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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]