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Efficient Top-k Algorithms for Approximate Substring Matching

Summary: Proposes top-k approximate substring matching over long strings under edit-distance with containment search. It uses novel filtering based on q-grams and inverted q-gram indexes to prune distance computations, achieving scalable, efficient performance on real datasets. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4793
Venue
SIGMOD
Year
2013
Pagerank
5.5664611e-05
Overall Rank
7,692 | 47.23%
DOI
10.1145/2463676.2465324

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Authors

BibTeX Citation

@inproceedings{kim_sigmod13,
        title = {{Efficient Top-k Algorithms for Approximate Substring Matching}},
        author = {Kim, Younghoon and Shim, Kyuseok},
        series = {{SIGMOD} '13},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2463676.2465324},
        url = {https://dl.acm.org/doi/10.1145/2463676.2465324},
        year = {2013}
}

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