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» Distributed stream join query processing with semijoins
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Publication
344views
13 years 7 months ago
Top-k Similarity Join over Multi-valued Objects
The top-k similarity joins have been extensively studied and used in a wide spectrum of applications such as information retrieval, decision making, spatial data analysis and dat...
Wenjie Zhang, Jing Xu, Xin Liang, Ying Zhang, Xuem...
SUTC
2010
IEEE
14 years 8 months ago
Effective Metadata Management in Federated Sensor Networks
—As sensor networks become increasingly popular, heterogeneous sensor networks are being interconnected into federated sensor networks and provide huge volumes of sensor data to ...
Hoyoung Jeung, Sofiane Sarni, Ioannis Paparrizos, ...
CLOUD
2010
ACM
15 years 2 months ago
Comet: batched stream processing for data intensive distributed computing
Batched stream processing is a new distributed data processing paradigm that models recurring batch computations on incrementally bulk-appended data streams. The model is inspired...
Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, B...
SIGMOD
2004
ACM
164views Database» more  SIGMOD 2004»
15 years 9 months ago
Dynamic Plan Migration for Continuous Queries Over Data Streams
Dynamic plan migration is concerned with the on-the-fly transition from one continuous query plan to a semantically equivalent yet more efficient plan. Migration is important for ...
Yali Zhu, Elke A. Rundensteiner, George T. Heinema...
DEBS
2007
ACM
15 years 1 months ago
Temporal order optimizations of incremental joins for composite event detection
Queries for composite events typically involve the four complementary dimensions of event data, event composition, relationships between events (esp. temporal and causal), and acc...
François Bry, Michael Eckert