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» Fusing Approximate Knowledge from Distributed Sources
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IPPS
2005
IEEE
13 years 11 months ago
A Parallel Algorithm for Correlating Event Streams
This paper describes a parallel algorithm for correlating or “fusing” streams of data from sensors and other sources of information. The algorithm is useful for applications w...
Daniel M. Zimmerman, K. Mani Chandy
ICDE
2008
IEEE
166views Database» more  ICDE 2008»
14 years 7 months ago
A Clustered Index Approach to Distributed XPath Processing
Supporting top-k queries over distributed collections of schemaless XML data poses two challenges. While XML supports expressive query languages such as XPath and XQuery, these la...
Georgia Koloniari, Evaggelia Pitoura
CORR
2006
Springer
127views Education» more  CORR 2006»
13 years 5 months ago
Approximating Rate-Distortion Graphs of Individual Data: Experiments in Lossy Compression and Denoising
Classical rate-distortion theory requires knowledge of an elusive source distribution. Instead, we analyze rate-distortion properties of individual objects using the recently devel...
Steven de Rooij, Paul M. B. Vitányi
MLMI
2005
Springer
13 years 11 months ago
Improving the Performance of Acoustic Event Classification by Selecting and Combining Information Sources Using the Fuzzy Integr
Acoustic events produced in meeting-room-like environments may carry information useful for perceptually aware interfaces. In this paper, we focus on the problem of combining diffe...
Andrey Temko, Dusan Macho, Climent Nadeu
DEXAW
2005
IEEE
132views Database» more  DEXAW 2005»
13 years 11 months ago
Information Integration from Semantically Heterogeneous Biological Data Sources
We present the first prototype of INDUS (Intelligent Data Understanding System), a federated, query-centric system for information integration and knowledge acquisition from dist...
Doina Caragea, Jie Bao, Jyotishman Pathak, Adrian ...