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Sketching distributed sliding-window data streams
While traditional data management systems focus on evaluating single, ad hoc queries over static data sets in a centralized setting, several emerging applications require (possibly, continuous) answers to queries on dynamic data that is widely ...
Space-efficient tracking of persistent items in a massive data stream
Motivated by scenarios in network anomaly detection, we consider the problem of detecting persistent items in a data stream, which are items that occur 'regularly' in the stream. In contrast with heavy hitters, persistent items do not necessarily ...
Space-efficient tracking of persistent items in a massive data stream
DEBS '11: Proceedings of the 5th ACM international conference on Distributed event-based systemMotivated by scenarios in network anomaly detection, we consider the problem of detecting persistent items in a data stream, which are items that occur "regularly" in the stream. In contrast with heavy-hitters, persistent items do not necessarily ...
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- Editor:
- Christopher Jermaine
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Association for Computing Machinery
New York, NY, United States
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- Refereed
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- Beijing Natural Science Foundation
- National Natural Science Foundation of China
- PCL
- Beijing Outstanding Young Scientist Program
- Alibaba Group through Alibaba Innovative Research Program, by CCF-Baidu Open Fund
- HKRGC
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