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Jean-François Boulicaut: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Jean-Marc Petit, Jacques Kouloumdjian, Jean-François Boulicaut, Farouk Toumani
    Using Queries to Improve Database Reverse Engineering. [Citation Graph (9, 15)][DBLP]
    ER, 1994, pp:369-386 [Conf]
  2. Jean-Marc Petit, Farouk Toumani, Jean-François Boulicaut, Jacques Kouloumdjian
    Towards the Reverse Engineering of Denormalized Relational Databases. [Citation Graph (3, 19)][DBLP]
    ICDE, 1996, pp:218-227 [Conf]
  3. Jean-François Boulicaut, Mika Klemettinen, Heikki Mannila
    Modeling KDD Processes within the Inductive Database Framework. [Citation Graph (1, 0)][DBLP]
    DaWaK, 1999, pp:293-302 [Conf]
  4. Jean-François Boulicaut, Artur Bykowski, L. Gomez-Chantada
    Association Rule Discovery in Highly-Correlated Data: a Case Study in Web Usage Mining. [Citation Graph (0, 0)][DBLP]
    ADBIS-DASFAA Symposium, 2000, pp:46-55 [Conf]
  5. Ruggero G. Pensa, Jean-François Boulicaut
    Towards Fault-Tolerant Formal Concept Analysis. [Citation Graph (0, 0)][DBLP]
    AI*IA, 2005, pp:212-223 [Conf]
  6. Jean-François Boulicaut, Baptiste Jeudy
    Using Constraints during Frequent Set Mining: a Generic Approach. [Citation Graph (0, 0)][DBLP]
    BDA, 2000, pp:- [Conf]
  7. Jean-François Boulicaut, Patrick Marcel, Christophe Rigotti
    Query-Driven Knowledge Discovery via OLAP manipulations. [Citation Graph (0, 0)][DBLP]
    BDA, 2001, pp:- [Conf]
  8. Christophe Rigotti, Mohand-Said Hacid, Jean-François Boulicaut
    Une approche multi-paradigmes our le test d'applications BDOO. [Citation Graph (0, 0)][DBLP]
    BDA, 1994, pp:- [Conf]
  9. Jean Beney, Jean-François Boulicaut
    STARLET: An Affix-Based Compiler Compiler Designed as a Logic Programming System. [Citation Graph (0, 0)][DBLP]
    CC, 1990, pp:71-85 [Conf]
  10. 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]
  11. Marco Botta, Jean-François Boulicaut, Cyrille Masson, Rosa Meo
    Query Languages Supporting Descriptive Rule Mining: A Comparative Study. [Citation Graph (0, 0)][DBLP]
    Database Support for Data Mining Applications, 2004, pp:24-51 [Conf]
  12. Toon Calders, Christophe Rigotti, Jean-François Boulicaut
    A Survey on Condensed Representations for Frequent Sets. [Citation Graph (0, 0)][DBLP]
    Constraint-Based Mining and Inductive Databases, 2004, pp:64-80 [Conf]
  13. Jean-François Boulicaut
    Inductive Databases and Multiple Uses of Frequent Itemsets: The cInQ Approach. [Citation Graph (0, 0)][DBLP]
    Database Support for Data Mining Applications, 2004, pp:1-23 [Conf]
  14. 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]
  15. 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]
  16. Marco Botta, Jean-François Boulicaut, Cyrille Masson, Rosa Meo
    A Comparison between Query Languages for the Extraction of Association Rules. [Citation Graph (0, 0)][DBLP]
    DaWaK, 2002, pp:1-10 [Conf]
  17. Kimmo Hätönen, Jean-François Boulicaut, Mika Klemettinen, Markus Miettinen, Cyrille Masson
    Comprehensive Log Compression with Frequent Patterns. [Citation Graph (0, 0)][DBLP]
    DaWaK, 2003, pp:360-370 [Conf]
  18. Jean-François Boulicaut, Patrick Marcel, Francois Pinet, Christophe Rigotti
    Spreadsheet Generation from Rule-Based Specifications. [Citation Graph (0, 0)][DBLP]
    DDLP, 1998, pp:59-70 [Conf]
  19. 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]
  20. Nazha Selmaoui, Claire Leschi, Dominique Gay, Jean-François Boulicaut
    Feature Construction and delta-Free Sets in 0/1 Samples. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 2006, pp:363-367 [Conf]
  21. François Rioult, Jean-François Boulicaut, Bruno Crémilleux, Jérémy Besson
    Using transposition for pattern discovery from microarray data. [Citation Graph (0, 0)][DBLP]
    DMKD, 2003, pp:73-79 [Conf]
  22. Jean-François Boulicaut, Patrick Marcel, Christophe Rigotti
    Query Driven Knowledge Discovery in Multidimensional Data. [Citation Graph (0, 8)][DBLP]
    DOLAP, 1999, pp:87-93 [Conf]
  23. Clément Fauré, Sylvie Delprat, Jean-François Boulicaut, Alain Mille
    Iterative Bayesian Network Implementation by Using Annotated Association Rules. [Citation Graph (0, 0)][DBLP]
    EKAW, 2006, pp:326-333 [Conf]
  24. Baptiste Jeudy, Jean-François Boulicaut
    Constraint-Based Discovery and Inductive Queries: Application to Association Rule Mining. [Citation Graph (0, 0)][DBLP]
    Pattern Detection and Discovery, 2002, pp:110-124 [Conf]
  25. Hunor Albert-Lorincz, Jean-François Boulicaut
    Amélioration des indicateurs techniques pour l'analyse du marché financier. [Citation Graph (0, 0)][DBLP]
    EGC, 2006, pp:693-704 [Conf]
  26. Matthieu Capelle, Jean-François Boulicaut, Cyrille Masson
    Extraction de motifs séquentiels sous contraintes de similarité. [Citation Graph (0, 0)][DBLP]
    EGC, 2002, pp:65-76 [Conf]
  27. Clément Fauré, Sylvie Delprat, Alain Mille, Jean-François Boulicaut
    Utilisation des réseaux bayésiens dans le cadre de l'extraction de règles d'association. [Citation Graph (0, 0)][DBLP]
    EGC, 2006, pp:569-580 [Conf]
  28. Marion Leleu, Jean-François Boulicaut
    Signatures de situations boursières représentées par des séquences d'événements. [Citation Graph (0, 0)][DBLP]
