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» Aggregate Computation over Data Streams
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EDBT
2008
ACM
206views Database» more  EDBT 2008»
15 years 9 months ago
Designing an inductive data stream management system: the stream mill experience
There has been much recent interest in on-line data mining. Existing mining algorithms designed for stored data are either not applicable or not effective on data streams, where r...
Hetal Thakkar, Barzan Mozafari, Carlo Zaniolo
TKDE
2008
155views more  TKDE 2008»
14 years 9 months ago
Incremental Maintenance of Online Summaries Over Multiple Streams
We propose a novel approach based on predictive quantization (PQ) for online summarization of multiple time-varying data streams. A synopsis over a sliding window of most recent en...
Fatih Altiparmak, Ertem Tuncel, Hakan Ferhatosmano...
ICDE
2001
IEEE
115views Database» more  ICDE 2001»
15 years 10 months ago
Incremental Computation and Maintenance of Temporal Aggregates
We consider the problems of computing aggregation queries in temporal databases, and of maintaining materialized temporal aggregate views efficiently. The latter problem is partic...
Jun Yang 0001, Jennifer Widom
EWSN
2009
Springer
15 years 10 months ago
MVSink: Incrementally Building In-Network Aggregation Trees
Abstract. In-network data aggregation is widely recognized as an acceptable means to reduce the amount of transmitted data without adversely affecting the quality of the results. T...
Leonardo L. Fernandes, Amy L. Murphy
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...