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1A planetary nervous system for social mining and collective awareness | SpringerLink
http://link.springer.com/article/10.1140/epjst/e2012-01688-9
9 years ago by @stumme
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sensing
sensors
social
mining
data
discovery
sensor
analysis
human
knowledge
information
sensingsensorssocialminingdatadiscoverysensoranalysishumanknowledgeinformation
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26Gephi, an open source graph visualization and manipulation software
http://gephi.org/
15 years ago by @atzmueller
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visualizatiohn
mining
data
discovery
analysis
knowledge
graph
visualizatiohnminingdatadiscoveryanalysisknowledgegraph
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1Jetty + Jersey: RESTful Web services made easy - wikis.sun.com
embedded jetty + jersey
16 years ago by @atzmueller
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rest
data
jetty
jersey
knowledge
restdatajettyjerseyknowledge
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6Gerd Stumme
http://www.kde.cs.uni-kassel.de/stumme
19 years ago by @stumme
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myown
stumme
data
chair
engineering
kde
universität
wissensverarbeitung
myhomepage
and
Hertie
knowledge
kassel
myownstummedatachairengineeringkdeuniversitätwissensverarbeitungmyhomepageandHertieknowledgekassel
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4Christoph Schmitz
http://www.kde.cs.uni-kassel.de/schmitz
20 years ago by @stumme
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schmitz
wissensverarbeitung
data
and
chair
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kde
Hertie
knowledge
universität
kassel
schmitzwissensverarbeitungdataandchairengineeringkdeHertieknowledgeuniversitätkassel
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7FG Wissensverarbeitung/Knowledge and Data Engineering
http://www.kde.cs.uni-kassel.de/jaeschke
20 years ago by @stumme
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wissensverarbeitung
jaeschke
data
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kde
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knowledge
universität
jäschke
kassel
wissensverarbeitungjaeschkedataandchairengineeringkdeHertieknowledgeuniversitätjäschkekassel
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9Andreas Hotho, KDE Group, University of Kassel
http://www.kde.cs.uni-kassel.de/hotho
20 years ago by @stumme
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wissensverarbeitung
data
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universität
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1Silke Finis
http://www.kde.cs.uni-kassel.de/finis
20 years ago by @stumme
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wissensverarbeitung
data
and
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engineering
finis
kde
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knowledge
universität
kassel
wissensverarbeitungdataandchairengineeringfiniskdeHertieknowledgeuniversitätkassel
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15Fachgebiet Wissensverarbeitung
http://www.kde.cs.uni-kassel.de/
20 years ago by @stumme
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wissensverarbeitung
data
and
chair
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kde
Hertie
knowledge
universität
kassel
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3Navigability of Complex Networks
M. Boguna, D. Krioukov, and kc claffy. Nature, (2007)cite arxiv:0709.0303.
15 years ago by @atzmueller
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mining
data
discovery
MUSTREAD
knowledge
networks
theory
miningdatadiscoveryMUSTREADknowledgenetworkstheory
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33Maximum Likelihood from Incomplete Data via the EM Algorithm
A. Dempster, N. Laird, and D. Rubin. Journal of the Royal Statistical Society. Series B (Methodological), 39 (1): pp. 1-38 (1977)
15 years ago by @atzmueller
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mining
clustering
data
em
discovery
knowledge
miningclusteringdataemdiscoveryknowledge
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2Finding Overlapping Communities Using Disjoint Community Detection Algorithms
S. Gregory. Complex Networks, volume 207 of Studies in Computational Intelligence, Springer, Berlin / Heidelberg, (2009)
15 years ago by @atzmueller
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data
discovery
knowledge
community
datadiscoveryknowledgecommunity
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5Detecting the overlapping and hierarchical community structure of complex networks
A. Lancichinetti, S. Fortunato, and J. Kertesz. (2008)cite arxiv:0802.1218 Comment: 20 pages, 8 figures. Final version published on New Journal of Physics.
15 years ago by @atzmueller
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mining
hierarchical
data
overlapping
discovery
detecting
knowledge
community
structure
mininghierarchicaldataoverlappingdiscoverydetectingknowledgecommunitystructure
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3Benchmarks for testing community detection algorithms on directed and weighted graphs with overlapping communities
A. Lancichinetti, and S. Fortunato. Phys. Rev. E, 80 (1): 016118 (July 2009)
15 years ago by @atzmueller
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detection
mining
data
testing
benchmarks
discovery
knowledge
detectionminingdatatestingbenchmarksdiscoveryknowledge
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5Benchmark graphs for testing community detection algorithms
A. Lancichinetti, S. Fortunato, and F. Radicchi. Phys. Rev. E, 78 (4): 046110 (October 2008)
15 years ago by @atzmueller
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detection
graphs
mining
data
testing
discovery
knowledge
community
benchmark
detectiongraphsminingdatatestingdiscoveryknowledgecommunitybenchmark
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1A game-theoretic framework to identify overlapping communities in social networks
