2009 |
19 | | Loïc Cerf,
Jérémy Besson,
Jean-François Boulicaut:
Extraction de motifs fermés dans des relations n-aires bruitées.
EGC 2009: 163-168 |
18 | EE | Loïc Cerf,
Jérémy Besson,
Céline Robardet,
Jean-François Boulicaut:
Closed patterns meet n-ary relations.
TKDD 3(1): (2009) |
2008 |
17 | EE | Jérémy Besson,
Christophe Rigotti,
Ieva Mitasiunaite,
Jean-François Boulicaut:
Parameter Tuning for Differential Mining of String Patterns.
ICDM Workshops 2008: 77-86 |
16 | EE | Jean-François Boulicaut,
Jérémy Besson:
Actionability and Formal Concepts: A Data Mining Perspective.
ICFCA 2008: 14-31 |
15 | EE | Loïc Cerf,
Jérémy Besson,
Céline Robardet,
Jean-François Boulicaut:
Data Peeler: Contraint-Based Closed Pattern Mining in n-ary Relations.
SDM 2008: 37-48 |
2007 |
14 | EE | Mohammad Al Hasan,
Vineet Chaoji,
Saeed Salem,
Jérémy Besson,
Mohammed Javeed Zaki:
ORIGAMI: Mining Representative Orthogonal Graph Patterns.
ICDM 2007: 153-162 |
13 | EE | Jérémy Besson,
Céline Robardet:
A New Way to Aggregate Preferences: Application to Eurovision Song Contests.
IDA 2007: 152-162 |
2006 |
12 | EE | 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 |
11 | EE | Jérémy Besson,
Céline Robardet,
Luc De Raedt,
Jean-François Boulicaut:
Mining Bi-sets in Numerical Data.
KDID 2006: 11-23 |
2005 |
10 | | Jérémy Besson,
Céline Robardet,
Jean-François Boulicaut:
Approximation de collections de concepts formels par des bi-ensembles denses et pertinents.
CAP 2005: 313-328 |
9 | EE | Jérémy Besson,
Ruggero G. Pensa,
Céline Robardet,
Jean-François Boulicaut:
Constraint-Based Mining of Fault-Tolerant Patterns from Boolean Data.
KDID 2005: 55-71 |
8 | EE | 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) |
2004 |
7 | | 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 |
6 | EE | 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 |
5 | EE | Ruggero G. Pensa,
Jérémy Besson,
Jean-François Boulicaut:
A Methodology for Biologically Relevant Pattern Discovery from Gene Expression Data.
Discovery Science 2004: 230-241 |
4 | EE | Jérémy Besson,
Céline Robardet,
Jean-François Boulicaut:
Mining Formal Concepts with a Bounded Number of Exceptions from Transactional Data.
KDID 2004: 33-45 |
3 | EE | Jérémy Besson,
Céline Robardet,
Jean-François Boulicaut:
Constraint-Based Mining of Formal Concepts in Transactional Data.
PAKDD 2004: 615-624 |
2 | EE | Céline Robardet,
Ruggero G. Pensa,
Jérémy Besson,
Jean-François Boulicaut:
Using Classification and Visualization on Pattern Databases for Gene Expression Data Analysis.
PaRMa 2004 |
2003 |
1 | EE | François Rioult,
Jean-François Boulicaut,
Bruno Crémilleux,
Jérémy Besson:
Using transposition for pattern discovery from microarray data.
DMKD 2003: 73-79 |