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» Memory-constrained aggregate computation over data streams
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KDD
2003
ACM
192views Data Mining» more  KDD 2003»
14 years 7 months 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
EDBT
2002
ACM
114views Database» more  EDBT 2002»
14 years 6 months ago
Temporal Aggregation over Data Streams Using Multiple Granularities
Donghui Zhang, Dimitrios Gunopulos, Vassilis J. Ts...
SIGMOD
2010
ACM
281views Database» more  SIGMOD 2010»
13 years 11 months ago
Continuous sampling for online aggregation over multiple queries
In this paper, we propose an online aggregation system called COSMOS (Continuous Sampling for Multiple queries in an Online aggregation System), to process multiple aggregate quer...
Sai Wu, Beng Chin Ooi, Kian-Lee Tan
ICDE
2006
IEEE
144views Database» more  ICDE 2006»
14 years 8 months ago
Approximately Processing Multi-granularity Aggregate Queries over Data Streams
Aggregate monitoring over data streams is attracting more and more attention in research community due to its broad potential applications. Existing methods suffer two problems, 1...
Shouke Qin, Weining Qian, Aoying Zhou
SIGMOD
2005
ACM
133views Database» more  SIGMOD 2005»
14 years 6 months ago
Semantics and Evaluation Techniques for Window Aggregates in Data Streams
A windowed query operator breaks a data stream into possibly overlapping subsets of data and computes results over each. Many stream systems can evaluate window aggregate queries....
Jin Li, David Maier, Kristin Tufte, Vassilis Papad...