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Ruggero G. Pensa: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Ruggero G. Pensa, Jean-François Boulicaut
    Towards Fault-Tolerant Formal Concept Analysis. [Citation Graph (0, 0)][DBLP]
    AI*IA, 2005, pp:212-223 [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. Ruggero G. Pensa, Jean-François Boulicaut
    Boolean Property Encoding for Local Set Pattern Discovery: An Application to Gene Expression Data Analysis. [Citation Graph (0, 0)][DBLP]
    Local Pattern Detection, 2004, pp:115-134 [Conf]
  4. Ruggero G. Pensa, Jérémy Besson, Jean-François Boulicaut
    A Methodology for Biologically Relevant Pattern Discovery from Gene Expression Data. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 2004, pp:230-241 [Conf]
  5. Ruggero G. Pensa, Jean-François Boulicaut
    From Local Pattern Mining to Relevant Bi-cluster Characterization. [Citation Graph (0, 0)][DBLP]
    IDA, 2005, pp:293-304 [Conf]
  6. 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]
  7. Ruggero G. Pensa, Claire Leschi, Jérémy Besson, Jean-François Boulicaut
    Assessment of discretization techniques for relevant pattern discovery from gene expression data. [Citation Graph (0, 0)][DBLP]
    BIOKDD, 2004, pp:24-30 [Conf]
  8. 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]
  9. 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]
  10. 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]
  11. 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]

  12. Ontology-Driven Co-clustering of Gene Expression Data. [Citation Graph (, )][DBLP]


  13. Pattern-Preserving k-Anonymization of Sequences and its Application to Mobil- ity Data Mining. [Citation Graph (, )][DBLP]


  14. Co-classification sous contraintes par la somme des résidus quadratiques. [Citation Graph (, )][DBLP]


  15. Context-Based Distance Learning for Categorical Data Clustering. [Citation Graph (, )][DBLP]


  16. Parameter-Free Hierarchical Co-clustering by n-Ary Splits. [Citation Graph (, )][DBLP]


  17. Constrained Co-clustering of Gene Expression Data. [Citation Graph (, )][DBLP]


  18. Numerical Data Co-clustering via Sum-Squared Residue Minimization and User-defined Constraint Satisfaction. [Citation Graph (, )][DBLP]


  19. Anonymous Sequences from Trajectory Data. [Citation Graph (, )][DBLP]


  20. Social Network Analysis as Knowledge Discovery Process: A Case Study on Digital Bibliography. [Citation Graph (, )][DBLP]


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


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