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Random Sampling Techniques for Space Efficient Online Computation of Order Statistics of Large Datasets

Summary: Space-efficient online quantile estimation without input length, via non-uniform random sampling, extending the single-pass framework for approximate order statistics. Lightweight extreme-quantile estimator uses less space than general methods, showing sampling's edge for tail quantiles. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h069bbbc208c8028a
Venue
SIGMOD
Year
1999
Pagerank
0.00018032912
Overall Rank
450 | 96.98%
DOI
10.1145/304182.304204

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{manku_sigmod99,
        title = {{Random Sampling Techniques for Space Efficient Online Computation of Order Statistics of Large Datasets}},
        author = {Manku, Gurmeet Singh and Rajagopalan, Sridhar and Lindsay, Bruce G.},
        series = {{SIGMOD} '99},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/304182.304204},
        url = {https://dl.acm.org/doi/10.1145/304182.304204},
        year = {1999}
}

Incoming Citations (Sorted by Pagerank)

Showing 30 of 30 citing papers.

Rank Citing Paper Year Venue Pagerank
26 Models and Issues in Data Stream Systems 2002 PODS 0.00052121228
83 Space-Efficient Online Computation of Quantile Summaries 2001 SIGMOD 0.00035978046
124 Approximate Frequency Counts over Data Streams 2002 VLDB 0.00030600691
255 The History of Histograms (abridged) 2003 VLDB 0.00022981861
312 Surfing Wavelets on Streams: One-Pass Summaries for Approximate Aggregate Queries 2001 VLDB 0.00021311793
566 On Computing Correlated Aggregates Over Continual Data Streams 2001 SIGMOD 0.00016295476
678 StatStream: Statistical Monitoring of Thousands of Data Streams in Real Time 2002 VLDB 0.00014838454
710 Approximate Counts and Quantiles over Sliding Windows 2004 PODS 0.00014608975
842 Processing Complex Aggregate Queries over Data Streams 2002 SIGMOD 0.00013540697
1,415 Estimating PageRank on Graph Streams 2008 PODS 0.00010737378
2,603 PLANET: Massively Parallel Learning of Tree Ensembles with MapReduce 2009 VLDB 8.2312028e-05
2,750 Space- and Time-Efficient Deterministic Algorithms for Biased Quantiles over Data Streams 2006 PODS 8.0573403e-05
3,678 Quantiles over Data Streams: An Experimental Study 2013 SIGMOD 7.104636e-05
4,305 The Adversarial Robustness of Sampling 2020 PODS 6.67672e-05
4,324 On Biased Reservoir Sampling in the Presence of Stream Evolution 2006 VLDB 6.6656407e-05
4,564 Relative Error Streaming Quantiles 2021 PODS 6.5317429e-05
5,045 KLL± Approximate Quantile Sketches over Dynamic Datasets 2021 VLDB 6.3001279e-05
5,320 A Tight Lower Bound for Comparison-Based Quantile Summaries 2020 PODS 6.1823673e-05
5,327 Fast and Approximate Stream Mining of Quantiles and Frequencies Using Graphics Processors 2005 SIGMOD 6.1783009e-05
5,698 Approximate Quantiles and the Order of the Stream 2006 PODS 6.0317949e-05
8,104 Logging Every Footstep: Quantile Summaries for the Entire History 2010 SIGMOD 5.3942942e-05
8,170 Together is Better: Heavy Hitters Quantile Estimation 2023 SIGMOD 5.3844369e-05
8,579 Adaptive Sampling for Geometric Problems over Data Streams 2004 PODS 5.3105106e-05
9,496 Estimating Quantiles from the Union of Historical and Streaming Data 2017 VLDB 5.1708619e-05
9,539 Controlled Intentional Degradation in Analytical Video Systems 2022 SIGMOD 5.1621607e-05
9,570 Determining Exact Quantiles with Randomized Summaries 2024 SIGMOD 5.1571823e-05
9,798 SplineSketch: Even More Accurate Quantiles with Error Guarantees 2026 SIGMOD 5.1257999e-05
10,674 Quantile Estimation with Duplicates 2026 SIGMOD 4.9793485e-05
11,116 Randomized Sketches for Quantile in LSM-tree based Store 2025 SIGMOD 4.9793485e-05
11,878 Efficient and Error-bounded Spatiotemporal Quantile Monitoring in Edge Computing Environments 2022 VLDB 4.9793485e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

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

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