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EDBT
2011
ACM
209views Database» more  EDBT 2011»
13 years 3 days ago
An optimal strategy for monitoring top-k queries in streaming windows
Continuous top-k queries, which report a certain number (k) of top preferred objects from data streams, are important for a broad class of real-time applications, ranging from fi...
Di Yang, Avani Shastri, Elke A. Rundensteiner, Mat...
KDD
2009
ACM
224views Data Mining» more  KDD 2009»
14 years 1 months ago
Issues in evaluation of stream learning algorithms
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
João Gama, Raquel Sebastião, Pedro P...
ICDE
2006
IEEE
285views Database» more  ICDE 2006»
14 years 10 months ago
An Approach to Adaptive Memory Management in Data Stream Systems
Adaptivity is a challenging open issue in data stream management. In this paper, we tackle the problem of memory adaptivity inside a system executing temporal sliding window queri...
Bernhard Seeger, Jürgen Krämer, Michael ...
SIGMOD
2003
ACM
171views Database» more  SIGMOD 2003»
14 years 8 months ago
Adaptive Filters for Continuous Queries over Distributed Data Streams
We consider an environment where distributed data sources continuously stream updates to a centralized processor that monitors continuous queries over the distributed data. Signif...
Chris Olston, Jing Jiang, Jennifer Widom
INFFUS
2008
175views more  INFFUS 2008»
13 years 8 months ago
Adaptive optimization of join trees for multi-join queries over sensor streams
Data processing applications for sensor streams have to deal with multiple continuous data streams with inputs arriving at highly variable and unpredictable rates from various sour...
Joseph S. Gomes, Hyeong-Ah Choi