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PODS
2003
ACM
143views Database» more  PODS 2003»
14 years 8 months ago
Maintaining variance and k-medians over data stream windows
The sliding window model is useful for discounting stale data in data stream applications. In this model, data elements arrive continually and only the most recent N elements are ...
Brian Babcock, Mayur Datar, Rajeev Motwani, Liadan...
SSDBM
2005
IEEE
140views Database» more  SSDBM 2005»
14 years 2 months ago
Optimizing In-Order Execution of Continuous Queries over Streamed Sensor Data
The widespread use of sensor networks in scientific and engineering applications leads to increased demand on the efficient computation of the collected sensor data. Recent rese...
Moustafa A. Hammad, Walid G. Aref, Ahmed K. Elmaga...
ICDE
2008
IEEE
192views Database» more  ICDE 2008»
14 years 10 months ago
Verifying and Mining Frequent Patterns from Large Windows over Data Streams
Mining frequent itemsets from data streams has proved to be very difficult because of computational complexity and the need for real-time response. In this paper, we introduce a no...
Barzan Mozafari, Hetal Thakkar, Carlo Zaniolo
SSDBM
2003
IEEE
196views Database» more  SSDBM 2003»
14 years 1 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...
CIKM
2004
Springer
14 years 2 months ago
Evaluating window joins over punctuated streams
We explore join optimizations in the presence of both timebased constraints (sliding windows) and value-based constraints (punctuations). We present the first join solution named...
Luping Ding, Elke A. Rundensteiner