Céline Robardet

2009
30	EE	Céline Robardet, Eric Fleury: Communities detection and the analysis of their dynamics in collaborative networks. IJWBC 5(2): 195-211 (2009)
29	EE	Loïc Cerf, Jérémy Besson, Céline Robardet, Jean-François Boulicaut: Closed patterns meet n-ary relations. TKDD 3(1): (2009)
2008
28	EE	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
27	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
26	EE	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	EE	Eric Fleury, Jean-Loup Guillaume, Céline Robardet, Antoine Scherrer: Analysis of Dynamic Sensor Networks: Power Law Then What? COMSWARE 2007
24	EE	Manel Ben Jdidia, Céline Robardet, Eric Fleury: Communities detection and analysis of their dynamics in collaborative networks. ICDIM 2007: 744-749
23	EE	Jérémy Besson, Céline Robardet: A New Way to Aggregate Preferences: Application to Eurovision Song Contests. IDA 2007: 152-162
2006
22	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
21	EE	Ruggero G. Pensa, Céline Robardet, Jean-François Boulicaut: Towards Constrained Co-clustering in Ordered 0/1 Data Sets. ISMIS 2006: 425-434
20	EE	Jérémy Besson, Céline Robardet, Luc De Raedt, Jean-François Boulicaut: Mining Bi-sets in Numerical Data. KDID 2006: 11-23
19	EE	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	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
16	EE	Ruggero G. Pensa, Céline Robardet, Jean-François Boulicaut: A Bi-clustering Framework for Categorical Data. PKDD 2005: 643-650
15	EE	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	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
13	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
12	EE	Jérémy Besson, Céline Robardet, Jean-François Boulicaut: Mining Formal Concepts with a Bounded Number of Exceptions from Transactional Data. KDID 2004: 33-45
11	EE	Jérémy Besson, Céline Robardet, Jean-François Boulicaut: Constraint-Based Mining of Formal Concepts in Transactional Data. PAKDD 2004: 615-624
10	EE	Panos Vassiliadis, Barbara Catania, Daniel A. Keim, Yannis Theodoridis, Céline Robardet: Pattern management challenges. PaRMa 2004
9	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
8	EE	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	EE	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	EE	Céline Robardet, Fabien Feschet: Comparison of Three Objective Functions for Conceptual Clustering. PKDD 2001: 399-410
2000
3	EE	Céline Robardet, Fabien Feschet: A New Methodology to Compare Clustering Algorithms. IDEAL 2000: 565-570
2	EE	Céline Robardet, Fabien Feschet: A New Methodology to Compare Clustering Algorithms. IDEAL 2000: 565-570
1	EE	Céline Robardet, Fabien Feschet, Nicolas Nicoloyannis: An Experimental Study of Partition Quality Indices in Clustering. PKDD 2000: 599-604

Coauthor Index

1	Guillaume Beslon	[15]
2	Jérémy Besson	[9] [11] [12] [13] [14] [17] [18] [20] [22] [23] [27] [29]
3	Sylvain Blachon	[7]
4	Hendrik Blockeel	[28]
5	Pierre Borgnat	[26]
6	Jean-François Boulicaut	[7] [8] [9] [11] [12] [13] [14] [16] [17] [18] [19] [20] [21] [22] [27] [29]
7	Toon Calders	[28]
8	Barbara Catania	[10]
9	Loïc Cerf	[27] [29]
10	Bruno Crémilleux	[7]
11	Fabien Feschet	[1] [2] [3] [4] [6]
12	Eric Fleury	[24] [25] [26] [30]
13	Élisa Fromont	[28]
14	Olivier Gandrillon	[7] [15]
15	Bart Goethals	[28]
16	Sébastien Gripon	[15]
17	Jean-Loup Guillaume	[25] [26]
18	Manel Ben Jdidia	[24]
19	Daniel A. Keim	[10]
20	Cyrille Masson	[8]
21	Nicolas Nicoloyannis	[1]
22	Ruggero G. Pensa	[9] [13] [16] [17] [19] [21]
23	François Perrin	[15]
24	Adriana Prado	[28]
25	Luc De Raedt	[20]
26	François Rioult	[7]
27	Sophie Rome	[14]
28	Antoine Scherrer	[25] [26]
29	Hédi Soula	[15]
30	Yannis Theodoridis	[10]
31	Panos Vassiliadis	[10]
32	Christine Verdier	[5]

Colors in the list of coauthors