Local Filtering: Improving the Performance of Approximate Queries on String Collections
Summary: Local filtering uses local dissimilarities, via positional local distance that bounds edit-distance contributions from query fragments. Indexing distances across fragments enables pruning and bit-parallel verification with speedups. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Xiaohun Yang (Northeastern University)
- 2. Yaoshu Wang (University of New South Wales)
- 3. Bin Wang (Northeastern University)
- 4. Wei Wang (University of New South Wales)
BibTeX Citation
@inproceedings{yang_sigmod15,
title = {{Local Filtering: Improving the Performance of Approximate Queries on String Collections}},
author = {Yang, Xiaohun and Wang, Yaoshu and Wang, Bin and Wang, Wei},
series = {{SIGMOD} '15},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2723372.2749445},
url = {https://dl.acm.org/doi/10.1145/2723372.2749445},
year = {2015}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,052 | Local Similarity Search for Unstructured Text | 2016 | SIGMOD | 6.935988e-05 |
| 5,726 | Pigeonring: A Principle for Faster Thresholded Similarity Search | 2019 | VLDB | 6.1079184e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 18 of 18 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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