Approximate Frequency Counts over Data Streams
Summary: Memory-efficient streaming frequency-count algorithms with provable error bounds for threshold-exceeding items. Handles both singleton-item streams (IP monitoring) and set-valued streams; includes a single-pass, optimized frequent itemset computation. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Gurmeet Singh Manku (Stanford University)
- 2. Rajeev Motwani (Stanford University)
BibTeX Citation
@article{manku_vldb02,
title = {{Approximate Frequency Counts over Data Streams}},
author = {Manku, Gurmeet Singh and Motwani, Rajeev},
journal = {PVLDB},
series = {{VLDB} '02},
doi = {10.1016/B978-155860869-6/50038-X},
url = {https://doi.org/10.1016/B978-155860869-6/50038-X},
year = {2002}
}
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
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