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Fouille de données complexes et logique floue : extraction de motifs à partir de bases de données multidimensionnelles
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Fouille de données complexes et logique floue : extraction de motifs à partir de bases de données multidimensionnelles

Anne Laurent
Habilitation à diriger des recherches, Université de Montpellier
27/04/2009

Résumé

fouille de données logique floue OLAP Bases de données multidimensionnelles motifs séquentiels motifs graduels Data Mining Fuzzy Logic Multidimensional Databases Sequential Patterns Gradual Patterns
This report describes my research activities I have been conducting for the last six years. This work has been mainly led at the LIRMM lab (Univ. Montpellier 2, CNRS UMR 5506), within the TATOO group. In this framework, I have put the emphasis on putting together research fields that were seen as antogonistic: managing the imperfection (on both data and discovered patterns) on the one hand, data mining on the second hand, and complex and huge databases on the other hand. More precisely, my research work aims at studying the use of fuzzy logic to mine more valuable patterns from data warehouses, while remaining scalable. To this aim, I have led, conducted and supervised research and industrial work that I discuss here by providing a synthetical view.

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