Céline Robardet

According to our database1, Céline Robardet authored at least 92 papers between 2000 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
SIAS-miner: mining subjectively interesting attributed subgraphs.
Data Min. Knowl. Discov., 2020

Sequential recommendation with metric models based on frequent sequences.
CoRR, 2020

Finding interest groups from Twitter lists.
Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020

Gibbs Sampling Subjectively Interesting Tiles.
Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020

Why Should I Trust This Item? Explaining the Recommendations of any Model.
Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

2019
Chemical features mining provides new descriptive structure-odor relationships.
PLoS Comput. Biol., 2019

Rank correlated subgroup discovery.
J. Intell. Inf. Syst., 2019

Mining Subjectively Interesting Attributed Subgraphs.
CoRR, 2019

Contrastive Antichains in Hierarchies.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Recommandation séquentielle à base de séquences fréquentes.
Proceedings of the Extraction et Gestion des connaissances, 2019

Quand les sous-groupes rencontrent les graduels : découverte de sous-groupes identifiant des corrélations exceptionnelles.
Proceedings of the Extraction et Gestion des connaissances, 2019

FSSD - A Fast and Efficient Algorithm for Subgroup Set Discovery.
Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019

Sampling Rank Correlated Subgroups.
Proceedings of the Distributed Computing and Artificial Intelligence, 2019

Minimum Entropy Stochastic Block Models Neglect Edge Distribution Heterogeneity.
Proceedings of the Complex Networks and Their Applications VIII, 2019

2018
Mining exceptional closed patterns in attributed graphs.
Knowl. Inf. Syst., 2018

Exceptional Attributed Subgraph Mining to Understand the Olfactory Percept.
Proceedings of the Discovery Science - 21st International Conference, 2018

2017
Exceptional contextual subgraph mining.
Mach. Learn., 2017

Mining Convex Polygon Patterns with Formal Concept Analysis.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Mining the Lattice of Binary Classifiers for Identifying Duplicate Labels in Behavioral Data.
Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017

Contextual Subgraph Discovery with Mobility Models.
Proceedings of the Complex Networks & Their Applications VI, 2017

2016
Extraction of Temporal Network Structures From Graph-Based Signals.
IEEE Trans. Signal Inf. Process. over Networks, 2016

Graph dependency construction based on interval-event dependencies detection in data streams.
Intell. Data Anal., 2016

Guest editors' introduction to the EcmlPkdd 2016 journal track special issue of Machine Learning.
Data Min. Knowl. Discov., 2016

Relabelling vertices according to the network structure by minimizing the cyclic bandwidth sum.
J. Complex Networks, 2016

Unsupervised Exceptional Attributed Sub-Graph Mining in Urban Data.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Découverte de labels dupliqués par l'exploration du treillis des classifieurs binaires.
Proceedings of the 16ème Journées Francophones Extraction et Gestion des Connaissances, 2016

Une méthode de découverte de motifs contextualisés dans les traces de mobilité d'une personne.
Proceedings of the 16ème Journées Francophones Extraction et Gestion des Connaissances, 2016

Local Subgroup Discovery for Eliciting and Understanding New Structure-Odor Relationships.
Proceedings of the Discovery Science - 19th International Conference, 2016

Local Pattern Detection in Attributed Graphs.
Proceedings of the Solving Large Scale Learning Tasks. Challenges and Algorithms, 2016

2015
What effects topological changes in dynamic graphs? - Elucidating relationships between vertex attributes and the graph structure.
Soc. Netw. Anal. Min., 2015

Duality between Temporal Networks and Signals: Extraction of the Temporal Network Structures.
CoRR, 2015

From graphs to signals and back: Identification of network structures using spectral analysis.
CoRR, 2015

Gazouille: Detecting and Illustrating Local Events from Geolocalized Social Media Streams.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Profiling Users of the Velo'v Bike Sharing System.
Proceedings of the 2nd International Workshop on Mining Urban Data co-located with 32nd International Conference on Machine Learning (ICML 2015), 2015

2014
Heuristic for solving cyclic bandwidth sum problem by following the structure of the graph.
CoRR, 2014

Temporal Dependency Detection Between Interval-Based Event Sequences.
Proceedings of the New Frontiers in Mining Complex Patterns - Third International Workshop, 2014

Granularity of Co-evolution Patterns in Dynamic Attributed Graphs.
Proceedings of the Advances in Intelligent Data Analysis XIII, 2014

Nonnegative matrix factorization to find features in temporal networks.
Proceedings of the IEEE International Conference on Acoustics, 2014

Triggering patterns of topology changes in dynamic graphs.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

2013
Mining Graph Topological Patterns: Finding Covariations among Vertex Descriptors.
IEEE Trans. Knowl. Data Eng., 2013

Parameter-less co-clustering for star-structured heterogeneous data.
Data Min. Knowl. Discov., 2013

Trend Mining in Dynamic Attributed Graphs.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

When TEDDY meets GrizzLY: temporal dependency discovery for triggering road deicing operations.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Networks as signals, with an application to a bike sharing system.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

2012
Complex systems science: Dreams of universality, interdisciplinarity reality.
J. Assoc. Inf. Sci. Technol., 2012

An inductive database system based on virtual mining views.
Data Min. Knowl. Discov., 2012

Complex Systems Science: Dreams of Universality, Reality of Interdisciplinarity
CoRR, 2012

Supporting the Discovery of Relevant Topological Patterns in Attributed Graphs.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

