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)
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Incoming Citations (Sorted by Pagerank)
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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.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 166 | Approximate Frequency Counts over Data Streams | 2002 | VLDB | 0.00039361552 |
| 184 | New Sampling-Based Summary Statistics for Improving Approximate Query Answers | 1998 | SIGMOD | 0.00036625711 |
| 269 | Fast Incremental Maintenance of Approximate Histograms | 1997 | VLDB | 0.00029656549 |
| 327 | Balancing Histogram Optimality and Practicality for Query Result Size Estimation | 1995 | SIGMOD | 0.00027308479 |
| 549 | Tracking Join and Self-Join Sizes in Limited Storage | 1999 | PODS | 0.00020376603 |
| 597 | Computing Iceberg Queries Efficiently | 1998 | VLDB | 0.00019475592 |
| 745 | Distributed Top-K Monitoring | 2003 | SIGMOD | 0.00017330487 |
| 956 | How to Summarize the Universe: Dynamic Maintenance of Quantiles | 2002 | VLDB | 0.00015066967 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 166 | Approximate Frequency Counts over Data Streams | 2002 | VLDB | 0.00039361552 |
| 10,983 | A Universal Sketch for Estimating Heavy Hitters and Per-Element Frequency Moments in Data Streams with Bounded Deletions | 2024 | SIGMOD | 4.1945683e-05 |
| 222 | Wavelet-Based Histograms for Selectivity Estimation | 1998 | SIGMOD | 0.00032828302 |
| 852 | Dynamic Multidimensional Histograms | 2002 | SIGMOD | 0.00015941524 |
| 4,449 | False Positive or False Negative: Mining Frequent Itemsets from High Speed Transactional Data Streams | 2004 | VLDB | 6.1780147e-05 |
| 8,218 | Mining Deviants in a Time Series Database | 1999 | VLDB | 4.5566051e-05 |
| 5,796 | Finding Frequent Items in Probabilistic Data | 2008 | SIGMOD | 5.3240234e-05 |
| 956 | How to Summarize the Universe: Dynamic Maintenance of Quantiles | 2002 | VLDB | 0.00015066967 |
| 12,519 | Scalable Continuous Query Processing by Tracking Hotspots | 2006 | VLDB | 4.1945683e-05 |
| 835 | Finding Frequent Items in Data Streams | 2008 | VLDB | 0.00016109621 |