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Mining Significant Maximum Cardinalities in Knowledge Bases.

, , and . ISWC (1), volume 11778 of Lecture Notes in Computer Science, page 182-199. Springer, (2019)

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Mining constraint-based patterns using automatic relaxation., and . Intell. Data Anal., 13 (1): 109-133 (2009)Average Number of Frequent and Closed Patterns in Random Databases., , and . CAP, page 345-360. PUG, (2005)Contextual preference mining for user profile construction., , , , , and . Inf. Syst., (2015)Condensed Representation of EPs and Patterns Quantified by Frequency-Based Measures., , and . KDID, volume 3377 of Lecture Notes in Computer Science, page 173-190. Springer, (2004)A Relational View of Pattern Discovery., , and . DASFAA (1), volume 6587 of Lecture Notes in Computer Science, page 153-167. Springer, (2011)Mining Significant Maximum Cardinalities in Knowledge Bases., , and . ISWC (1), volume 11778 of Lecture Notes in Computer Science, page 182-199. Springer, (2019)Interactive Pattern Sampling for Characterizing Unlabeled Data., and . IDA, volume 10584 of Lecture Notes in Computer Science, page 99-111. Springer, (2017)Frequent Pattern Outlier Detection Without Exhaustive Mining., and . PAKDD (2), volume 9652 of Lecture Notes in Computer Science, page 196-207. Springer, (2016)Efficiently Depth-First Minimal Pattern Mining., and . PAKDD (1), volume 8443 of Lecture Notes in Computer Science, page 28-39. Springer, (2014)Extraction des Top-k Motifs par Approximer-et-Pousser., and . EGC, volume RNTI-E-9 of Revue des Nouvelles Technologies de l'Information, page 271-282. Cépaduès-Éditions, (2007)