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» Approximate Join Processing Over Data Streams
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124
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WWW
2008
ACM
16 years 3 months ago
Utility-driven load shedding for xml stream processing
Because of the high volume and unpredictable arrival rate, stream processing systems may not always be able to keep up with the input data streams-- resulting in buffer overflow a...
Mingzhu Wei, Elke A. Rundensteiner, Murali Mani
ICDM
2009
IEEE
167views Data Mining» more  ICDM 2009»
15 years 1 days ago
Self-Adaptive Anytime Stream Clustering
Clustering streaming data requires algorithms which are capable of updating clustering results for the incoming data. As data is constantly arriving, time for processing is limited...
Philipp Kranen, Ira Assent, Corinna Baldauf, Thoma...
ALGORITHMICA
2002
97views more  ALGORITHMICA 2002»
15 years 2 months ago
Testing and Spot-Checking of Data Streams
Abstract. We consider the tasks of testing and spot-checking for data streams. These testers and spotcheckers are potentially useful in real-time or near real-time applications tha...
Joan Feigenbaum, Sampath Kannan, Martin Strauss, M...
121
Voted
SAC
2006
ACM
15 years 8 months ago
Imprecise RDQL: towards generic retrieval in ontologies using similarity joins
Traditional semantic web query languages support a logicbased access to the semantic web. They offer a retrieval (or reasoning) of data based on facts. On the traditional web and...
Abraham Bernstein, Christoph Kiefer
165
Voted
EDBT
2009
ACM
165views Database» more  EDBT 2009»
15 years 2 days ago
Exploiting the power of relational databases for efficient stream processing
Stream applications gained significant popularity over the last years that lead to the development of specialized stream engines. These systems are designed from scratch with a di...
Erietta Liarou, Romulo Goncalves, Stratos Idreos