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Computing Iceberg Concept Lattices with Titanic

, , , , и . Data & Knowledge Engineering, 42 (2): 189--222 (августа 2002)
DOI: 10.1016/S0169-023X(02)00057-5

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Nicolas Pasquier

Nicolas Pasquier

Michel Pasquier

Philippe Pasquier

Bruno Pasquier

 

Другие публикации лиц с тем же именем

Mining bases for association rules using closed sets, , , , и . Proceedings of the ICDE International Conference on Data Engineering, (2000)Generating a condensed representation for association rules, и . JOURNAL OF INTELLIGENT INFORMATION SYSTEMS, KLUWER ACADEMIC PUBLISHER, 24 (1): 29--60 (2005)Multi-objective Clustering Ensemble for Varying Number of Clusters., , и . SITIS, стр. 387-395. IEEE, (2018)Computing Iceberg Concept Lattices with Titanic, , , , и . Data & Knowledge Engineering, 42 (2): 189--222 (августа 2002)Closed Set Based Discovery of Small Covers for Association Rules., , , и . Proc. 15èmes Journées Bases de Données Avancées, BDA, стр. 361-381. Actes, (1999)Pascal : un algorithme d'extraction des motifs frequents, , , , и . Technique et Science Informatiques, (2000)Computing Iceberg Concept Lattices with TITANIC, , , , и . 406. University of Karlsruhe, Institute AIFB, 76128 Karlsruhe, Germany, (января 2001)Levelwise Search of Frequent Patterns, , , , и . Actes des 16 Journ Bases de Donn Avanc, Blois, France, 24-27 Octobre 2000, стр. 307-322. (2000)Semi-supervised Consensus Clustering Based on Frequent Closed Itemsets., , , , и . CIKM, стр. 3341-3344. ACM, (2020)Ensemble Clustering based Semi-supervised Learning for Revenue Accounting Workflow Management., , и . DATA, стр. 283-293. SciTePress, (2020)