Optimal Top-K Query Evaluation for Weighted Business Processes
Summary: Top-k weighted BP flow discovery: given a BP, a flow-weighting function, a query, and k, identify the k highest-weighted flows satisfying the query. First provably optimal algorithm for top-k BP flows; enables efficient top-k query evaluation in data management. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Authors
- 1. Daniel Deutch (Tel Aviv University)
- 2. Tova Milo (Tel Aviv University)
- 3. Neoklis Polyzotis (University of California Santa Cruz)
- 4. Tom Yam (Tel Aviv University)
BibTeX Citation
@article{deutch_vldb10,
title = {{Optimal Top-K Query Evaluation for Weighted Business Processes}},
author = {Deutch, Daniel and Milo, Tova and Polyzotis, Neoklis and Yam, Tom},
journal = {PVLDB},
series = {{VLDB} '10},
volume = {3},
number = {1},
pages = {940--951},
doi = {10.14778/1920841.1920960},
url = {https://doi.org/10.14778/1920841.1920960},
year = {2010}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,511 | A Quest for Beauty and Wealth (or, Business Processes for Database Researchers) | 2011 | PODS | 6.1915384e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5 | Optimal Aggregation Algorithms for Middleware [Extended Abstract] | 2001 | PODS | 0.0010828372 |
| 2,125 | Verification of Communicating Data-Driven Web Services | 2006 | PODS | 9.1334411e-05 |
| 3,075 | Matching Twigs in Probabilistic XML | 2007 | VLDB | 7.7839831e-05 |
| 5,349 | Data Stream Query Processing: A Tutorial | 2003 | VLDB | 6.256154e-05 |
| 5,979 | QoX-Driven ETL Design: Reducing the Cost of ETL Consulting Engagements | 2009 | SIGMOD | 6.0212043e-05 |
| 12,575 | Type Inference and Type Checking for Queries on Execution Traces | 2008 | VLDB | 5.093636e-05 |
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