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Jean‐François Boulicaut

Observed names: BOULICAUT, Jean-François, Boulicaut Jean-François, Boulicaut Jean-Francois, Boulicaut Jean-François, Boulicaut, J.-F., Boulicaut, Jean-Francois, Boulicaut, Jean-François, Boulicaut, Jean-François, Boulicaut, Jean-François, J-F. Boulicaut, J-f. Boulicaut, J. -F. Boulicaut, J.-F. Boulicaut, JEAN FRANOIS, Boulicaut, Jean François Boulicaut, Jean-Francois Boulicaut, Jean-Françcois Boulicaut, Jean-François Boulicaut, Jean-francois Boulicaut, Jean-françois Boulicaut, Jean-françois Boulicaut A, Jeanfrançois Boulicaut, Jean‐Francois Boulicaut
Observed institutions: Lyon 1 Université, University of New Caledonia, École Centrale de Lyon, Centre National de la Recherche Scientifique, Institut national de recherche en sciences et technologies du numérique, University of Helsinki, Université Lumière Lyon 2, TU Dortmund University, Université de Lyon, GREYC, Laboratoire d'Informatique en Images et Systèmes d'Information, Institut de sciences exactes et appliquées, Institut National des Sciences Appliquées de Lyon
OpenAlex ID: A5111491370
Free-Sets: A Condensed Representation of Boolean Data for the Approximation of Frequency Queries
2003 · Jean-François Boulicaut, Artur Bykowski, et al. · Data Mining and Knowledge Discovery · 267
Knowledge Discovery in Databases: PKDD 2004
2004 · Jean-François Boulicaut, Floriana Esposito, et al. · Lecture notes in computer science · 250
Strong-association-rule mining for large-scale gene-expression data analysis: a case study on human SAGE data
2002 · Céline Becquet, Sylvain Blachon, et al. · Genome biology · 192
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A Survey on Condensed Representations for Frequent Sets
2006 · Toon Calders, Christophe Rigotti, et al. · Lecture notes in computer science · 143
Closed patterns meet n -ary relations
2009 · Loïc Cerf, Jérémy Besson, et al. · ACM Transactions on Knowledge Discovery from Data · 130
Approximation of Frequency Queries by Means of Free-Sets
2000 · Jean-François Boulicaut, Artur Bykowski, et al. · Lecture notes in computer science · 123
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Constraint-based concept mining and its application to microarray data analysis
2005 · Jérémy Besson, Céline Robardet, et al. · Intelligent Data Analysis · 105
Constraint-Based Mining and Inductive Databases
2006 · Boulicaut, Jean-François, de Raedt, Luc, et al. · Lecture notes in computer science · 87
Frequent Closures as a Concise Representation for Binary Data Mining
2000 · Jean-François Boulicaut, Artur Bykowski · Lecture notes in computer science · 87
Using queries to improve database reverse engineering
1994 · J. -M. Petit, J. Kouloumdjian, et al. · Lecture notes in computer science · 79
Advances in Intelligent Data Analysis VIII
2009 · Adams, Niall, Robardet, Céline, et al. · Lecture notes in computer science · 75
Mining Graph Topological Patterns: Finding Covariations among Vertex Descriptors
2012 · Adriana Prado, Marc Plantevit, et al. · IEEE Transactions on Knowledge and Data Engineering · 70
Constraint-based Data Mining
2009 · Jean-Francois Boulicaut, Baptiste Jeudy · Springer eBooks · 69
Towards the reverse engineering of renormalized relational databases
2002 · J.-M. Petit, F. Toumani, et al. · IEEE International Conference on Data Engineering (ICDE) · 65
Anytime discovery of a diverse set of patterns with Monte Carlo tree search
2017 · Guillaume Bosc, Jean-François Boulicaut, et al. · Data Mining and Knowledge Discovery · 59
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Local Pattern Detection
2005 · Boulicaut, Jean-François, Siebes, Arno, et al. · Lecture notes in computer science · 59
Constrained Co-clustering of Gene Expression Data
2008 · Ruggero G. Pensa, Jean-François Boulicaut · SIAM International Conference on Data Mining · 57
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Using transposition for pattern discovery from microarray data
2003 · François Rioult, Jean-François Boulicaut, et al. · ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery (DMKD) · 57
D ata -P eeler : Constraint-Based Closed Pattern Mining in n -ary Relations
2008 · Loïc Cerf, Jérémy Besson, et al. · SIAM International Conference on Data Mining · 55
Assessment of discretization techniques for relevant pattern discovery from gene expression data
2004 · Ruggero G. Pensa, Claire Leschi, et al. · Institutional Research Information System University of Turin (University of Turin) · 54
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Cohesive Co-evolution Patterns in Dynamic Attributed Graphs
2012 · Elise Desmier, Marc Plantevit, et al. · Lecture notes in computer science · 53
Modeling KDD Processes within the Inductive Database Framework
1999 · Jean-François Boulicaut, Mika Klemettinen, et al. · Lecture notes in computer science · 53
Optimization of association rule mining queries
2002 · Baptiste Jeudy, Jean-François Boulicaut · Intelligent Data Analysis · 50
Mining a New Fault-Tolerant Pattern Type as an Alternative to Formal Concept Discovery
2006 · Jérémy Besson, Céline Robardet, et al. · Lecture notes in computer science · 48
Mining frequent sequential patterns under regular expressions: a highly adaptative strategy for pushing constraints
2003 · Hunor Albert-Lorincz, Jean-François Boulicaut · SIAM International Conference on Data Mining · 48
Works count: 285
Citation count: 3,927
H-index: 35
I10-index: 81
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