Anytime Measures for Top-k Algorithms
Summary: Anytime measures for top-k queries on large multi-attribute data, examining TA and TA-Sorted. A probabilistic framework yields, at any moment, the confidence that the top-k is identified, enabling early stopping and runtime savings. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Benjamin Arai (University of California Riverside)
- 2. Gautam Das (University of Texas, Arlington)
- 3. Dimitrios Gunopulos (University of California Riverside)
- 4. Nick Koudas (University of Toronto)
BibTeX Citation
@article{arai_vldb07,
title = {{Anytime Measures for Top-k Algorithms}},
author = {Arai, Benjamin and Das, Gautam and Gunopulos, Dimitrios and Koudas, Nick},
journal = {PVLDB},
series = {{VLDB} '07},
pages = {914--925},
doi = {10.1145/1325851.1325954},
url = {https://doi.org/10.1145/1325851.1325954},
year = {2007}
}
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,138 | Robust and Efficient Algorithms for Rank Join Evaluation | 2009 | SIGMOD | 6.3495536e-05 |
| 6,175 | Ad-Hoc Aggregations of Ranked Lists in the Presence of Hierarchies | 2008 | SIGMOD | 5.9508648e-05 |
| 8,378 | Discovering the Skyline of Web Databases | 2016 | VLDB | 5.4387677e-05 |
| 12,494 | Skip-and-Prune: Cosine-based Top-K Query Processing for Efficient Context-Sensitive Document Retrieval | 2009 | SIGMOD | 5.093636e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 15 of 15 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 11,954 | Durable Top-k Queries on Temporal Data | 2018 | VLDB |
| 2 | 3,702 | Best Position Algorithms for Top-k Queries | 2007 | VLDB |
| 3 | 3,500 | Progressive and Selective Merge: Computing Top-K with Ad-hoc Ranking Functions | 2007 | SIGMOD |
| 4 | 1,967 | IO-Top-k: Index-access Optimized Top-k Query Processing | 2006 | VLDB |
| 5 | 2,427 | Processing a Large Number of Continuous Preference Top-k Queries | 2012 | SIGMOD |
| 6 | 7,934 | Ranking Large Temporal Data | 2012 | VLDB |
| 7 | 12,308 | Optimal Top-k Generation of Attribute Combinations based on Ranked Lists | 2012 | SIGMOD |
| 8 | 7,299 | Efficient and Generic Evaluation of Ranked Queries | 2011 | SIGMOD |
| 9 | 8,281 | Efficient Top-K Processing Over Query-Dependent Functions | 2008 | VLDB |
| 10 | 1,519 | Top-k Query Evaluation with Probabilistic Guarantees | 2004 | VLDB |