tag :: Data fca formal

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4A Repository for Formal Contexts
T. Hanika, and R. Jäschke. Conceptual Knowledge Structures, 14914, page 182--197. Cham, Springer Nature Switzerland, (2024)
9 months ago by @jaeschke
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2024
analysis
concept
data
dataset
fca
formal
myown
repository
research
2024analysisconceptdatadatasetfcaformalmyownrepositoryresearch
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2MinerLSD: Efficient Local Pattern Mining on Attributed Graphs
M. Atzmueller, H. Soldano, G. Santini, and D. Bouthinon. Proc. Proc. 2018 IEEE International Conference on Data Mining Workshops (ICDMW), ((accepted) 2018)
7 years ago by @atzmueller
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2018
abstraction
analysis
attributed
complex
concept
core
data
fca
formal
graph
local
mining
myown
network
pattern
2018abstractionanalysisattributedcomplexconceptcoredatafcaformalgraphlocalminingmyownnetworkpattern
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6Attribute Exploration on the Web
R. Jäschke, and S. Rudolph. Contributions to the 11th International Conference on Formal Concept Analysis, page 19--34. Technische Universität Dresden, (May 2013)
10 years ago by @kde-alumni
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2013
acquisition
analysis
attribute
computing
concept
crowdsourcing
data
exploration
fca
formal
human
information
ir
knowledge
linked
lod
myown
open
retrieval
search
sparql
web
2013acquisitionanalysisattributecomputingconceptcrowdsourcingdataexplorationfcaformalhumaninformationirknowledgelinkedlodmyownopenretrievalsearchsparqlweb
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6Attribute Exploration on the Web
R. Jäschke, and S. Rudolph. Contributions to the 11th International Conference on Formal Concept Analysis, page 19--34. Technische Universität Dresden, (May 2013)
10 years ago by @kdepublication
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2013
acquisition
analysis
attribute
computing
concept
crowdsourcing
data
exploration
fca
formal
human
information
ir
iteg
kde
knowledge
l3s
linked
lod
mykopie
myown
open
retrieval
search
sparql
web
2013acquisitionanalysisattributecomputingconceptcrowdsourcingdataexplorationfcaformalhumaninformationiritegkdeknowledgel3slinkedlodmykopiemyownopenretrievalsearchsparqlweb
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6Attribute Exploration on the Web
R. Jäschke, and S. Rudolph. Contributions to the 11th International Conference on Formal Concept Analysis, page 19--34. Technische Universität Dresden, (May 2013)
12 years ago by @stumme
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2013
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analysis
attribute
computing
concept
crowdsourcing
data
exploration
fca
formal
human
information
ir
iteg
knowledge
l3s
linked
lod
open
retrieval
search
sparql
web
2013acquisitionanalysisattributecomputingconceptcrowdsourcingdataexplorationfcaformalhumaninformationiritegknowledgel3slinkedlodopenretrievalsearchsparqlweb
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6Attribute Exploration on the Web
R. Jäschke, and S. Rudolph. Contributions to the 11th International Conference on Formal Concept Analysis, page 19--34. Technische Universität Dresden, (May 2013)
12 years ago by @jaeschke
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2013
acquisition
analysis
attribute
computing
concept
crowdsourcing
data
exploration
fca
formal
human
information
ir
knowledge
linked
lod
myown
open
retrieval
search
sparql
web
2013acquisitionanalysisattributecomputingconceptcrowdsourcingdataexplorationfcaformalhumaninformationirknowledgelinkedlodmyownopenretrievalsearchsparqlweb
(0)
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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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2000
FCA
OntologyHandbook
analys
association
closed
concept
condensed
data
discovery
fca
formal
frequent
itemsets
kdd
knowledge
mining
myown
representation
representations
rule
rules
2000FCAOntologyHandbookanalysassociationclosedconceptcondenseddatadiscoveryfcaformalfrequentitemsetskddknowledgeminingmyownrepresentationrepresentationsrulerules
(0)
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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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2000
analys
association
closed
concept
condensed
data
discovery
fca
formal
frequent
itemsets
kdd
knowledge
mining
myown
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representations
rule
rules
2000analysassociationclosedconceptcondenseddatadiscoveryfcaformalfrequentitemsetskddknowledgeminingmyownrepresentationrepresentationsrulerules
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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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2005
analysis
association
book
closed
concept
condensed
data
discovery
fca
formal
itegpub
itemsets
kdd
knowledge
l3s
mining
myown
representations
rules
2005analysisassociationbookclosedconceptcondenseddatadiscoveryfcaformalitegpubitemsetskddknowledgel3sminingmyownrepresentationsrules
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3Concept-Based Data Mining with Scaled Labeled Graphs.
