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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)
15 years ago by @stumme
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FCA
fca
concept
association
condensed
2001
discovery
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rules
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formal
bases
mining
OntologyHandbook
knowledge
closed
itemsets
myownFCAfcaconceptassociationcondensed2001discoverykddrulesanalysisrulerepresentationsformalbasesminingOntologyHandbookknowledgecloseditemsets
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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)
16 years ago by @stumme
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OntologyHandbook
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4Mining Frequent Patterns with Counting Inference.
Y. Bastide, R. Taouil, N. Pasquier, G. Stumme, and L. Lakhal. SIGKDD Explorations, Special Issue on Scalable Algorithms, 2 (2): 71-80 (2000)
16 years ago by @stumme
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fca
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concept
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2000
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rules
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analys
formal
mining
OntologyHandbook
knowledge
closed
itemsets
myownFCAfcadataconceptassociationcondenseddiscovery2000frequentkddrulesrepresentationrulerepresentationsanalysformalminingOntologyHandbookknowledgecloseditemsets
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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)
16 years ago by @stumme
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myownfcadataconceptassociationcondenseddiscovery2000frequentkddrulesrepresentationrulerepresentationsanalysformalminingknowledgecloseditemsets
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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)
16 years ago by @stumme
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1Semantic Web Mining. Workshop Proceedings.
G. Stumme, A. Hotho, and B. Berendt (Eds.) Freiburg, (September 2001)
16 years ago by @stumme
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7Efficient Data Mining Based on Formal Concept Analysis
G. Stumme. Database and Expert Systems Applications. Proc. DEXA 2002, volume 2453 of LNCS, page 534-546. Heidelberg, Springer, (2002)
16 years ago by @stumme
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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)
16 years ago by @stumme
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9Wordnet improves text document clustering
A. Hotho, S. Staab, and G. Stumme. Proc. SIGIR Semantic Web Workshop, Toronto, (2003)
18 years ago by @stumme
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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 @stumme
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OntologyHandbook
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8Building and Using the Semantic Web
R. Studer, G. Stumme, S. Handschuh, A. Hotho, and B. Motik. New Trends in Knowledge Processing -- Data Mining, Semantic Web and Computational, page 31-34. Osaka, Japan, (March 2003)
18 years ago by @stumme
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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 @stumme
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myownfcaalgorithmsdataconceptcondensedassociationdiscovery2000frequentruleskddanalysisrepresentationsformalminingknowledgeitemsetsclosedalgorithm
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4Conceptual Knowledge Discovery with Frequent Concept Lattices
G. Stumme. FB4-Preprint 2043, TU Darmstadt, (1999)
18 years ago by @stumme
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1999
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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 @stumme
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15Ontologies improve text document clustering
A. Hotho, S. Staab, and G. Stumme. Proceedings of the 2003 IEEE International Conference on Data Mining, page 541-544 (Poster. Melbourne, Florida, IEEE Computer Society, (November 2003)
18 years ago by @stumme
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2003
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BibSonomy

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publications (hide)15
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4Intelligent Structuring and Reducing of Association Rules and with Formal Concept Analysis

9Conceptual Knowledge Discovery and Data Analysis

4Mining Frequent Patterns with Counting Inference.

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

6Conceptual Clustering with Iceberg Concept Lattices

1Semantic Web Mining. Workshop Proceedings.

7Efficient Data Mining Based on Formal Concept Analysis

6Efficient Mining of Association Rules Based on Formal Concept Analysis

9Wordnet improves text document clustering

3Generating a Condensed Representation for Association Rules

8Building and Using the Semantic Web

3Levelwise Search of Frequent Patterns

4Conceptual Knowledge Discovery with Frequent Concept Lattices

2Conceptual Knowledge Discovery - a Human-Centered Approach

15Ontologies improve text document clustering

International Conference on Conceptual Structures

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