Database Paper Browser

Back to papers

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
4731
Venue
SIGMOD
Year
2013
Pagerank
4.6721808e-05
Overall Rank
7,708 | 46.38%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 10 of 10 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Previous Page 1 / 1 Next

Semantically Similar Papers