Celine Robardet
Celine Robardet
Email verificata su insa-lyon.fr - Home page
Citata da
Citata da
Shared bicycles in a city: A signal processing and data analysis perspective
P Borgnat, P Abry, P Flandrin, C Robardet, JB Rouquier, E Fleury
Advances in Complex Systems 14 (03), 415-438, 2011
Characterizing the speed and paths of shared bicycle use in Lyon
P Jensen, JB Rouquier, N Ovtracht, C Robardet
Transportation research part D: transport and environment 15 (8), 522-524, 2010
Closed patterns meet n-ary relations
L Cerf, J Besson, C Robardet, JF Boulicaut
ACM Transactions on Knowledge Discovery from Data (TKDD) 3 (1), 1-36, 2009
Description and simulation of dynamic mobility networks
A Scherrer, P Borgnat, E Fleury, JL Guillaume, C Robardet
Computer Networks 52 (15), 2842-2858, 2008
Constraint-based concept mining and its application to microarray data analysis
J Besson, C Robardet, JF Boulicaut, S Rome
Intelligent Data Analysis journal 9 (1), 59-82, 2005
From bicycle sharing system movements to users: a typology of Vélo’v cyclists in Lyon based on large-scale behavioural dataset
M Vogel, R Hamon, G Lozenguez, L Merchez, P Abry, J Barnier, ...
Journal of Transport Geography 41, 280-291, 2014
Data-Peeler: Constraint-Based Closed Pattern Mining in n-ary Relations
L Cerf, J Besson, C Robardet, JF Boulicaut
proceedings of the 2008 SIAM International conference on Data Mining, 37-48, 2008
Mining graph topological patterns: Finding covariations among vertex descriptors
A Prado, M Plantevit, C Robardet, JF Boulicaut
IEEE Transactions on Knowledge and Data Engineering 25 (9), 2090-2104, 2012
Mining a new fault-tolerant pattern type as an alternative to formal concept discovery
J Besson, C Robardet, JF Boulicaut
International Conference on Conceptual Structures, 144-157, 2006
Constraint-based pattern mining in dynamic graphs
C Robardet
2009 ninth IEEE international conference on data mining, 950-955, 2009
Constraint-based mining of formal concepts in transactional data
J Besson, C Robardet, JF Boulicaut
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 615-624, 2004
Clustering formal concepts to discover biologically relevant knowledge from gene expression data
S Blachon, RG Pensa, J Besson, C Robardet, JF Boulicaut, O Gandrillon
In silico biology 7 (4, 5), 467-483, 2007
Cohesive co-evolution patterns in dynamic attributed graphs
E Desmier, M Plantevit, C Robardet, JF Boulicaut
International conference on discovery science, 110-124, 2012
A bi-clustering framework for categorical data
RG Pensa, C Robardet, JF Boulicaut
European Conference on Principles of Data Mining and Knowledge Discovery …, 2005
Complex systems science: Dreams of universality, interdisciplinarity reality
S Grauwin, G Beslon, E Fleury, S Franceschelli, C Robardet, JB Rouquier, ...
Journal of the American Society for Information Science and Technology 63 (7 …, 2012
A dynamical network view of Lyon’s Vélo’v shared bicycle system
P Borgnat, C Robardet, P Abry, P Flandrin, JB Rouquier, N Tremblay
Dynamics On and Of Complex Networks, Volume 2, 267-284, 2013
Parameter-less co-clustering for star-structured heterogeneous data
D Ienco, C Robardet, RG Pensa, R Meo
Data Mining and Knowledge Discovery 26 (2), 217-254, 2013
Constraint-based mining of fault-tolerant patterns from boolean data
J Besson, RG Pensa, C Robardet, JF Boulicaut
International Workshop on Knowledge Discovery in Inductive Databases, 55-71, 2005
Communities detection and analysis of their dynamics in collaborative networks
MB Jdidia, C Robardet, E Fleury
2007 2nd International Conference on Digital Information Management 2, 744-749, 2007
Exceptional contextual subgraph mining
M Kaytoue, M Plantevit, A Zimmermann, A Bendimerad, C Robardet
Machine Learning 106 (8), 1171-1211, 2017
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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