Querying and Mining Data Streams: You Only Get One Look
Summary: One-pass, memory-bounded stream processing using concise synopses (samples, histograms, sketches, wavelets) to enable online query answering. Tutorial-style synthesis of core streaming results, online query use of summaries, and future directions in data-stream mining. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Minos Garofalakis (AT&T)
- 2. Johannes Gehrke (Cornell University)
- 3. Rajeev Rastogi (AT&T)
BibTeX Citation
@inproceedings{garofalakis_sigmod02,
title = {{Querying and Mining Data Streams: You Only Get One Look}},
author = {Garofalakis, Minos and Gehrke, Johannes and Rastogi, Rajeev},
series = {{SIGMOD} '02},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/564691.564794},
url = {https://dl.acm.org/doi/10.1145/564691.564794},
year = {2002}
}
Incoming Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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