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» Maintaining Stream Statistics over Sliding Windows
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SIGMOD
2003
ACM
161views Database» more  SIGMOD 2003»
16 years 17 days ago
Approximate Join Processing Over Data Streams
We consider the problem of approximating sliding window joins over data streams in a data stream processing system with limited resources. In our model, we deal with resource cons...
Abhinandan Das, Johannes Gehrke, Mirek Riedewald
KDD
2003
ACM
192views Data Mining» more  KDD 2003»
16 years 25 days ago
Efficient elastic burst detection in data streams
Burst detection is the activity of finding abnormal aggregates in data streams. Such aggregates are based on sliding windows over data streams. In some applications, we want to mo...
Yunyue Zhu, Dennis Shasha
140
Voted
SSDBM
2003
IEEE
196views Database» more  SSDBM 2003»
15 years 5 months ago
Stream Window Join: Tracking Moving Objects in Sensor-Network Databases
The widespread use of sensor networks presents revolutionary opportunities for life and environmental science applications. Many of these applications involve continuous queries t...
Moustafa A. Hammad, Walid G. Aref, Ahmed K. Elmaga...
EDBT
2011
ACM
209views Database» more  EDBT 2011»
14 years 3 months 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...
116
Voted
SDM
2009
SIAM
164views Data Mining» more  SDM 2009»
15 years 9 months ago
Time-Decayed Correlated Aggregates over Data Streams.
Data stream analysis frequently relies on identifying correlations and posing conditional queries on the data after it has been seen. Correlated aggregates form an important examp...
Graham Cormode, Srikanta Tirthapura, Bojian Xu