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A Shared Execution Strategy for Multiple Pattern Mining Requests over Streaming Data

Summary: Chandi shares execution across density-based cluster queries with differing pattern and window parameters, exploiting a characterized growth property to compactly encode and jointly maintain cluster sets. It scales to thousands of queries, averaging 4× speedup and 85% lower memory than independent processing. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
10145
Venue
VLDB
Year
2009
Pagerank
5.5661355e-05
Overall Rank
7,695 | 47.21%
DOI
10.14778/1687627.1687726

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{yang_vldb09,
        title = {{A Shared Execution Strategy for Multiple Pattern Mining Requests over Streaming Data}},
        author = {Yang, Di and Rundensteiner, Elke A. and Ward, Matthew O.},
        journal = {PVLDB},
        series = {{VLDB} '09},
        doi = {10.14778/1687627.1687726},
        url = {https://doi.org/10.14778/1687627.1687726},
        year = {2009}
}

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