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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
0.0001791284
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
2,071 A General-Purpose Counting Filter: Making Every Bit Count 2017 SIGMOD 9.0866982e-05
2,432 DDSketch: A Fast and Fully-Mergeable Quantile Sketch with Relative-Error Guarantees 2019 VLDB 8.4766851e-05
2,759 Composable Core-sets for Diversity and Coverage Maximization 2014 PODS 8.0503817e-05
2,776 Approximate Selection with Guarantees using Proxies 2020 VLDB 8.0309448e-05
2,798 Moment-Based Quantile Sketches for Efficient High Cardinality Aggregation Queries 2018 VLDB 7.9933329e-05
2,930 Data Sketches for Disaggregated Subset Sum and Frequent Item Estimation 2018 SIGMOD 7.8415815e-05
3,073 Pushing Data-Induced Predicates Through Joins in Big-Data Clusters 2020 VLDB 7.6777283e-05
3,678 Quantiles over Data Streams: An Experimental Study 2013 SIGMOD 7.104636e-05
3,896 FREDE: Anytime Graph Embeddings 2021 VLDB 6.9382139e-05
3,942 Better Differentially Private Approximate Histograms and Heavy Hitters using the Misra-Gries Sketch 2023 PODS 6.9136286e-05
3,944 Randomized Algorithms for Tracking Distributed Count, Frequencies, and Ranks 2012 PODS 6.9105015e-05
4,004 Optimal Bounds for Approximate Counting 2022 PODS 6.8602167e-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
5,373 At-the-time and Back-in-time Persistent Sketches 2021 SIGMOD 6.1569337e-05
5,843 Optimal and General Out-of-Order Sliding-Window Aggregation 2019 VLDB 5.9731599e-05
5,930 Hillview: A trillion-cell spreadsheet for big data 2019 VLDB 5.9438354e-05
6,221 Combining Aggregation and Sampling (Nearly) Optimally for Approximate Query Processing 2021 SIGMOD 5.8463347e-05
6,832 Matrix Sketching Over Sliding Windows 2016 SIGMOD 5.6684547e-05
6,833 Continuous Matrix Approximation on Distributed Data 2014 VLDB 5.6684547e-05
7,513 Computing A Well-Representative Summary of Conjunctive Query Results 2024 PODS 5.5049463e-05
7,697 SpaceSaving±: An Optimal Algorithm for Frequency Estimation and Frequent Items in the Bounded-Deletion Model 2022 VLDB 5.4754508e-05
7,701 Enabling Efficient and General Subpopulation Analytics in Multidimensional Data Streams 2022 VLDB 5.474978e-05
7,992 Differentially Private Hierarchical Heavy Hitters 2024 PODS 5.4115836e-05
8,170 Together is Better: Heavy Hitters Quantile Estimation 2023 SIGMOD 5.3844369e-05
8,331 LAQy: Efficient and Reusable Query Approximations via Lazy Sampling 2023 SIGMOD 5.3532622e-05
8,434 Efficient Matrix Sketching over Distributed Data 2017 PODS 5.3350162e-05
8,516 Optimistic Data Parallelism for FPGA-Accelerated Sketching 2023 VLDB 5.3250329e-05
8,764 Stream Frequency over Interval Queries 2019 VLDB 5.2828968e-05
8,776 CoopStore: Optimizing Precomputed Summaries for Aggregation 2020 VLDB 5.2800094e-05
8,835 Efficient framework for operating on data sketches 2023 VLDB 5.2675052e-05
8,836 On the algebra of data sketches 2021 VLDB 5.2675052e-05
8,901 Biclustering and Boolean Matrix Factorization in Data Streams 2020 VLDB 5.2559789e-05
9,039 Scotch: Generating FPGA-Accelerators for Sketching at Line Rate 2021 VLDB 5.2331548e-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
10,501 Sketch-based Secure Query Processing for Streaming Data 2026 SIGMOD 4.9793485e-05
10,674 Quantile Estimation with Duplicates 2026 SIGMOD 4.9793485e-05
10,909 Incremental Query Optimizer Statistics in Amazon Redshift 2026 VLDB 4.9793485e-05
11,116 Randomized Sketches for Quantile in LSM-tree based Store 2025 SIGMOD 4.9793485e-05
11,126 Dynamic Pruning for Recursive Joins 2025 SIGMOD 4.9793485e-05
11,304 Cuckoo Heavy Keeper and the balancing act of maintaining heavy hitters in stream processing 2025 VLDB 4.9793485e-05
11,341 Approximate 2-hop neighborhoods on incremental graphs: An efficient lazy approach 2025 VLDB 4.9793485e-05
11,691 Applications of Sketching and Pathways to Impact 2023 PODS 4.9793485e-05
11,772 Out-of-Order Sliding-Window Aggregation with Efficient Bulk Evictions and Insertions 2023 VLDB 4.9793485e-05
11,865 Scaling Equi-Joins 2022 SIGMOD 4.9793485e-05
11,878 Efficient and Error-bounded Spatiotemporal Quantile Monitoring in Edge Computing Environments 2022 VLDB 4.9793485e-05
11,939 Data-Independent Space Partitionings for Summaries 2021 PODS 4.9793485e-05
12,005 In the Land of Data Streams where Synopses are Missing, One Framework to Bring Them All 2021 VLDB 4.9793485e-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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