Extraction de co-variations entre des propriétés de sommets et leur position topologique dans un graphe attribué.
Proceedings of the Extraction et gestion des connaissances (EGC'2012), Actes, janvier 31, 2012

Cohesive Co-evolution Patterns in Dynamic Attributed Graphs.
Proceedings of the Discovery Science - 15th International Conference, 2012

2011
Shared Bicycles in a City: a Signal Processing and Data Analysis Perspective.
Adv. Complex Syst., 2011

2010
Characterizing the speed and paths of shared bicycles in Lyon
CoRR, 2010

Inductive Querying with Virtual Mining Views.
Proceedings of the Inductive Databases and Constraint-Based Data Mining., 2010

A Practical Comparative Study Of Data Mining Query Languages.
Proceedings of the Inductive Databases and Constraint-Based Data Mining., 2010

2009
Closed patterns meet <i>n</i>-ary relations.
ACM Trans. Knowl. Discov. Data, 2009

Communities detection and the analysis of their dynamics in collaborative networks.
Int. J. Web Based Communities, 2009

Constraint-Based Subspace Clustering.
Proceedings of the SIAM International Conference on Data Mining, 2009

A New Constraint for Mining Sets in Sequences.
Proceedings of the SIAM International Conference on Data Mining, 2009

Constraint-Based Pattern Mining in Dynamic Graphs.
Proceedings of the ICDM 2009, 2009

Characteristics of the Dynamic of Mobile Networks.
Proceedings of the Bioinspired Models of Network, Information, and Computing Systems, 2009

2008
Description and simulation of dynamic mobility networks.
Comput. Networks, 2008

SQUAT: A web tool to mine human, murine and avian SAGE data.
BMC Bioinform., 2008

Data Peeler: Contraint-Based Closed Pattern Mining in n-ary Relations.
Proceedings of the SIAM International Conference on Data Mining, 2008

An inductive database prototype based on virtual mining views.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

A methodology to identify characteristics of the dynamic of mobile networks.
Proceedings of the AINTEC '08, 2008

2007
Clustering Formal Concepts to Discover Biologically Relevant Knowledge from Gene Expression Data.
Silico Biol., 2007

Evolving networks.
Proceedings of the Mining Massive Data Sets for Security, 2007

A New Way to Aggregate Preferences: Application to Eurovision Song Contests.
Proceedings of the Advances in Intelligent Data Analysis VII, 2007

Communities detection and analysis of their dynamics in collaborative networks.
Proceedings of the Second IEEE International Conference on Digital Information Management (ICDIM), 2007

Analysis of Dynamic Sensor Networks: Power Law Then What?
Proceedings of the Second International Conference on COMmunication System softWAre and MiddlewaRE (COMSWARE 2007), 2007

2006
Supporting bi-cluster interpretation in 0/1 data by means of local patterns.
Intell. Data Anal., 2006

Mining Bi-sets in Numerical Data.
Proceedings of the Knowledge Discovery in Inductive Databases, 5th International Workshop, 2006

Towards Constrained Co-clustering in Ordered 0/1 Data Sets.
Proceedings of the Foundations of Intelligent Systems, 16th International Symposium, 2006

Mining a New Fault-Tolerant Pattern Type as an Alternative to Formal Concept Discovery.
Proceedings of the Conceptual Structures: Inspiration and Application, 2006

2005
Constraint-based concept mining and its application to microarray data analysis.
Intell. Data Anal., 2005

Modeling the emergence of multi-protein dynamic structures by principles of self-organization through the use of 3DSpi, a multi-agent-based software.
BMC Bioinform., 2005

A Bi-clustering Framework for Categorical Data.
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

Constraint-Based Mining of Fault-Tolerant Patterns from Boolean Data.
Proceedings of the Knowledge Discovery in Inductive Databases, 4th International Workshop, 2005

Approximation de collections de concepts formels par des bi-ensembles denses et pertinents.
Proceedings of the Actes de CAP 05, Conférence francophone sur l'apprentissage automatique, 2005

2004
Optimizing subset queries: a step towards SQL-based inductive databases for itemsets.
Proceedings of the 2004 ACM Symposium on Applied Computing (SAC), 2004

Pattern management challenges.
Proceedings of the Intl. Workshop on Pattern Representation and Management, 2004

Using Classification and Visualization on Pattern Databases for Gene Expression Data Analysis.
Proceedings of the Intl. Workshop on Pattern Representation and Management, 2004

Constraint-Based Mining of Formal Concepts in Transactional Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

Mining Formal Concepts with a Bounded Number of Exceptions from Transactional Data.
Proceedings of the KDID 2004, 2004

Contribution to Gene Expression Data Analysis by Means of Set Pattern Mining.
Proceedings of the Constraint-Based Mining and Inductive Databases, 2004

2003
Mining Concepts from Large SAGE Gene Expression Matrices.
Proceedings of the Second International Workshop on Inductive Databases, 2003

2002
Etude de méthodes de recherche locale pour la construction de bipartitions.
Rev. d'Intelligence Artif., 2002

2001
Comparison of Three Objective Functions for Conceptual Clustering.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2001

A Preliminary Study of a New Classification to Build Homogeneous Patient's Groups in Home-Based Care.
Proceedings of the ICEIS 2001, 2001

Efficient Local Search in Conceptual Clustering.
Proceedings of the Discovery Science, 4th International Conference, DS 2001, Washington, 2001

2000
An Experimental Study of Partition Quality Indices in Clustering.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

A New Methodology to Compare Clustering Algorithms.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2000


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