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6Efficient Mining of Association Rules Based on Formal Concept Analysis
L. Lakhal, and G. Stumme. volume 3626 of LNAI, page 180-195. Springer, Heidelberg, (2005)http://www.springerlink.com/content/31aa2gtve59x3jh1/.
18 years ago by @grahl
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3Generating a Condensed Representation for Association Rules
N. Pasquier, R. Taouil, Y. Bastide, G. Stumme, and L. Lakhal. Journal Intelligent Information Systems (JIIS), 24 (1): 29-60 (2005)
18 years ago by @grahl
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2Conceptual Knowledge Discovery - a Human-Centered Approach
J. Hereth, G. Stumme, R. Wille, and U. Wille. Journal of Applied Artificial Intelligence (AAI), 17 (3): 281-301 (2003)
18 years ago by @grahl
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4Intelligent Structuring and Reducing of Association Rules and with Formal Concept Analysis
G. Stumme, R. Taouil, Y. Bastide, N. Pasquier, and L. Lakhal. KI 2001: Advances in Artificial Intelligence. KI 2001, volume 2174 of LNAI, page 335-350. Heidelberg, Springer, (2001)
18 years ago by @grahl
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6Conceptual Clustering with Iceberg Concept Lattices
G. Stumme, R. Taouil, Y. Bastide, and L. Lakhal. Proc. GI-Fachgruppentreffen Maschinelles Lernen (FGML'01), Universität Dortmund 763, (October 2001)Part of stumme02computing.
18 years ago by @grahl
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9Conceptual Knowledge Discovery and Data Analysis
J. Hereth, G. Stumme, R. Wille, and U. Wille. Conceptual Structures: Logical, Linguistic, and Computational Issues. Proc. ICCS '00, volume 1867 of LNAI, page 421-437. Heidelberg, Springer, (2000)Part of hereth03conceptual.
18 years ago by @grahl
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6Mining Minimal Non-Redundant Association Rules Using Frequent Closed Itemsets
Y. Bastide, N. Pasquier, R. Taouil, G. Stumme, and L. Lakhal. Computational Logic --- CL 2000 Proc. CL'00, volume 1861 of LNAI, Heidelberg, Springer, (2000)Part of pasquierinpressgenerating.
18 years ago by @grahl
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3Levelwise Search of Frequent Patterns
Y. Bastide, R. Taouil, N. Pasquier, G. Stumme, and L. Lakhal. Actes des 16ièmes Journées Bases de Données Avancées, page 307-322. France, Blois, (October 2000)
18 years ago by @grahl
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4Conceptual Knowledge Discovery with Frequent Concept Lattices
G. Stumme. FB4-Preprint 2043, TU Darmstadt, (1999)
18 years ago by @grahl
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6Efficient Mining of Association Rules Based on Formal Concept Analysis

3Generating a Condensed Representation for Association Rules

2Conceptual Knowledge Discovery - a Human-Centered Approach

4Intelligent Structuring and Reducing of Association Rules and with Formal Concept Analysis

6Conceptual Clustering with Iceberg Concept Lattices

9Conceptual Knowledge Discovery and Data Analysis

6Mining Minimal Non-Redundant Association Rules Using Frequent Closed Itemsets

3Levelwise Search of Frequent Patterns

4Conceptual Knowledge Discovery with Frequent Concept Lattices

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