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Fast Computation of Concept lattices Using Data Mining Techniques.

, , , , and . KRDB, volume 29 of CEUR Workshop Proceedings, page 129-139. CEUR-WS.org, (2000)

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Efficient Mining of Association Rules Using Closed Itemset Lattices., , , and . Inf. Syst., 24 (1): 25-46 (1999)Pruning closed itemset lattices for associations rules., , , and . BDA, (1998)Generating a Condensed Representation for Association Rules., , , , and . J. Intell. Inf. Syst., 24 (1): 29-60 (2005)Mining Frequent Patterns with Counting Inference., , , , and . SIGKDD Explorations, 2 (2): 66-75 (2000)Closed Set Based Discovery of Small Covers for Association Rules., , , and . Proc. 15èmes Journées Bases de Données Avancées, BDA, page 361-381. Actes, (1999)Levelwise Search of Frequent Patterns with Counting Inference., , , , and . BDA, (2000)Fast Computation of Concept lattices Using Data Mining Techniques., , , , and . KRDB, volume 29 of CEUR Workshop Proceedings, page 129-139. CEUR-WS.org, (2000)Computing iceberg concept lattices with T., , , , and . Data Knowl. Eng., 42 (2): 189-222 (2002)Mining Bases for Association Rules Using Closed Sets., , , and . ICDE, page 307. (2000)Mining Minimal Non-redundant Association Rules Using Frequent Closed Itemsets., , , , and . Computational Logic, volume 1861 of Lecture Notes in Computer Science, page 972-986. Springer, (2000)