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IL-Miner: Instance-Level Discovery of Complex Event Patterns

Summary: IL-MINER learns complex event patterns directly from labeled event instances, avoiding user-defined event abstractions. Its multi-phase search identifies relevant abstractions while guaranteeing correctness, minimality, and completeness, yielding broader pattern coverage than type-level methods. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
11711
Venue
VLDB
Year
2017
Pagerank
5.8393764e-05
Overall Rank
6,560 | 55.00%
DOI
10.14778/3007263.3007267

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{george_vldb17,
        title = {{IL-Miner: Instance-Level Discovery of Complex Event Patterns}},
        author = {George, Lars and Cadonna, Bruno and Weidlich, Matthias},
        journal = {PVLDB},
        series = {{VLDB} '17},
        volume = {10},
        number = {1},
        pages = {25--36},
        doi = {10.14778/3007263.3007267},
        url = {https://doi.org/10.14778/3007263.3007267},
        year = {2017}
}

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