robardet, Jean-François Boulicaut. pkdd 2005: 643-650 [doi]

2004

Mining Formal Concepts with a Bounded Number of Exceptions from Transactional DataJérémy Besson, Céline Robardet, Jean-François Boulicaut. kdid 2005: 33-45 [doi]

Constraint-Based Mining of Formal Concepts in Transactional DataJérémy Besson, Céline Robardet, Jean-François Boulicaut. pakdd 2004: 615-624 [doi]

Query Languages Supporting Descriptive Rule Mining: A Comparative StudyMarco Botta, Jean-François Boulicaut, Cyrille Masson, Rosa Meo. cinq 2004: 24-51 [doi]

IntroductionJean-François Boulicaut, Bruno Crémilleux. isi, 9(3-4):7-22, 2004.

Knowledge Discovery in Databases: PKDD 2004, 8th European Conference on Principles and Practice of Knowledge Discovery in Databases, Pisa, Italy, September 20-24, 2004, ProceedingsJean-François Boulicaut, Floriana Esposito, Fosca Giannotti, Dino Pedreschi, editors, Volume 3202 of Lecture Notes in Computer Science, Springer, 2004.

Machine Learning: ECML 2004, 15th European Conference on Machine Learning, Pisa, Italy, September 20-24, 2004, ProceedingsJean-François Boulicaut, Floriana Esposito, Fosca Giannotti, Dino Pedreschi, editors, Volume 3201 of Lecture Notes in Computer Science, Springer, 2004.

Inductive Databases and Multiple Uses of Frequent Itemsets: The cInQ ApproachJean-François Boulicaut. cinq 2004: 1-23 [doi]

A Survey on Condensed Representations for Frequent SetsToon Calders, Christophe Rigotti, Jean-François Boulicaut. cinq 2005: 64-80 [doi]

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

Boolean Property Encoding for Local Set Pattern Discovery: An Application to Gene Expression Data AnalysisRuggero G. Pensa, Jean-François Boulicaut. dagstuhl 2005: 115-134 [doi]

Contribution to Gene Expression Data Analysis by Means of Set Pattern MiningRuggero G. Pensa, Jérémy Besson, Céline Robardet, Jean-François Boulicaut. cinq 2005: 328-347 [doi]

A Methodology for Biologically Relevant Pattern Discovery from Gene Expression DataRuggero G. Pensa, Jérémy Besson, Jean-François Boulicaut. dis 2004: 230-241 [doi]

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

Using Classification and Visualization on Pattern Databases for Gene Expression Data AnalysisCéline Robardet, Ruggero G. Pensa, Jérémy Besson, Jean-François Boulicaut. parma 2004: [doi]

2003

Mining Frequent Sequential Patterns under Regular Expressions: A Highly Adaptive Strategy for Pushing ContraintsHunor Albert-Lorincz, Jean-François Boulicaut. sdm 2003: [doi]

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

Proceedings of the Second International Workshop on Inductive Databases, 22 September, Cavtat-Dubrovnik, CroatiaJean-François Boulicaut, Saso Dzeroski, editors, Rudjer Boskovic Institute, Zagreb, Croatia, 2003.

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

Comprehensive Log Compression with Frequent PatternsKimmo Hätönen, Jean-François Boulicaut, Mika Klemettinen, Markus Miettinen, Cyrille Masson. dawak 2003: 360-370 [doi]

GO-SPADE: Mining Sequential Patterns over Datasets with Consecutive RepetitionsMarion Leleu, Christophe Rigotti, Jean-François Boulicaut, Guillaume Euvrard. mldm 2003: 293-306 [doi]

Constraint-Based Mining of Sequential Patterns over Datasets with Consecutive RepetitionsMarion Leleu, Christophe Rigotti, Jean-François Boulicaut, Guillaume Euvrard. pkdd 2003: 303-314 [doi]

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

Using transposition for pattern discovery from microarray dataFrançois Rioult, Jean-François Boulicaut, Bruno Crémilleux, Jérémy Besson. dmkd 2003: 73-79 [doi]

2002

A Comparison between Query Languages for the Extraction of Association RulesMarco Botta, Jean-François Boulicaut, Cyrille Masson, Rosa Meo. dawak 2002: 1-10 [doi]

Extraction de motifs séquentiels sous contraintes de similaritéMatthieu Capelle, Jean-François Boulicaut, Cyrille Masson. f-egc 2002: 65-76

Mining Frequent Sequential Patterns under a Similarity ConstraintMatthieu Capelle, Cyrille Masson, Jean-François Boulicaut. ideal 2002: 1-6 [doi]

Optimization of association rule mining queriesBaptiste Jeudy, Jean-François Boulicaut. ida, 6(4):341-357, 2002. [doi]

Using Condensed Representations for Interactive Association Rule MiningBaptiste Jeudy, Jean-François Boulicaut. pkdd 2002: 225-236 [doi]

Constraint-Based Discovery and Inductive Queries: Application to Association Rule MiningBaptiste Jeudy, Jean-François Boulicaut. esf 2002: 110-124 [doi]

Signatures de situations boursières représentées par des séquences d événementsMarion Leleu, Jean-François Boulicaut. f-egc 2002: 89-100

2001

Query-Driven Knowledge Discovery via OLAP manipulationsJean-François Boulicaut, Patrick Marcel, Christophe Rigotti. bda 2001:

Mining Free Itemsets under ConstraintsJean-François Boulicaut, Baptiste Jeudy. ideas 2001: 322-329

2000

1999

Query Languages for Knowledge Discovery in DatabasesJean-François Boulicaut. pkdd 1999: 582-583

Query Driven Knowledge Discovery in Multidimensional DataJean-François Boulicaut, Patrick Marcel, Christophe Rigotti. dolap 1999: 87-93 [doi]

Modeling KDD Processes within the Inductive Database FrameworkJean-François Boulicaut, Mika Klemettinen, Heikki Mannila. dawak 1999: 293-302 [doi]

1998

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

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

1996

Abduction et déduction de structures d objets: une intégration multiparadigmesJean-François Boulicaut, Christophe Rigotti. jfplc 1996: 17-32

Towards the Reverse Engineering of Denormalized Relational DatabasesJean-Marc Petit, Farouk Toumani, Jean-François Boulicaut, Jacques Kouloumdjian. icde 1996: 218-227 [doi]

1994

1992

Checking and Debugging of Two-level GrammarsSadeph Saidi, Jean-François Boulicaut. plilp 1992: 158-171

1990

STARLET: An Affix-Based Compiler Compiler Designed as a Logic Programming SystemJean Beney, Jean-François Boulicaut. CC 1991: 71-85

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

1986

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