Schmitz, C.; Hotho, A.; Jäschke, R. & Stumme, G.: Mining Association Rules in Folksonomies. In: Batagelj, V.; Bock, H.-H.; Ferligoj, A. & vZiberna, A. (Hrsg.): Data Science and Classification: Proc. of the 10th IFCS Conf.. Berlin, Heidelberg: Springer, 2006Studies in Classification, Data Analysis, and Knowledge Organization , S. 261-270
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Schmitz, C.; Hotho, A.; Jäschke, R. & Stumme, G.: Mining Association Rules in Folksonomies. Proceedings of the IFCS 2006 Conference. Springer, 2006Lecture Notes in Computer Science
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Pasquier, N.; Taouil, R.; Bastide, Y.; Stumme, G. & Lakhal, L.: Generating a Condensed Representation for Association Rules. In: Journal Intelligent Information Systems (JIIS) 24 (2005), Nr. 1, S. 29-60
[Volltext]
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Stumme, G.; Taouil, R.; Bastide, Y.; Pasquier, N. & Lakhal, L.: Intelligent Structuring and Reducing of Association Rules and with Formal Concept Analysis. In: Baader, F.; Brewker, G. & Eiter, T. (Hrsg.): KI 2001: Advances in Artificial Intelligence. KI 2001. Heidelberg: Springer, 2001 (LNAI 2174), S. 335-350
[Volltext]
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Bastide, Y.; Taouil, R.; Pasquier, N.; Stumme, G. & Lakhal, L.: Mining Frequent Patterns with Counting Inference.. In: SIGKDD Explorations, Special Issue on Scalable Algorithms 2 (2000), Nr. 2, S. 71-80
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Bastide, Y.; Pasquier, N.; Taouil, R.; Stumme, G. & Lakhal, L.: Mining Minimal Non-Redundant Association Rules Using Frequent Closed Itemsets. In: Lloyd, J.; Dahl, V.; Furbach, U.; Kerber, M.; Laus, K.-K.; Palamidessi, C.; Pereira, L.; Sagiv, Y. & Stuckey, P. (Hrsg.): Computational Logic -- CL 2000 Proc. CL'00. Heidelberg: Springer, 2000 (LNAI 1861)
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Stumme, G.: Conceptual Knowledge Discovery with Frequent Concept Lattices. , 1999
[Volltext]
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