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2A Methodological View on Knowledge-Intensive Subgroup Discovery
M. Atzmueller, and F. Puppe. Proc. 15th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2006), 4248, page 318--325. (2006)
9 years ago by @uniwue_info6
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myown
semantic
subgroup
2006
mining
data
discovery
myownsemanticsubgroup2006miningdatadiscovery
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2A Methodological View on Knowledge-Intensive Subgroup Discovery
M. Atzmueller, and F. Puppe. Proc. 15th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2006), 4248, page 318--325. (2006)
16 years ago by @atzmueller
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myown
semantic
subgroup
2006
mining
data
discovery
myownsemanticsubgroup2006miningdatadiscovery
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2A Semi-Automatic Approach for Confounding-Aware Subgroup Discovery
M. Atzmueller, F. Puppe, and H. Buscher. International Journal on Artificial Intelligence Tools (IJAIT), 18 (1): 1 -- 18 (2009)
9 years ago by @uniwue_info6
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2009
myown
semantic
analytics
management
mining
visual
data
discovery
knowledge
experience
2009myownsemanticanalyticsmanagementminingvisualdatadiscoveryknowledgeexperience
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2A Semi-Automatic Approach for Confounding-Aware Subgroup Discovery
M. Atzmueller, F. Puppe, and H. Buscher. International Journal on Artificial Intelligence Tools (IJAIT), 18 (1): 1 -- 18 (2009)
16 years ago by @atzmueller
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2009
myown
semantic
analytics
management
mining
visual
data
discovery
knowledge
experience
2009myownsemanticanalyticsmanagementminingvisualdatadiscoveryknowledgeexperience
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3A Textual Subgroup Mining Approach for Rapid ARD+ Model Capture
M. Atzmueller, and G. Nalepa. Proc. 22nd International Florida Artificial Intelligence Research Society Conference (FLAIRS), accepted, (2009)
9 years ago by @uniwue_info6
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2009
myown
semantic
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management
mining
visual
data
discovery
knowledge
experience
2009myownsemanticanalyticsmanagementminingvisualdatadiscoveryknowledgeexperience
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3A Textual Subgroup Mining Approach for Rapid ARD+ Model Capture
M. Atzmueller, and G. Nalepa. Proc. 22nd International Florida Artificial Intelligence Research Society Conference (FLAIRS), (2009)
16 years ago by @atzmueller
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2009
myown
semantic
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management
mining
visual
data
discovery
knowledge
experience
2009myownsemanticanalyticsmanagementminingvisualdatadiscoveryknowledgeexperience
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2An Extensible Architecture for Wiki-Enabled Semantic Data Mining
M. Atzmueller, F. Lemmerich, J. Reutelshoefer, and F. Puppe. Technical Report, 463, University of Wuerzburg, (2009)
14 years ago by @atzmueller
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2009
myown
semantic
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data
wiki
discovery
extensible
knowledge
architecture
2009myownsemanticminingdatawikidiscoveryextensibleknowledgearchitecture
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2An Extensible Architecture for Wiki-Enabled Semantic Data Mining
M. Atzmueller, F. Lemmerich, J. Reutelshoefer, and F. Puppe. Technical Report, 463, University of Wuerzburg, (2009)
9 years ago by @uniwue_info6
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2009
myown
semantic
mining
data
wiki
discovery
extensible
knowledge
architecture
2009myownsemanticminingdatawikidiscoveryextensibleknowledgearchitecture
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6Bridging the Gap--Data Mining and Social Network Analysis for Integrating Semantic Web and Web 2.0
B. Berendt, A. Hotho, and G. Stumme. Web Semantics: Science, Services and Agents on the World Wide Web, 8 (2-3): 95 - 96 (2010)Bridging the Gap--Data Mining and Social Network Analysis for Integrating Semantic Web and Web 2.0; The Future of Knowledge Dissemination: The Elsevier Grand Challenge for the Life Sciences.
15 years ago by @hotho
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semantic
web
social
mining
data
2010
network
introduction
myownsemanticwebsocialminingdata2010networkintroduction
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6Bridging the Gap--Data Mining and Social Network Analysis for Integrating Semantic Web and Web 2.0
B. Berendt, A. Hotho, and G. Stumme. Web Semantics: Science, Services and Agents on the World Wide Web, 8 (2-3): 95 - 96 (2010)Bridging the Gap--Data Mining and Social Network Analysis for Integrating Semantic Web and Web 2.0; The Future of Knowledge Dissemination: The Elsevier Grand Challenge for the Life Sciences.
14 years ago by @stumme
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myown
semantic
web
social
mining
data
l3s
2010
unik
network
introduction
itegpub
myownsemanticwebsocialminingdatal3s2010uniknetworkintroductionitegpub
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6Bridging the Gap--Data Mining and Social Network Analysis for Integrating Semantic Web and Web 2.0
B. Berendt, A. Hotho, and G. Stumme. Web Semantics: Science, Services and Agents on the World Wide Web, 8 (2-3): 95 - 96 (2010)Bridging the Gap--Data Mining and Social Network Analysis for Integrating Semantic Web and Web 2.0; The Future of Knowledge Dissemination: The Elsevier Grand Challenge for the Life Sciences.
9 years ago by @dmir
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semantic
web
social
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2010
network
introduction
from:hotho
myownsemanticwebsocialminingdata2010networkintroductionfrom:hotho
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6Bridging the Gap--Data Mining and Social Network Analysis for Integrating Semantic Web and Web 2.0
B. Berendt, A. Hotho, and G. Stumme. Web Semantics: Science, Services and Agents on the World Wide Web, 8 (2-3): 95 - 96 (2010)Bridging the Gap--Data Mining and Social Network Analysis for Integrating Semantic Web and Web 2.0; The Future of Knowledge Dissemination: The Elsevier Grand Challenge for the Life Sciences.
9 years ago by @kde-alumni
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myown
semantic
web
social
mining
data
2010
network
introduction
myownsemanticwebsocialminingdata2010networkintroduction
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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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myown
semantic
web
mining
data
2003
kdd
ontologies
myownsemanticwebminingdata2003kddontologies
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3Case-Based Approaches for Diagnosing Multiple Disorders
M. Atzmueller, W. Shi, J. Baumeister, F. Puppe, and J. Barnden. Proc. 17th Intl. Florida Artificial Intelligence Research Society Conference 2004 (FLAIRS-2004), page 154--159. AAAI Press, (2004)
9 years ago by @uniwue_info6
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myown
semantic
vikamine
reasoning
visual
data
diagnosis
discovery
experience
analytics
mining
management
2004
case-based
refinement
knowledge
myownsemanticvikaminereasoningvisualdatadiagnosisdiscoveryexperienceanalyticsminingmanagement2004case-basedrefinementknowledge
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3Case-Based Approaches for Diagnosing Multiple Disorders
M. Atzmueller, W. Shi, J. Baumeister, F. Puppe, and J. Barnden. Proc. 17th Intl. Florida Artificial Intelligence Research Society Conference 2004 (FLAIRS-2004), page 154--159. AAAI Press, (2004)
16 years ago by @atzmueller
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myown
semantic
vikamine
reasoning
visual
data
diagnosis
discovery
experience
analytics
mining
management
2004
case-based
refinement
knowledge
myownsemanticvikaminereasoningvisualdatadiagnosisdiscoveryexperienceanalyticsminingmanagement2004case-basedrefinementknowledge
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2Causal Subgroup Analysis for Detecting Confounding (Extended version)
M. Atzmueller, and F. Puppe. Proc. 18th International Conference on Applications of Declarative Programming and Knowledge Management, (2008)
9 years ago by @uniwue_info6
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myown
2008
semantic
analytics
management
mining
visual
data
discovery
knowledge
experience
myown2008semanticanalyticsmanagementminingvisualdatadiscoveryknowledgeexperience
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2Causal Subgroup Analysis for Detecting Confounding (Extended version)
M. Atzmueller, and F. Puppe. Proc. 18th International Conference on Applications of Declarative Programming and Knowledge Management, (2008)
14 years ago by @atzmueller
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myown
2008
semantic
analytics
management
mining
visual
data
discovery
knowledge
experience
myown2008semanticanalyticsmanagementminingvisualdatadiscoveryknowledgeexperience
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3Clinical Experiences with a Knowledge-Based System in Sonography (SonoConsult)
F. Puppe, G. Buscher, M. Atzmueller, M. Huettig, and H. Buscher. Professional Knowledge Management, 3782, page 319–-329. (2005)
16 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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3Clinical Experiences with a Knowledge-Based System in Sonography (SonoConsult)
F. Puppe, G. Buscher, M. Atzmueller, M. Huettig, and H. Buscher. Professional Knowledge Management, 3782, page 319–-329. (2005)
9 years ago by @uniwue_info6
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myown
semantic
vikamine
visual
data
discovery
experience
analytics
mining
management
2005
refinement
knowledge
myownsemanticvikaminevisualdatadiscoveryexperienceanalyticsminingmanagement2005refinementknowledge
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4Combining Data-Driven and Semantic Approaches for Text Mining.
S. Bloehdorn, S. Blohm, P. Cimiano, E. Giesbrecht, A. Hotho, U. Lösch, A. Mädche, E. Mönch, P. Sorg, S. Staab and 1 other author(s). Foundations for the Web of Information and Services, page 115-142. Springer, (2011)
13 years ago by @hotho
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myown
semantic
mining
data
2011
text
myownsemanticminingdata2011text
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publications (hide)55
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2A Methodological View on Knowledge-Intensive Subgroup Discovery

