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Mergeable Summaries

Summary: Show heavy-hitter and quantile summaries can be made mergeable: deterministic heavy-hitters size O(1/ε) and randomized fully-mergeable quantiles size O((1/ε)log^{3/2}(1/ε)). Extend to geometric ε-approximations/ε-kernels and show MG=SpaceSaving. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
he69a4fc9782b7ad7
Venue
PODS
Year
2012
Pagerank
0.00017904764
Overall Rank
456 | 96.94%
DOI
10.1145/2213556.2213562

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{agarwal_pods12,
        address = {New York, NY, USA},
        series = {{PODS} '12},
        title = {{Mergeable Summaries}},
        url = {https://dl.acm.org/doi/10.1145/2213556.2213562},
        doi = {10.1145/2213556.2213562},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Agarwal, Pankaj K. and Cormode, Graham and Huang, Zengfeng and Phillips, Jeff M. and Wei, Zhewei and Yi, Ke},
        year = {2012}
}

Incoming Citations (Sorted by Pagerank)

Showing 50 of 52 citing papers.

Rank Citing Paper Year Venue Pagerank
2,073 A General-Purpose Counting Filter: Making Every Bit Count 2017 SIGMOD 9.0833741e-05
2,434 DDSketch: A Fast and Fully-Mergeable Quantile Sketch with Relative-Error Guarantees 2019 VLDB 8.4726771e-05
2,759 Composable Core-sets for Diversity and Coverage Maximization 2014 PODS 8.0465707e-05
2,773 Approximate Selection with Guarantees using Proxies 2020 VLDB 8.0318294e-05
2,799 Moment-Based Quantile Sketches for Efficient High Cardinality Aggregation Queries 2018 VLDB 7.9895512e-05
2,931 Data Sketches for Disaggregated Subset Sum and Frequent Item Estimation 2018 SIGMOD 7.8378935e-05
3,075 Pushing Data-Induced Predicates Through Joins in Big-Data Clusters 2020 VLDB 7.6742518e-05
3,681 Quantiles over Data Streams: An Experimental Study 2013 SIGMOD 7.1012729e-05
3,896 FREDE: Anytime Graph Embeddings 2021 VLDB 6.9349294e-05
3,943 Better Differentially Private Approximate Histograms and Heavy Hitters using the Misra-Gries Sketch 2023 PODS 6.9103558e-05
3,945 Randomized Algorithms for Tracking Distributed Count, Frequencies, and Ranks 2012 PODS 6.9072302e-05
4,005 Optimal Bounds for Approximate Counting 2022 PODS 6.8569692e-05
4,566 Relative Error Streaming Quantiles 2021 PODS 6.5286509e-05
5,048 KLL± Approximate Quantile Sketches over Dynamic Datasets 2021 VLDB 6.2971455e-05
5,326 A Tight Lower Bound for Comparison-Based Quantile Summaries 2020 PODS 6.1794406e-05
5,379 At-the-time and Back-in-time Persistent Sketches 2021 SIGMOD 6.1540191e-05
5,845 Optimal and General Out-of-Order Sliding-Window Aggregation 2019 VLDB 5.9703333e-05
5,930 Hillview: A trillion-cell spreadsheet for big data 2019 VLDB 5.9410245e-05
6,202 Combining Aggregation and Sampling (Nearly) Optimally for Approximate Query Processing 2021 SIGMOD 5.8494367e-05
6,837 Matrix Sketching Over Sliding Windows 2016 SIGMOD 5.6657713e-05
6,838 Continuous Matrix Approximation on Distributed Data 2014 VLDB 5.6657713e-05
7,518 Computing A Well-Representative Summary of Conjunctive Query Results 2024 PODS 5.5023404e-05
7,703 SpaceSaving±: An Optimal Algorithm for Frequency Estimation and Frequent Items in the Bounded-Deletion Model 2022 VLDB 5.4728588e-05
7,707 Enabling Efficient and General Subpopulation Analytics in Multidimensional Data Streams 2022 VLDB 5.4723863e-05
7,997 Differentially Private Hierarchical Heavy Hitters 2024 PODS 5.4090218e-05
8,176 Together is Better: Heavy Hitters Quantile Estimation 2023 SIGMOD 5.3818879e-05
8,336 LAQy: Efficient and Reusable Query Approximations via Lazy Sampling 2023 SIGMOD 5.3508072e-05
8,443 Efficient Matrix Sketching over Distributed Data 2017 PODS 5.3324907e-05
8,522 Optimistic Data Parallelism for FPGA-Accelerated Sketching 2023 VLDB 5.3225121e-05
8,773 Stream Frequency over Interval Queries 2019 VLDB 5.2803988e-05
8,783 CoopStore: Optimizing Precomputed Summaries for Aggregation 2020 VLDB 5.2776273e-05
8,844 Efficient framework for operating on data sketches 2023 VLDB 5.2650116e-05
8,845 On the algebra of data sketches 2021 VLDB 5.2650116e-05
8,909 Biclustering and Boolean Matrix Factorization in Data Streams 2020 VLDB 5.2534908e-05
9,047 Scotch: Generating FPGA-Accelerators for Sketching at Line Rate 2021 VLDB 5.2306775e-05
9,578 Determining Exact Quantiles with Randomized Summaries 2024 SIGMOD 5.154741e-05
9,805 SplineSketch: Even More Accurate Quantiles with Error Guarantees 2026 SIGMOD 5.1233734e-05
10,512 Sketch-based Secure Query Processing for Streaming Data 2026 SIGMOD 4.9769913e-05
10,685 Quantile Estimation with Duplicates 2026 SIGMOD 4.9769913e-05
10,918 Incremental Query Optimizer Statistics in Amazon Redshift 2026 VLDB 4.9769913e-05
11,125 Randomized Sketches for Quantile in LSM-tree based Store 2025 SIGMOD 4.9769913e-05
11,135 Dynamic Pruning for Recursive Joins 2025 SIGMOD 4.9769913e-05
11,312 Cuckoo Heavy Keeper and the balancing act of maintaining heavy hitters in stream processing 2025 VLDB 4.9769913e-05
11,349 Approximate 2-hop neighborhoods on incremental graphs: An efficient lazy approach 2025 VLDB 4.9769913e-05
11,697 Applications of Sketching and Pathways to Impact 2023 PODS 4.9769913e-05
11,778 Out-of-Order Sliding-Window Aggregation with Efficient Bulk Evictions and Insertions 2023 VLDB 4.9769913e-05
11,871 Scaling Equi-Joins 2022 SIGMOD 4.9769913e-05
11,884 Efficient and Error-bounded Spatiotemporal Quantile Monitoring in Edge Computing Environments 2022 VLDB 4.9769913e-05
11,945 Data-Independent Space Partitionings for Summaries 2021 PODS 4.9769913e-05
12,011 In the Land of Data Streams where Synopses are Missing, One Framework to Bring Them All 2021 VLDB 4.9769913e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 cited papers.

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

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