| 2009 | ||
|---|---|---|
| 34 | Niall M. Adams, Céline Robardet, Arno Siebes, Jean-François Boulicaut: Advances in Intelligent Data Analysis VIII, 8th International Symposium on Intelligent Data Analysis, IDA 2009, Lyon, France, August 31 - September 2, 2009. Proceedings Springer 2009 | |
| 33 | Élisa Fromont, Adriana Prado, Céline Robardet: Constraint-Based Subspace Clustering. SDM 2009: 26-37 | |
| 32 | Boris Cule, Bart Goethals, Céline Robardet: A New Constraint for Mining Sets in Sequences. SDM 2009: 317-328 | |
| 31 | Céline Robardet, Eric Fleury: Communities detection and the analysis of their dynamics in collaborative networks. IJWBC 5(2): 195-211 (2009) | |
| 30 | Loïc Cerf, Jérémy Besson, Céline Robardet, Jean-François Boulicaut: Closed patterns meet n-ary relations. TKDD 3(1): (2009) | |
| 2008 | ||
| 29 | Hendrik Blockeel, Toon Calders, Élisa Fromont, Bart Goethals, Adriana Prado, Céline Robardet: An inductive database prototype based on virtual mining views. KDD 2008: 1061-1064 | |
| 28 | Loïc Cerf, Jérémy Besson, Céline Robardet, Jean-François Boulicaut: Data Peeler: Contraint-Based Closed Pattern Mining in n-ary Relations. SDM 2008: 37-48 | |
| 27 | 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) | |
| 26 | Antoine Scherrer, Pierre Borgnat, Eric Fleury, Jean-Loup Guillaume, Céline Robardet: Description and simulation of dynamic mobility networks. Computer Networks 52(15): 2842-2858 (2008) | |
| 2007 | ||
| 25 | Eric Fleury, Jean-Loup Guillaume, Céline Robardet, Antoine Scherrer: Analysis of Dynamic Sensor Networks: Power Law Then What? COMSWARE 2007 | |
| 24 | Manel Ben Jdidia, Céline Robardet, Eric Fleury: Communities detection and analysis of their dynamics in collaborative networks. ICDIM 2007: 744-749 | |
| 23 | Jérémy Besson, Céline Robardet: A New Way to Aggregate Preferences: Application to Eurovision Song Contests. IDA 2007: 152-162 | |
| 2006 | ||
| 22 | 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 | |
| 21 | Ruggero G. Pensa, Céline Robardet, Jean-François Boulicaut: Towards Constrained Co-clustering in Ordered 0/1 Data Sets. ISMIS 2006: 425-434 | |
| 20 | Jérémy Besson, Céline Robardet, Luc De Raedt, Jean-François Boulicaut: Mining Bi-sets in Numerical Data. KDID 2006: 11-23 | |
| 19 | 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) | |
| 2005 | ||
| 18 | Jérémy Besson, Céline Robardet, Jean-François Boulicaut: Approximation de collections de concepts formels par des bi-ensembles denses et pertinents. CAP 2005: 313-328 | |
| 17 | Jérémy Besson, Ruggero G. Pensa, Céline Robardet, Jean-François Boulicaut: Constraint-Based Mining of Fault-Tolerant Patterns from Boolean Data. KDID 2005: 55-71 | |
| 16 | Ruggero G. Pensa, Céline Robardet, Jean-François Boulicaut: A Bi-clustering Framework for Categorical Data. PKDD 2005: 643-650 | |
| 15 | Hédi Soula, Céline Robardet, François Perrin, Sébastien Gripon, Guillaume Beslon, Olivier Gandrillon: Modeling the emergence of multi-protein dynamic structures by principles of self-organization through the use of 3DSpi, a multi-agent-based software. BMC Bioinformatics 6: 228 (2005) | |
| 14 | 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 | ||
| 13 | 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 | |
| 12 | Jérémy Besson, Céline Robardet, Jean-François Boulicaut: Mining Formal Concepts with a Bounded Number of Exceptions from Transactional Data. KDID 2004: 33-45 | |
| 11 | Jérémy Besson, Céline Robardet, Jean-François Boulicaut: Constraint-Based Mining of Formal Concepts in Transactional Data. PAKDD 2004: 615-624 | |
| 10 | Panos Vassiliadis, Barbara Catania, Daniel A. Keim, Yannis Theodoridis, Céline Robardet: Pattern management challenges. PaRMa 2004 | |
| 9 | Céline Robardet, Ruggero G. Pensa, Jérémy Besson, Jean-François Boulicaut: Using Classification and Visualization on Pattern Databases for Gene Expression Data Analysis. PaRMa 2004 | |
| 8 | Cyrille Masson, Céline Robardet, Jean-François Boulicaut: Optimizing subset queries: a step towards SQL-based inductive databases for itemsets. SAC 2004: 535-539 | |
| 2003 | ||
| 7 | 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 | |
| 2001 | ||
| 6 | Céline Robardet, Fabien Feschet: Efficient Local Search in Conceptual Clustering. Discovery Science 2001: 323-335 | |
| 5 | Céline Robardet, Christine Verdier: A Preliminary Study of a New Classification to Build Homogeneous Patient's Groups in Home-Based Care. ICEIS (1) 2001: 397-403 | |
| 4 | Céline Robardet, Fabien Feschet: Comparison of Three Objective Functions for Conceptual Clustering. PKDD 2001: 399-410 | |
| 2000 | ||
| 3 | Céline Robardet, Fabien Feschet: A New Methodology to Compare Clustering Algorithms. IDEAL 2000: 565-570 | |
| 2 | Céline Robardet, Fabien Feschet: A New Methodology to Compare Clustering Algorithms. IDEAL 2000: 565-570 | |
| 1 | Céline Robardet, Fabien Feschet, Nicolas Nicoloyannis: An Experimental Study of Partition Quality Indices in Clustering. PKDD 2000: 599-604 | |