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» Data Modelling in Complex Application Domains
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PKDD
2009
Springer
118views Data Mining» more  PKDD 2009»
15 years 10 months ago
The Feature Importance Ranking Measure
Most accurate predictions are typically obtained by learning machines with complex feature spaces (as e.g. induced by kernels). Unfortunately, such decision rules are hardly access...
Alexander Zien, Nicole Krämer, Sören Son...
132
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AAAI
2007
15 years 5 months ago
DL-Lite in the Light of First-Order Logic
The use of ontologies in various application domains, such as Data Integration, the Semantic Web, or ontology-based data management, where ontologies provide the access to large a...
Alessandro Artale, Diego Calvanese, Roman Kontchak...
140
Voted
SEBD
2007
121views Database» more  SEBD 2007»
15 years 5 months ago
Query Answering in Expressive Variants of DL-Lite
The use of ontologies in various application domains, such as Data Integration, the Semantic Web, or ontology-based data management, where ontologies provide the access to large am...
Alessandro Artale, Diego Calvanese, Roman Kontchak...
152
Voted
ICDCSW
2002
IEEE
15 years 8 months ago
Real-Time Processing of Media Streams: A Case for Event-Based Interaction
There are many challenges in devising solutions for online content processing of live networked multimedia sessions. These include the computational complexity of feature extracti...
Viktor S. Wold Eide, Frank Eliassen, Olav Lysne, O...
127
Voted
FOIS
2008
15 years 5 months ago
SKIing with DOLCE: toward an e-Science Knowledge Infrastructure
: An ontology of general science knowledge (SKIo) is developed to enhance machine representation and use of scientific theories in emerging e-Science Knowledge Infrastructures. SKI...
Boyan Brodaric, Femke Reitsma, Yi Qiang