2A Methodological View on Knowledge-Intensive Subgroup Discovery

2A Semi-Automatic Approach for Confounding-Aware Subgroup Discovery

2A Semi-Automatic Approach for Confounding-Aware Subgroup Discovery

3A Textual Subgroup Mining Approach for Rapid ARD+ Model Capture

3A Textual Subgroup Mining Approach for Rapid ARD+ Model Capture

2An Extensible Architecture for Wiki-Enabled Semantic Data Mining

2An Extensible Architecture for Wiki-Enabled Semantic Data Mining

6Bridging the Gap--Data Mining and Social Network Analysis for Integrating Semantic Web and Web 2.0

6Bridging the Gap--Data Mining and Social Network Analysis for Integrating Semantic Web and Web 2.0

6Bridging the Gap--Data Mining and Social Network Analysis for Integrating Semantic Web and Web 2.0

6Bridging the Gap--Data Mining and Social Network Analysis for Integrating Semantic Web and Web 2.0

8Building and Using the Semantic Web

3Case-Based Approaches for Diagnosing Multiple Disorders

3Case-Based Approaches for Diagnosing Multiple Disorders

2Causal Subgroup Analysis for Detecting Confounding (Extended version)

2Causal Subgroup Analysis for Detecting Confounding (Extended version)

3Clinical Experiences with a Knowledge-Based System in Sonography (SonoConsult)

3Clinical Experiences with a Knowledge-Based System in Sonography (SonoConsult)

4Combining Data-Driven and Semantic Approaches for Text Mining.

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