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Example-based Spatial Pattern Matching

Summary: Introduces example-based spatial pattern matching (EPM) for geo-objects with keywords and locations to retrieve object sets that fit a user-described spatial pattern. Proposes an efficient algorithm with three pruning techniques and an approximation guarantee, validated on four real datasets. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12934
Venue
VLDB
Year
2022
Pagerank
5.093636e-05
Overall Rank
11,578 | 20.57%
DOI
10.14778/3551793.3551815

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Authors

BibTeX Citation

@article{chen_vldb22,
        title = {{Example-based Spatial Pattern Matching}},
        author = {Chen, Yue and Feng, Kaiyu and Cong, Gao and Kiah, Han Mao},
        journal = {PVLDB},
        series = {{VLDB} '22},
        volume = {15},
        number = {11},
        pages = {2572--2584},
        doi = {10.14778/3551793.3551815},
        url = {https://doi.org/10.14778/3551793.3551815},
        year = {2022}
}

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