VGRAM: Improving Performance of Approximate Queries on String Collections Using Variable-Length Grams
Summary: VGRAM selects variable-length grams to speed up approximate string queries. It derives query grams from selected grams and links gram-set similarity to edit distance, enabling adoption by algorithms with minimal changes; experiments show speedups. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Chen Li (University of California Irvine)
- 2. Bin Wang (Northeastern University)
- 3. Xiaochun Yang (Northeastern University)
BibTeX Citation
@article{li_vldb07,
title = {{VGRAM: Improving Performance of Approximate Queries on String Collections Using Variable-Length Grams}},
author = {Li, Chen and Wang, Bin and Yang, Xiaochun},
journal = {PVLDB},
series = {{VLDB} '07},
pages = {303--314},
year = {2007}
}
Incoming Citations (Sorted by Pagerank)
Showing 28 of 28 citing papers.
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Outgoing Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 107 | Approximate String Joins in a Database (Almost) for Free | 2001 | VLDB | 0.00033511706 |
| 158 | Robust and Efficient Fuzzy Match for Online Data Cleaning | 2003 | SIGMOD | 0.00028199923 |
| 160 | Integration of Heterogeneous Databases Without Common Domains Using Queries Based on Textual Similarity | 1998 | SIGMOD | 0.0002802209 |
| 200 | Efficient set joins on similarity predicates | 2004 | SIGMOD | 0.00025597287 |
| 254 | Record Linkage: Similarity Measures and Algorithms | 2006 | SIGMOD | 0.00023199211 |
| 1,140 | Estimating Alphanumeric Selectivity in the Presence of Wildcards | 1996 | SIGMOD | 0.0001200574 |
| 1,427 | Substring Selectivity Estimation | 1999 | PODS | 0.00010812749 |
| 2,262 | n-Gram/2L: A Space and Time Efficient Two-Level n-Gram Inverted Index Structure | 2005 | VLDB | 8.8440146e-05 |
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