    EGC, 2002, pp:89-100 [Conf]
  29. Jean-François Boulicaut, Artur Bykowski, Baptiste Jeudy
    Towards the Tractable Discovery of Association Rules with Negations. [Citation Graph (0, 0)][DBLP]
    FQAS, 2000, pp:425-434 [Conf]
  30. 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]
  31. Christophe Rigotti, Mohand-Said Hacid, Jean-François Boulicaut
    F-Logic Programming and Terminological Constraints. [Citation Graph (0, 0)][DBLP]
    ICLP Workshop: Integration of Declarative Paradigms, 1994, pp:1-11 [Conf]
  32. 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]
  33. Matthieu Capelle, Cyrille Masson, Jean-François Boulicaut
    Mining Frequent Sequential Patterns under a Similarity Constraint. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2002, pp:1-6 [Conf]
  34. Jean-François Boulicaut, Baptiste Jeudy
    Mining Free Itemsets under Constraints. [Citation Graph (0, 0)][DBLP]
    IDEAS, 2001, pp:322-329 [Conf]
  35. 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]
  36. Jean-François Boulicaut, Christophe Rigotti
    Abduction et déduction de structures d'objets: une intégration multiparadigmes. [Citation Graph (0, 0)][DBLP]
    JFPLC, 1996, pp:17-32 [Conf]
  37. Jean Beney, Jean-François Boulicaut
    STARLET: un langage pour une programmation logique fiable. [Citation Graph (0, 0)][DBLP]
    SPLT, 1986, pp:253-0 [Conf]
  38. Christophe Rigotti, Jean-François Boulicaut, Mohand-Said Hacid
    Vers une typologie des sémantiques opérationnelles pour les extensions de Prolog vers les objets. [Citation Graph (0, 0)][DBLP]
    JFPLC, 1994, pp:223-238 [Conf]
  39. Sadeph Saidi, Jean-François Boulicaut
    AFFLOG: une implantation de grammaires à deux niveaux pour l'étude de la Programmation Grammaticale Logique. [Citation Graph (0, 0)][DBLP]
    SPLT, 1990, pp:45-70 [Conf]
  40. 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]
  41. Hunor Albert-Lorincz, Jean-François Boulicaut
    A Framework for Frequent Sequence Mining under Generalized Regular Expression Constraints. [Citation Graph (0, 0)][DBLP]
    KDID, 2003, pp:2-16 [Conf]
  42. 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]
  43. 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]
  44. 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]
  45. Marion Leleu, Christophe Rigotti, Jean-François Boulicaut, Guillaume Euvrard
    GO-SPADE: Mining Sequential Patterns over Datasets with Consecutive Repetitions. [Citation Graph (0, 0)][DBLP]
    MLDM, 2003, pp:293-306 [Conf]
  46. 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]
  47. Jean-François Boulicaut, Artur Bykowski
    Frequent Closures as a Concise Representation for Binary Data Mining. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2000, pp:62-73 [Conf]
  48. 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]
  49. Jean-François Boulicaut
    Query Languages for Knowledge Discovery in Databases. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:582-583 [Conf]
  50. Jean-François Boulicaut, Artur Bykowski, Christophe Rigotti
    Approximation of Frequency Queris by Means of Free-Sets. [Citation Graph (0, 0)][DBLP]
    PKDD, 2000, pp:75-85 [Conf]
  51. Jean-François Boulicaut, Mika Klemettinen, Heikki Mannila
    Querying Inductive Databases: A Case Study on the MINE RULE Operator. [Citation Graph (0, 0)][DBLP]
    PKDD, 1998, pp:194-202 [Conf]
  52. Baptiste Jeudy, Jean-François Boulicaut
    Using Condensed Representations for Interactive Association Rule Mining. [Citation Graph (0, 0)][DBLP]
    PKDD, 2002, pp:225-236 [Conf]
  53. Marion Leleu, Christophe Rigotti, Jean-François Boulicaut, Guillaume Euvrard
    Constraint-Based Mining of Sequential Patterns over Datasets with Consecutive Repetitions. [Citation Graph (0, 0)][DBLP]
    PKDD, 2003, pp:303-314 [Conf]
  54. 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]
  55. Sadeph Saidi, Jean-François Boulicaut
    Checking and Debugging of Two-level Grammars. [Citation Graph (0, 0)][DBLP]
    PLILP, 1992, pp:158-171 [Conf]
  56. 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]
  57. Ieva Mitasiunaite, Jean-François Boulicaut
    Looking for monotonicity properties of a similarity constraint on sequences. [Citation Graph (0, 0)][DBLP]
    SAC, 2006, pp:546-552 [Conf]
  58. Hunor Albert-Lorincz, Jean-François Boulicaut
    Mining Frequent Sequential Patterns under Regular Expressions: A Highly Adaptive Strategy for Pushing Contraints. [Citation Graph (0, 0)][DBLP]
    SDM, 2003, pp:- [Conf]
  59. Jean-François Boulicaut, Artur Bykowski, Christophe Rigotti
    Free-Sets: A Condensed Representation of Boolean Data for the Approximation of Frequency Queries. [Citation Graph (0, 0)][DBLP]
    Data Min. Knowl. Discov., 2003, v:7, n:1, pp:5-22 [Journal]
  60. 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]
  61. Baptiste Jeudy, Jean-François Boulicaut
    Optimization of association rule mining queries. [Citation Graph (0, 0)][DBLP]
    Intell. Data Anal., 2002, v:6, n:4, pp:341-357 [Journal]
  62. 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]
  63. Jean-François Boulicaut, Bruno Crémilleux
    Introduction. [Citation Graph (0, 0)][DBLP]
    Ingénierie des Systèmes d'Information, 2004, v:9, n:3-4, pp:7-22 [Journal]
  64. 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]

