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» Time-Decayed Correlated Aggregates over Data Streams.
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BTW
2011
Springer
218views Database» more  BTW 2011»
14 years 1 months ago
Tracking Hot-k Items over Web 2.0 Streams
Abstract: The rise of the Web 2.0 has made content publishing easier than ever. Yesterday’s passive consumers are now active users who generate and contribute new data to the web...
Parisa Haghani, Sebastian Michel, Karl Aberer
ICDE
2008
IEEE
122views Database» more  ICDE 2008»
15 years 10 months ago
Exponentially Decayed Aggregates on Data Streams
In a massive stream of sequential events such as stock feeds, sensor readings, or IP traffic measurements, tuples pertaining to recent events are typically more important than olde...
Graham Cormode, Flip Korn, Srikanta Tirthapura
SSDBM
2003
IEEE
196views Database» more  SSDBM 2003»
15 years 2 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
2004
ACM
174views Database» more  EDBT 2004»
15 years 9 months ago
Processing Data-Stream Join Aggregates Using Skimmed Sketches
There is a growing interest in on-line algorithms for analyzing and querying data streams, that examine each stream element only once and have at their disposal, only a limited amo...
Sumit Ganguly, Minos N. Garofalakis, Rajeev Rastog...
156
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DC
2008
14 years 9 months ago
Sketching asynchronous data streams over sliding windows
We study the problem of maintaining a sketch of recent elements of a data stream. Motivated by applications involving network data, we consider streams that are asynchronous, in wh...
Bojian Xu, Srikanta Tirthapura, Costas Busch