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Sampling Time-Based Sliding Windows in Bounded Space

Summary: Sampling time-based sliding windows in bounded space; uniform sampling can't guarantee a minimum sample size, so bounded priority sampling (BPS) bounds space and adapts to data rate, with a lower bound on expected size. Stratified sampling via merge-based stratification (MBS) keeps strata roughly equal for even window coverage; feasibility study on large real-world data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4002
Venue
SIGMOD
Year
2008
Pagerank
7.9706235e-05
Overall Rank
2,878 | 79.98%
DOI
-

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Incoming Citations (Sorted by Pagerank)

Showing 8 of 8 citing papers.

Rank Citing Paper Year Venue Pagerank
2,080 Optimal Sampling From Distributed Streams 2010 PODS 9.5899129e-05
2,789 Optimal Sampling from Sliding Windows 2009 PODS 8.1249652e-05
3,063 Sliding Window-based Approximate Triangle Counting over Streaming Graphs with Duplicate Edges 2021 SIGMOD 7.6321424e-05
4,718 Weighted Reservoir Sampling from Distributed Streams 2019 PODS 5.9749691e-05
6,774 Matrix Sketching Over Sliding Windows 2016 SIGMOD 4.9299348e-05
9,632 External Memory Stream Sampling 2015 PODS 4.313481e-05
9,962 Adaptive threshold sampling 2022 SIGMOD 4.2294678e-05
10,586 GREAT: Generalized Reservoir Sampling based Triangle Counting Estimation over Streaming Graphs 2025 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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