W. Chen, Z. Liu, X. Sun, and Y. Wang. Data Min. Knowl. Discov., 21 (2): 224--240 (2010)
15 years ago by @atzmueller
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venus
detection
sna
mining
data
discovery
knowledge
community
venusdetectionsnaminingdatadiscoveryknowledgecommunity
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2TFP: An Efficient Algorithm for Mining Top-K Frequent Closed Itemsets.
J. Wang, J. Han, Y. Lu, and P. Tzvetkov. IEEE Trans. Knowl. Data Eng., 17 (5): 652-664 (2005)
15 years ago by @atzmueller
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mining
sets
data
discovery
knowledge
closed
miningsetsdatadiscoveryknowledgeclosed
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8Empirical comparison of algorithms for network community detection
J. Leskovec, K. Lang, and M. Mahoney. WWW '10: Proceedings of the 19th international conference on World wide web, page 631--640. New York, NY, USA, ACM, (2010)
15 years ago by @atzmueller
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detection
mining
algorithms
data
discovery
knowledge
community
detectionminingalgorithmsdatadiscoveryknowledgecommunity
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2Extending the definition of modularity to directed graphs with overlapping communities
V. Nicosia, G. Mangioni, V. Carchiolo, and M. Malgeri. J. Stat. Mech., (2009)
15 years ago by @atzmueller
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mining
data
discovery
knowledge
community
miningdatadiscoveryknowledgecommunity
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2Ready for the MACE? The Mining and Analysis Continuum of Explaining Uncovered
M. Atzmueller, and T. Roth-Berghofer. RR-10-02. Deutsches Forschungszentrum für Künstliche Intelligenz, (2010)
15 years ago by @atzmueller
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myown
design
mining
data
discovery
2010
knowledge
explanation-aware
itegpub
myowndesignminingdatadiscovery2010knowledgeexplanation-awareitegpub
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3Towards Explanation-Aware Social Software: Applying the Mining and Analysis Continuum of Explaining
M. Atzmueller, and T. Roth-Berghofer. Proc. Workshop on Explanation-aware Computing ExaCt 2010 @ ECAI 2010, (2010)
15 years ago by @atzmueller
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myown
social
mining
software
data
discovery
2010
knowledge
explanation-aware
itegpub
myownsocialminingsoftwaredatadiscovery2010knowledgeexplanation-awareitegpub
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3The Mining and Analysis Continuum of Explaining Uncovered
M. Atzmueller, and T. Roth-Berghofer. Proc. 30th SGAI International Conference on Artificial Intelligence (AI-2010), (2010)
15 years ago by @atzmueller
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myown
mining
data
discovery
2010
knowledge
explanation-aware
itegpub
myownminingdatadiscovery2010knowledgeexplanation-awareitegpub
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4A Data Warehouse-Based Approach for Quality Management, Evaluation and Analysis of Intelligent Systems using Subgroup Mining
M. Atzmueller, S. Beer, and F. Puppe. Proc. 22nd International Florida Artificial Intelligence Research Society Conference (FLAIRS), accepted, page 372-377. AAAI Press, (2009)
16 years ago by @atzmueller
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2009
semantic
analytics
management
mining
visual
data
discovery
knowledge
experience
2009semanticanalyticsmanagementminingvisualdatadiscoveryknowledgeexperience
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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)
17 years ago by @stumme
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myown
FCA
fca
data
concept
association
condensed
discovery
2000
frequent
kdd
rules
representation
rule
representations
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)
17 years ago by @stumme
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myown
fca
data
concept
association
condensed
discovery
2000
frequent
kdd
rules
representation
rule
representations
analys
formal
mining
knowledge
closed
itemsets
myownfcadataconceptassociationcondenseddiscovery2000frequentkddrulesrepresentationrulerepresentationsanalysformalminingknowledgecloseditemsets
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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)
17 years ago by @stumme
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myown
fca
data
association
condensed
2002
discovery
kdd
rules
representations
mining
knowledge
closed
itemsets
myownfcadataassociationcondensed2002discoverykddrulesrepresentationsminingknowledgecloseditemsets
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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)
17 years ago by @stumme
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myown
fca
book
data
concept
association
condensed
discovery
l3s
kdd
rules
analysis
representations
itegpub
formal
mining
2005
knowledge
closed
itemsets
myownfcabookdataconceptassociationcondenseddiscoveryl3skddrulesanalysisrepresentationsitegpubformalmining2005knowledgecloseditemsets
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1VIKAMINE: http://www.vikamine.org
?. (2005)
17 years ago by @atzmueller
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myown
semantic
vikamine
analytics
management
mining
visual
data
discovery
knowledge
experience
myownsemanticvikamineanalyticsmanagementminingvisualdatadiscoveryknowledgeexperience
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3Subgroup Mining for Interactive Knowledge Refinement
M. Atzmueller, J. Baumeister, A. Hemsing, E. Richter, and F. Puppe. Proc. 10th Conference on Artificial Intelligence in Medicine (AIME 05), page 453--462. (2005)
17 years ago by @atzmueller
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myown
semantic
vikamine
visual
data
discovery
experience
analytics
mining
management
2005
refinement
knowledge
myownsemanticvikaminevisualdatadiscoveryexperienceanalyticsminingmanagement2005refinementknowledge
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BibSonomy

