Approximate Frequency Counts over Data Streams
Summary: Tracing the Approximate Frequency Counts work and its influence on data-stream sketching, heavy-hitter detection, and sublinear memory algorithms. Also surveys a recent trend: personal data streams for quality-of-life gains. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Gurmeet Singh Manku (Google)
- 2. Rajeev Motwani
BibTeX Citation
@article{manku_vldb12,
title = {{Approximate Frequency Counts over Data Streams}},
author = {Manku, Gurmeet Singh and Motwani, Rajeev},
journal = {PVLDB},
series = {{VLDB} '12},
volume = {5},
number = {12},
pages = {1699--1699},
doi = {10.14778/2367502.2367508},
url = {https://doi.org/10.14778/2367502.2367508},
year = {2012}
}
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,780 | Data Streams with Bounded Deletions | 2018 | PODS | 5.9949139e-05 |
| 6,398 | BPTree: an ℓ2 Heavy Hitters Algorithm Using Constant Memory | 2017 | PODS | 5.7971271e-05 |
| 7,643 | Stingy Sketch: A Sketch Framework for Accurate and Fast Frequency Estimation | 2022 | VLDB | 5.4747961e-05 |
| 11,312 | Cuckoo Heavy Keeper and the balancing act of maintaining heavy hitters in stream processing | 2025 | VLDB | 4.9769913e-05 |
| 11,477 | Streaming Algorithms with Few State Changes | 2024 | PODS | 4.9769913e-05 |
| 11,834 | Truly Perfect Samplers for Data Streams and Sliding Windows | 2022 | PODS | 4.9769913e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 124 | Approximate Frequency Counts over Data Streams | 2002 | VLDB | 0.00030586757 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 14,252 | The Data-Centric Revolution in Networking | 2003 | VLDB |
| 2 | 14,129 | Trends in High Performance Analytics | 2006 | SIGMOD |
| 3 | 13,898 | Three Favorite Results | 2015 | SIGMOD |
| 4 | 13,999 | Theory of Data Stream Computing: Where to Go | 2011 | PODS |
| 5 | 13,786 | The Power of Summarization in Graph Mining and Learning: Smaller Data, Faster Methods, More Interpretability | 2021 | VLDB |
| 6 | 11,954 | Approximation Algorithms for Large Scale Data Analysis | 2021 | PODS |
| 7 | 8,773 | Stream Frequency over Interval Queries | 2019 | VLDB |
| 8 | 911 | Finding Frequent Items in Data Streams | 2008 | VLDB |
| 9 | 14,071 | Extreme Streaming: Business Optimization Driving Algorithmic Challenges | 2008 | SIGMOD |
| 10 | 124 | Approximate Frequency Counts over Data Streams | 2002 | VLDB |