  65. Introducing Softness into Inductive Queries on String Databases. [Citation Graph (, )][DBLP]


  66. Comparing Intended and Real Usage in Web Portal: Temporal Logic and Data Mining. [Citation Graph (, )][DBLP]


  67. Agglomerating local patterns hierarchically with ALPHA. [Citation Graph (, )][DBLP]


  68. A Parameter-Free Associative Classification Method. [Citation Graph (, )][DBLP]


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


  70. Extraction de motifs fermés dans des relations n-aires bruitées. [Citation Graph (, )][DBLP]


  71. Construction de descripteurs pour classer à partir d'exemples bruités. [Citation Graph (, )][DBLP]


  72. If Constraint-Based Mining is the Answer: What is the Constraint? (Invited Talk). [Citation Graph (, )][DBLP]


  73. Parameter Tuning for Differential Mining of String Patterns. [Citation Graph (, )][DBLP]


  74. Actionability and Formal Concepts: A Data Mining Perspective. [Citation Graph (, )][DBLP]


  75. Discovering Relevant Cross-Graph Cliques in Dynamic Networks. [Citation Graph (, )][DBLP]


  76. Feature Construction Based on Closedness Properties Is Not That Simple. [Citation Graph (, )][DBLP]


  77. Application-Independent Feature Construction from Noisy Samples. [Citation Graph (, )][DBLP]


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


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


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


  81. Pattern-based decision tree construction. [Citation Graph (, )][DBLP]


  82. Construction itérative d'un modèle de connaissance par l'exploitation de règles d'association. [Citation Graph (, )][DBLP]


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


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