%0 
%0 Conference Proceedings
%A Schmitz, Christoph; Hotho, Andreas; J\"a,schke, Robert & Stumme, Gerd
%D 2006
%T Mining Association Rules in Folksonomies
%E 
%B Proceedings of the IFCS 2006 Conference
%C 
%I Springer
%V 
%6
%N 
%P 
%& 
%Y 
%S Lecture Notes in Computer Science
%7
%8 July
%9
%? 
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%3 inproceedings
%4 
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%F schmitz2006mining
%K FCA, OntologyHandbook, association, folksonomy, rule
%X 
%Z 
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%^

%0 
%0 Report
%A Stumme, G.
%D 1999
%T Conceptual Knowledge Discovery with Frequent Concept Lattices
%E 
%B 
%C 
%I TU Darmstadt
%V 
%6
%N 
%P 
%& 
%Y 
%S 
%7
%8 
%9 {FB}4-{P}reprint 2043
%? 
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%)
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%1 
%2 Publications of Gerd Stumme
%3 techreport
%4 
%# 
%$ 
%F stumme99conceptualknowledge
%K 1999, analysis, association, closed, concept, condensed, data, discovery, fca, formal, frequent, iceberg, itemsets, kdd, knowledge, lattices, mining, myown, representations, rule, rules
%X 
%Z 
%U http://www.kde.cs.uni-kassel.de/stumme/papers/1999/P2043.pdf
%+
%^

%0 
%0 Journal Article
%A Pasquier, Nicolas; Taouil, Rafik; Bastide, Yves; Stumme, Gerd & Lakhal, Lotfi
%D 2005
%T Generating a Condensed Representation for Association Rules
%E 
%B Journal Intelligent Information Systems (JIIS)
%C 
%I Kluwer Academic Publishers
%V 24
%6
%N 1
%P 29-60
%& 
%Y 
%S 
%7
%8 
%9
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%3 article
%4 
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%$ 
%F pasquier2005generating
%K 2005, OntologyHandbook, analysis, association, closed, concept, condensed, data, discovery, fca, formal, itegpub, itemset, kdd, knowledge, l3s, mining, myown, representations, rule, rules, sets
%X 
%Z 
%U http://www.kde.cs.uni-kassel.de/stumme/papers/2005/pasquier2005generating.pdf
%+
%^

%0 
%0 Conference Proceedings
%A Schmitz, Christoph; Hotho, Andreas; Jäschke, Robert & Stumme, Gerd
%D 2006
%T Mining Association Rules in Folksonomies
%E Batagelj, V.; Bock, H.-H.; Ferligoj, A. & \v Z,iberna, A.
%B Data Science and Classification: Proc. of the 10th IFCS Conf.
%C Berlin, Heidelberg
%I Springer
%V 
%6
%N 
%P 261--270
%& 
%Y 
%S Studies in Classification, Data Analysis, and Knowledge Organization
%7
%8 
%9
%? 
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%F schmitz2006mining
%K 2006, FCA, OntologyHandbook, association, folksonomy, itegpub, myown, rule
%X 
%Z 
%U 
%+
%^

%0 
%0 Conference Proceedings
%A Bastide, Y.; Pasquier, N.; Taouil, R.; Stumme, G. & Lakhal, L.
%D 2000
%T Mining Minimal Non-Redundant Association Rules Using Frequent Closed Itemsets
%E Lloyd, J.; Dahl, V.; Furbach, U.; Kerber, M.; Laus, K.-K.; Palamidessi, C.; Pereira, L.M.; Sagiv, Y. & Stuckey, P.J.
%B Computational Logic --- CL 2000 Proc. CL'00
%C Heidelberg
%I Springer
%V 1861
%6
%N 
%P 
%& 
%Y 
%S LNAI
%7
%8 
%9
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%3 inproceedings
%4 
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%$ 
%F bastide00miningminimal
%K 2000, analys, association, closed, concept, condensed, data, discovery, fca, formal, frequent, itemsets, kdd, knowledge, mining, myown, representation, representations, rule, rules
%X 
%Z 
%U http://www.kde.cs.uni-kassel.de/stumme/papers/2000/DOOD00.pdf
%+
%^

%0 
%0 Journal Article
%A Bastide, Y.; Taouil, R.; Pasquier, N.; Stumme, G. & Lakhal, L.
%D 2000
%T Mining Frequent Patterns with Counting Inference.
%E 
%B SIGKDD Explorations, Special Issue on Scalable Algorithms
%C 
%I 
%V 2
%6
%N 2
%P 71-80
%& 
%Y 
%S 
%7
%8 
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%3 article
%4 
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%F bastide00miningfrequent
%K 2000, FCA, OntologyHandbook, analys, association, closed, concept, condensed, data, discovery, fca, formal, frequent, itemsets, kdd, knowledge, mining, myown, representation, representations, rule, rules
%X 
%Z 
%U 
%+
%^

%0 
%0 Conference Proceedings
%A Stumme, G.; Taouil, R.; Bastide, Y.; Pasquier, N. & Lakhal, L.
%D 2001
%T Intelligent Structuring and Reducing of Association Rules and with Formal Concept Analysis
%E Baader, F.; Brewker, G. & Eiter, T.
%B KI 2001: Advances in Artificial Intelligence. KI 2001
%C Heidelberg
%I Springer
%V 2174
%6
%N 
%P 335-350
%& 
%Y 
%S LNAI
%7
%8 
%9
%? 
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%3 inproceedings
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%F stumme01intelligent
%K 2001, FCA, OntologyHandbook, analysis, association, bases, closed, concept, condensed, discovery, fca, formal, itemsets, kdd, knowledge, mining, myown, representations, rule, rules
%X 
%Z 
%U http://www.kde.cs.uni-kassel.de/stumme/papers/2001/KI01.pdf
%+
%^