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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)

Paper ID
10330
Venue
VLDB
Year
2010
Pagerank
5.093636e-05
Overall Rank
12,478 | 14.39%
DOI
10.14778/1920841.1920960

Incoming Non-self Citations Over Time

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Authors

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)

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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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