Optimal Aggregation Algorithms for Middleware [Extended Abstract]
Summary: Introduces TA, proved instance-optimal for top-k under any monotone aggregation on every database with only constant-size buffers. Gives optimal variants when random access is costly/impossible and contrasts TA's deterministic worst-case optimality and low memory vs. Fagin's Algorithm. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ronald Fagin (IBM)
- 2. Amnon Lotem (University of Maryland)
- 3. Moni Naor (Weizmann Institute of Science)
BibTeX Citation
@inproceedings{fagin_pods01,
address = {New York, NY, USA},
series = {{PODS} '01},
title = {{Optimal Aggregation Algorithms for Middleware [Extended Abstract]}},
url = {https://dl.acm.org/doi/10.1145/375551.375567},
doi = {10.1145/375551.375567},
booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
publisher = {Association for Computing Machinery},
author = {Fagin, Ronald and Lotem, Amnon and Naor, Moni},
year = {2001}
}Incoming Citations (Sorted by Pagerank)
Showing 50 of 246 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 110 | Optimizing Multi-Feature Queries for Image Databases | 2000 | VLDB | 0.00032662513 |
| 170 | Combining Fuzzy Information from Multiple Systems | 1996 | PODS | 0.0002707332 |
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