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» Describing Semistructured Data
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KDD
2003
ACM
195views Data Mining» more  KDD 2003»
16 years 7 months ago
Visualizing changes in the structure of data for exploratory feature selection
Using visualization techniques to explore and understand high-dimensional data is an efficient way to combine human intelligence with the immense brute force computation power ava...
Elias Pampalk, Werner Goebl, Gerhard Widmer
ASWC
2009
Springer
16 years 1 months ago
Supporting the Development of Data Wrapping Ontologies
Abstract. We consider the problem of designing data wrapping ontologies whose purpose is to describe relational data sources and to provide a semantically enriched access to the un...
Lina Lubyte, Sergio Tessaris
SSDBM
2007
IEEE
172views Database» more  SSDBM 2007»
16 years 24 days ago
Enabling Real-Time Querying of Live and Historical Stream Data
Applications that query data streams in order to identify trends, patterns, or anomalies can often benefit from comparing the live stream data with archived historical stream dat...
Frederick Reiss, Kurt Stockinger, Kesheng Wu, Arie...
ARCS
2004
Springer
15 years 12 months ago
Heterogenous Data Fusion via a Probabilistic Latent-Variable Model
In a pervasive computing environment, one is facing the problem of handling heterogeneous data from different sources, transmitted over heterogeneous channels and presented on het...
Kai Yu, Volker Tresp
ESCIENCE
2006
IEEE
15 years 10 months ago
Grid-Based Data Stream Processing in e-Science
The field of e-science currently faces many challenges. Among the most important ones are the analysis of huge volumes of scientific data and the connection of various sciences an...
Richard Kuntschke, Tobias Scholl, Sebastian Huber,...