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1A planetary nervous system for social mining and collective awareness | SpringerLink

26Gephi, an open source graph visualization and manipulation software

1Jetty + Jersey: RESTful Web services made easy - wikis.sun.com

6Gerd Stumme

4Christoph Schmitz

7FG Wissensverarbeitung/Knowledge and Data Engineering

9Andreas Hotho, KDE Group, University of Kassel

1Silke Finis

15Fachgebiet Wissensverarbeitung

publications (hide)87
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3Navigability of Complex Networks

33Maximum Likelihood from Incomplete Data via the EM Algorithm

2Finding Overlapping Communities Using Disjoint Community Detection Algorithms

5Detecting the overlapping and hierarchical community structure of complex networks

3Benchmarks for testing community detection algorithms on directed and weighted graphs with overlapping communities

5Benchmark graphs for testing community detection algorithms

1A game-theoretic framework to identify overlapping communities in social networks

2TFP: An Efficient Algorithm for Mining Top-K Frequent Closed Itemsets.

8Empirical comparison of algorithms for network community detection

2Extending the definition of modularity to directed graphs with overlapping communities

2Ready for the MACE? The Mining and Analysis Continuum of Explaining Uncovered

3Towards Explanation-Aware Social Software: Applying the Mining and Analysis Continuum of Explaining

3The Mining and Analysis Continuum of Explaining Uncovered

4A Data Warehouse-Based Approach for Quality Management, Evaluation and Analysis of Intelligent Systems using Subgroup Mining

4Mining Frequent Patterns with Counting Inference.

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

7Efficient Data Mining Based on Formal Concept Analysis

6Efficient Mining of Association Rules Based on Formal Concept Analysis

1VIKAMINE: http://www.vikamine.org

3Subgroup Mining for Interactive Knowledge Refinement

Wissenschaftliches Zentrum für Informationstechnik-Gestaltung (ITeG), Universität Kassel

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Wissenschaftliches Zentrum für Informationstechnik-Gestaltung (ITeG), Universität Kassel

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