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» Streaming SPARQL - Extending SPARQL to Process Data Streams
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ASC
2011
14 years 4 months ago
Handling drifts and shifts in on-line data streams with evolving fuzzy systems
In this paper, we present new approaches to handling drift and shift in on-line data streams with the help of evolving fuzzy systems (EFS), which are characterized by the fact tha...
Edwin Lughofer, Plamen P. Angelov
BTW
2005
Springer
104views Database» more  BTW 2005»
15 years 3 months ago
Maintaining Nonparametric Estimators over Data Streams
Abstract: An effective processing and analysis of data streams is of utmost importance for a plethora of emerging applications like network monitoring, traffic management, and fi...
Björn Blohsfeld, Christoph Heinz, Bernhard Se...
BTW
2005
Springer
127views Database» more  BTW 2005»
14 years 11 months ago
Towards Reliable Data Stream Processing with OSIRIS-SE
: Recent advances in sensor technologies, wireless communication, powerful mobile devices, and wearable computers strongly support novel types of applications. Especially in health...
Gert Brettlecker, Heiko Schuldt, Hans-Jörg Sc...
ACIIDS
2009
IEEE
144views Database» more  ACIIDS 2009»
15 years 2 months ago
Processing Exact Results for Sliding Window Joins over Time-Sequence, Streaming Data Using a Disk Archive
— We consider the problem of processing exact results for sliding window joins over data streams with limited memory. Existing approaches deal with memory limitations by shedding...
Abhirup Chakraborty, Ajit Singh
IPPS
2009
IEEE
15 years 4 months ago
Elastic scaling of data parallel operators in stream processing
We describe an approach to elastically scale the performance of a data analytics operator that is part of a streaming application. Our techniques focus on dynamically adjusting th...
Scott Schneider, Henrique Andrade, Bugra Gedik, Al...