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Céline Robardet: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Jérémy Besson, Céline Robardet, Jean-François Boulicaut
    Approximation de collections de concepts formels par des bi-ensembles denses et pertinents. [Citation Graph (0, 0)][DBLP]
    CAP, 2005, pp:313-328 [Conf]
  2. Ruggero G. Pensa, Jérémy Besson, Céline Robardet, Jean-François Boulicaut
    Contribution to Gene Expression Data Analysis by Means of Set Pattern Mining. [Citation Graph (0, 0)][DBLP]
    Constraint-Based Mining and Inductive Databases, 2004, pp:328-347 [Conf]
  3. Céline Robardet, Fabien Feschet
    Efficient Local Search in Conceptual Clustering. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 2001, pp:323-335 [Conf]
  4. Jérémy Besson, Céline Robardet, Jean-François Boulicaut
    Mining a New Fault-Tolerant Pattern Type as an Alternative to Formal Concept Discovery. [Citation Graph (0, 0)][DBLP]
    ICCS, 2006, pp:144-157 [Conf]
  5. Céline Robardet, Christine Verdier
    A Preliminary Study of a New Classification to Build Homogeneous Patient's Groups in Home-Based Care. [Citation Graph (0, 0)][DBLP]
    ICEIS (1), 2001, pp:397-403 [Conf]
  6. Céline Robardet, Fabien Feschet
    A New Methodology to Compare Clustering Algorithms. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2000, pp:565-570 [Conf]
  7. Céline Robardet, Fabien Feschet
    A New Methodology to Compare Clustering Algorithms. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2000, pp:565-570 [Conf]
  8. Ruggero G. Pensa, Céline Robardet, Jean-François Boulicaut
    Towards Constrained Co-clustering in Ordered 0/1 Data Sets. [Citation Graph (0, 0)][DBLP]
    ISMIS, 2006, pp:425-434 [Conf]
  9. Jérémy Besson, Ruggero G. Pensa, Céline Robardet, Jean-François Boulicaut
    Constraint-Based Mining of Fault-Tolerant Patterns from Boolean Data. [Citation Graph (0, 0)][DBLP]
    KDID, 2005, pp:55-71 [Conf]
  10. Jérémy Besson, Céline Robardet, Jean-François Boulicaut
    Mining Formal Concepts with a Bounded Number of Exceptions from Transactional Data. [Citation Graph (0, 0)][DBLP]
    KDID, 2004, pp:33-45 [Conf]
  11. François Rioult, Céline Robardet, Sylvain Blachon, Bruno Crémilleux, Olivier Gandrillon, Jean-François Boulicaut
    Mining Concepts from Large SAGE Gene Expression Matrices. [Citation Graph (0, 0)][DBLP]
    KDID, 2003, pp:107-118 [Conf]
  12. Jérémy Besson, Céline Robardet, Jean-François Boulicaut
    Constraint-Based Mining of Formal Concepts in Transactional Data. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2004, pp:615-624 [Conf]
  13. Céline Robardet, Ruggero G. Pensa, Jérémy Besson, Jean-François Boulicaut
    Using Classification and Visualization on Pattern Databases for Gene Expression Data Analysis. [Citation Graph (0, 0)][DBLP]
    PaRMa, 2004, pp:- [Conf]
  14. Panos Vassiliadis, Barbara Catania, Daniel A. Keim, Yannis Theodoridis, Céline Robardet
    Pattern management challenges. [Citation Graph (0, 0)][DBLP]
    PaRMa, 2004, pp:- [Conf]
  15. Ruggero G. Pensa, Céline Robardet, Jean-François Boulicaut
    A Bi-clustering Framework for Categorical Data. [Citation Graph (0, 0)][DBLP]
    PKDD, 2005, pp:643-650 [Conf]
  16. Céline Robardet, Fabien Feschet
    Comparison of Three Objective Functions for Conceptual Clustering. [Citation Graph (0, 0)][DBLP]
    PKDD, 2001, pp:399-410 [Conf]
  17. Céline Robardet, Fabien Feschet, Nicolas Nicoloyannis
    An Experimental Study of Partition Quality Indices in Clustering. [Citation Graph (0, 0)][DBLP]
    PKDD, 2000, pp:599-604 [Conf]
  18. Cyrille Masson, Céline Robardet, Jean-François Boulicaut
    Optimizing subset queries: a step towards SQL-based inductive databases for itemsets. [Citation Graph (0, 0)][DBLP]
    SAC, 2004, pp:535-539 [Conf]
  19. 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. [Citation Graph (0, 0)][DBLP]
    BMC Bioinformatics, 2005, v:6, n:, pp:228- [Journal]
  20. Jérémy Besson, Céline Robardet, Jean-François Boulicaut, Sophie Rome
    Constraint-based concept mining and its application to microarray data analysis. [Citation Graph (0, 0)][DBLP]
    Intell. Data Anal., 2005, v:9, n:1, pp:59-82 [Journal]
  21. Ruggero G. Pensa, Céline Robardet, Jean-François Boulicaut
    Supporting bi-cluster interpretation in 0/1 data by means of local patterns. [Citation Graph (0, 0)][DBLP]
    Intell. Data Anal., 2006, v:10, n:5, pp:457-472 [Journal]
  22. Jérémy Besson, Céline Robardet
    A New Way to Aggregate Preferences: Application to Eurovision Song Contests. [Citation Graph (0, 0)][DBLP]
    IDA, 2007, pp:152-162 [Conf]
  23. Jérémy Besson, Céline Robardet, Luc De Raedt, Jean-François Boulicaut
    Mining Bi-sets in Numerical Data. [Citation Graph (0, 0)][DBLP]
    KDID, 2006, pp:11-23 [Conf]

  24. Analysis of Dynamic Sensor Networks: Power Law Then What? [Citation Graph (, )][DBLP]


  25. Constraint-Based Pattern Mining in Dynamic Graphs. [Citation Graph (, )][DBLP]


  26. An inductive database prototype based on virtual mining views. [Citation Graph (, )][DBLP]


  27. Data Peeler: Contraint-Based Closed Pattern Mining in n-ary Relations. [Citation Graph (, )][DBLP]


  28. Constraint-Based Subspace Clustering. [Citation Graph (, )][DBLP]


  29. A New Constraint for Mining Sets in Sequences. [Citation Graph (, )][DBLP]


  30. Communities detection and analysis of their dynamics in collaborative networks. [Citation Graph (, )][DBLP]


  31. SQUAT: A web tool to mine human, murine and avian SAGE data. [Citation Graph (, )][DBLP]


  32. Description and simulation of dynamic mobility networks. [Citation Graph (, )][DBLP]


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