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What’s Hot and What’s Not: Tracking Most Frequent Items Dynamically

Summary: Small-space dynamic algorithm that reports all hot (frequent) items under inserts and deletions with user-specified success probability and without rescanning the DB. Uses group-testing to achieve simple implementation and provable space/time/accuracy guarantees, unlike prior work. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1300
Venue
PODS
Year
2003
Pagerank
0.0001370404
Overall Rank
838 | 94.26%
DOI
10.1145/773153.773182

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{cormode_pods03,
        address = {New York, NY, USA},
        series = {{PODS} '03},
        title = {{What’s Hot and What’s Not: Tracking Most Frequent Items Dynamically}},
        url = {https://dl.acm.org/doi/10.1145/773153.773182},
        doi = {10.1145/773153.773182},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Cormode, Graham and Muthukrishnan, S.},
        year = {2003}
}

Incoming Citations (Sorted by Pagerank)

Showing 28 of 28 citing papers.

Rank Citing Paper Year Venue Pagerank
438 DBToaster: Higher-order Delta Processing for Dynamic, Frequently Fresh Views 2012 VLDB 0.00018471721
691 Approximate Counts and Quantiles over Sliding Windows 2004 PODS 0.00014927798
2,128 Summarizing and Mining Inverse Distributions on Data Streams via Dynamic Inverse Sampling 2005 VLDB 9.1271562e-05
2,406 Holistic Aggregates in a Networked World: Distributed Tracking of Approximate Quantiles 2005 SIGMOD 8.6187297e-05
2,698 Rosetta: A Robust Space-Time Optimized Range Filter for Key-Value Stores 2020 SIGMOD 8.2450522e-05
2,808 A Simpler and More Efficient Deterministic Scheme for Finding Frequent Items over Sliding Windows 2006 PODS 8.1006881e-05
3,023 Persistent Data Sketching 2015 SIGMOD 7.8398269e-05
3,703 Approximation Techniques for Spatial Data 2004 SIGMOD 7.1829776e-05
3,832 Optimal Tracking of Distributed Heavy Hitters and Quantiles 2009 PODS 7.0856664e-05
4,005 Fast Data Stream Algorithms using Associative Memories 2007 SIGMOD 6.9643802e-05
4,258 Diamond in the Rough: Finding Hierarchical Heavy Hitters in Multi-Dimensional Data 2004 SIGMOD 6.7994155e-05
4,370 Fast Manhattan Sketches in Data Streams 2010 PODS 6.7387541e-05
4,381 Proof-Infused Streams: Enabling Authentication of Sliding Window Queries On Streams 2007 VLDB 6.7333392e-05
4,683 False Positive or False Negative: Mining Frequent Itemsets from High Speed Transactional Data Streams 2004 VLDB 6.5641059e-05
5,036 Finding Hierarchical Heavy Hitters in Data Streams 2003 VLDB 6.3915389e-05
5,216 Fast and Approximate Stream Mining of Quantiles and Frequencies Using Graphics Processors 2005 SIGMOD 6.3121293e-05
6,060 Finding Global Icebergs over Distributed Data Sets 2006 PODS 5.9914746e-05
6,120 Finding Frequent Items in Probabilistic Data 2008 SIGMOD 5.9693818e-05
7,548 Local Differentially Private Heavy Hitter Detection in Data Streams with Bounded Memory 2024 SIGMOD 5.6021153e-05
7,713 Sketch-based Querying of Distributed Sliding-Window Data Streams 2012 VLDB 5.5610113e-05
7,751 GeoScope: Online Detection of Geo-Correlated Information Trends in Social Networks 2014 VLDB 5.552233e-05
7,752 Sketch-based Geometric Monitoring of Distributed Stream Queries 2013 VLDB 5.5521918e-05
8,106 SpaceSaving±: An Optimal Algorithm for Frequency Estimation and Frequent Items in the Bounded-Deletion Model 2022 VLDB 5.4853605e-05
9,084 Sketching via Hashing: From Heavy Hitters to Compressive Sensing to Sparse Fourier Transform 2013 PODS 5.3251649e-05
11,759 Timely Reporting of Heavy Hitters using External Memory 2020 SIGMOD 5.093636e-05
12,582 SLEUTH: Single-pubLisher attack dEtection Using correlaTion Hunting 2008 VLDB 5.093636e-05
12,683 Deterministic K-Set Structure 2006 PODS 5.093636e-05
12,755 Using Association Rules for Fraud Detection in Web Advertising Networks 2005 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 8 of 8 cited papers.

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

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