B. Ganter, P. Grigoriev, S. Kuznetsov, and M. Samokhin. Proceedings of the 12th International Conference on Conceptual Structures (ICCS 2004), volume 3127 of Lecture Notes in Computer Science, page 94-108. Springer, (2004)
18 years ago by @iccs
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2004
analysis
concept
data
fca
formal
iccs
labeled
mining
2004analysisconceptdatafcaformaliccslabeledmining
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4FooCA - Web Information Retrieval with Formal Concept Analysis
B. Koester. Verlag Allgemeine Wissenschaft, 1 edition, (2006)
18 years ago by @bjoernk
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web
retrieval
formal
information
fooca
concept
data
mining
analysis
introduction
fca
webretrievalformalinformationfoocaconceptdatamininganalysisintroductionfca
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3Conceptual On-Line Analytical Processing
G. Stumme. Information Organization and Databases, chapter 14, Kluwer, Boston-Dordrecht-London, (2000)
19 years ago by @grahl
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formal
data
concept
analysis
fca
conceptual
olap
formaldataconceptanalysisfcaconceptualolap
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2Computing in Conceptual Data systems with relational structures
G. Stumme, and K. Wolff. Proc. Intl. Conf. on Knowledge Retrieval, Use, and Storage for Efficiency, page 206-219. Vancouver, Canada, (August 1997)
19 years ago by @grahl
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analysis
concept
conceptual
data
database
fca
formal
information
relational
scaling
systems
analysisconceptconceptualdatadatabasefcaformalinformationrelationalscalingsystems
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2Computing in Conceptual Data systems with relational structures
G. Stumme, and K. Wolff. Proc. Intl. Symposium on Knowledge Retrieval, Use, and Storage for Efficiency, page 206-219. Vancouver, Canada, (August 1997)
19 years ago by @stumme
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relational
formal
databases
concept
lattices
analysis
fba
information
scaling
begriffsanalyse
myown
data
forschungsgruppe
systems
tu
ag1
1997
formale
conceptual
darmstadt
fca
relationalformaldatabasesconceptlatticesanalysisfbainformationscalingbegriffsanalysemyowndataforschungsgruppesystemstuag11997formaleconceptualdarmstadtfca
(0)
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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)
19 years ago by @stumme
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2005
OntologyHandbook
analysis
association
closed
concept
condensed
data
discovery
fca
formal
itegpub
itemset
kdd
knowledge
l3s
mining
myown
representations
rule
rules
sets
2005OntologyHandbookanalysisassociationclosedconceptcondenseddatadiscoveryfcaformalitegpubitemsetkddknowledgel3sminingmyownrepresentationsrulerulessets
(0)
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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)
19 years ago by @stumme
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frequent
formal
discovery
rules
concept
condensed
knowledge
association
2000
mining
kdd
itemsets
algorithm
analysis
myown
representations
data
closed
algorithms
fca
frequentformaldiscoveryrulesconceptcondensedknowledgeassociation2000miningkdditemsetsalgorithmanalysismyownrepresentationsdataclosedalgorithmsfca
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3Conceptual On-Line Analytical Processing
G. Stumme. Information Organization and Databases, chapter 14, Kluwer, Boston-Dordrecht-London, (2000)
19 years ago by @stumme
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formal
myown
data
concept
2000
analysis
fca
conceptual
olap
formalmyowndataconcept2000analysisfcaconceptualolap
(0)
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4Conceptual Knowledge Discovery with Frequent Concept Lattices
G. Stumme. FB4-Preprint 2043, TU Darmstadt, (1999)
19 years ago by @stumme
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frequent
discovery
formal
rules
concept
knowledge
condensed
association
iceberg
kdd
mining
itemsets
lattices
analysis
1999
rule
myown
representations
data
closed
fca
frequentdiscoveryformalrulesconceptknowledgecondensedassociationicebergkddminingitemsetslatticesanalysis1999rulemyownrepresentationsdataclosedfca
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publications (hide)19
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4A Repository for Formal Contexts

2MinerLSD: Efficient Local Pattern Mining on Attributed Graphs

6Attribute Exploration on the Web

6Attribute Exploration on the Web

6Attribute Exploration on the Web

6Attribute Exploration on the Web

4Mining Frequent Patterns with Counting Inference.

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

6Efficient Mining of Association Rules Based on Formal Concept Analysis

3Concept-Based Data Mining with Scaled Labeled Graphs.

4FooCA - Web Information Retrieval with Formal Concept Analysis

3Conceptual On-Line Analytical Processing

2Computing in Conceptual Data systems with relational structures

2Computing in Conceptual Data systems with relational structures

3Generating a Condensed Representation for Association Rules

3Levelwise Search of Frequent Patterns

3Conceptual On-Line Analytical Processing

4Conceptual Knowledge Discovery with Frequent Concept Lattices

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