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5Computing Iceberg Concept Lattices with Titanic
G. Stumme, R. Taouil, Y. Bastide, N. Pasqier, and L. Lakhal. J. Knowledge and Data Engineering (KDE), 42 (2): 189-222 (2002)
18 years ago by @grahl
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formal
fca
titanic
concept
iceberg
analysis
itemset
lattices
closed
formalfcatitanicconcepticeberganalysisitemsetlatticesclosed
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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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conceptual
fca
concept
discovery
kdd
analysis
itemset
formal
clustering
iceberg
knowledge
lattices
closed
conceptualfcaconceptdiscoverykddanalysisitemsetformalclusteringicebergknowledgelatticesclosed
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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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fca
data-mining
concept
association
condensed
discovery
frequent
kdd
analysis
representation
itemset
rule
formal
iceberg
knowledge
lattices
closed
fcadata-miningconceptassociationcondenseddiscoveryfrequentkddanalysisrepresentationitemsetruleformalicebergknowledgelatticesclosed
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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)Invited Talk, summary of stumme02computing and pasquierinpressgenerating.
18 years ago by @grahl
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fca
data-mining
association
condensed
discovery
kdd
representation
knowledge
itemset
closed
rule
fcadata-miningassociationcondenseddiscoverykddrepresentationknowledgeitemsetclosedrule
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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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fca
data-mining
book
concept
association
condensed
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representation
itemset
rule
formal
knowledge
closed
fcadata-miningbookconceptassociationcondenseddiscoverykddanalysisrepresentationitemsetruleformalknowledgeclosed
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4Fast Computation of Concept Lattices Using Data Mining Techniques
G. Stumme, R. Taouil, Y. Bastide, N. Pasquier, and L. Lakhal. Proc. 7th Intl. Workshop on Knowledge Representation Meets Databases, (2000)http://ceur-ws.org/Vol-29. Part of stumme02computing.
18 years ago by @grahl
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formal
fca
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condensed
iceberg
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algorithm
computation
formalfcaconceptcondensediceberganalysisrepresentationitemsetlatticesclosedalgorithmcomputation
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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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fca
data-mining
sets
concept
association
condensed
discovery
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analysis
representation
itemset
rule
formal
knowledge
closed
fcadata-miningsetsconceptassociationcondenseddiscoverykddanalysisrepresentationitemsetruleformalknowledgeclosed
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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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fca
data-mining
concept
association
condensed
discovery
kdd
analysis
representation
itemset
rule
formal
knowledge
closed
base
fcadata-miningconceptassociationcondenseddiscoverykddanalysisrepresentationitemsetruleformalknowledgeclosedbase
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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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fca
data-mining
concept
association
condensed
discovery
frequent
kdd
analysis
representation
itemset
rule
formal
knowledge
closed
algorithm
fcadata-miningconceptassociationcondenseddiscoveryfrequentkddanalysisrepresentationitemsetruleformalknowledgeclosedalgorithm
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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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fca
data-mining
concept
association
condensed
discovery
frequent
kdd
analysis
representation
itemset
rule
formal
knowledge
closed
fcadata-miningconceptassociationcondenseddiscoveryfrequentkddanalysisrepresentationitemsetruleformalknowledgeclosed
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2Pascal: un alogorithme d'extraction des motifs fréquents
Y. Bastide, R. Taouil, N. Pasquier, G. Stumme, and L. Lakhal. Technique et Science Informatiques (TSI), 21 (1): 65-95 (2002)
18 years ago by @grahl
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pascal
fca
concept
association
condensed
analysis
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rule
formal
titanic
iceberg
lattices
closed
pascalfcaconceptassociationcondensedanalysisrepresentationitemsetruleformaltitaniciceberglatticesclosed
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publications (hide)11
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5Computing Iceberg Concept Lattices with Titanic

6Conceptual Clustering with Iceberg Concept Lattices

4Conceptual Knowledge Discovery with Frequent Concept Lattices

7Efficient Data Mining Based on Formal Concept Analysis

6Efficient Mining of Association Rules Based on Formal Concept Analysis

4Fast Computation of Concept Lattices Using Data Mining Techniques

3Generating a Condensed Representation for Association Rules

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

3Levelwise Search of Frequent Patterns

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

2Pascal: un alogorithme d'extraction des motifs fréquents

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