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Prototype de clustering exploratoire pour l'aide à la segmentation des clients.

, , , , and . EGC, volume E-33 of Revue des Nouvelles Technologies de l'Information, page 457-460. Éditions RNTI, (2017)

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Et si on comprenait la structure de graphes de connaissances comme Wikidata ?, , and . IC, page 126-131. PFIA, (2023)Prototype de clustering exploratoire pour l'aide à la segmentation des clients., , , , and . EGC, volume E-33 of Revue des Nouvelles Technologies de l'Information, page 457-460. Éditions RNTI, (2017)Mining Significant Maximum Cardinalities in Knowledge Bases., , and . ISWC (1), volume 11778 of Lecture Notes in Computer Science, page 182-199. Springer, (2019)Construction de profils de préférences contextuelles basée sur l'extraction de motifs séquentiels., , and . EGC, volume E-26 of Revue des Nouvelles Technologies de l'Information, page 419-430. Hermann-Éditions, (2014)Echantillonnage de motifs avec une contrainte de fréquence.. EGC, volume E-39 of RNTI, page 115-126. Editions RNTI, (2023)Anytime Large-Scale Analytics of Linked Open Data., and . ISWC (1), volume 11778 of Lecture Notes in Computer Science, page 576-592. Springer, (2019)Should We Consider On-Demand Analysis in Scale-Free Networks?. IDA, volume 13876 of Lecture Notes in Computer Science, page 406-418. Springer, (2023)Trie-based Output Space Itemset Sampling., , , and . IEEE Big Data, page 6-15. IEEE, (2022)How Your Supporters and Opponents Define Your Interestingness., , and . ECML/PKDD (1), volume 11051 of Lecture Notes in Computer Science, page 373-389. Springer, (2018)Sequential Pattern Sampling with Norm Constraints., , , , and . ICDM, page 89-98. IEEE Computer Society, (2018)