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Reference-Based Indexing of Sequence Databases

Summary: Proposes a reference-based index for large sequence databases under edit distance, reducing expensive computations with limited memory. Two novel reference-selection strategies and a new assignment method prune up to 20x–30x more candidates than Omni and frequency vectors, scalable to long sequences. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9502
Venue
VLDB
Year
2006
Pagerank
5.0532607e-05
Overall Rank
6,464 | 55.04%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
3,294 Approximate Embedding-Based Subsequence Matching of Time Series 2008 SIGMOD 7.2619257e-05
5,812 Reference-Based Alignment in Large Sequence Databases 2009 VLDB 5.3172025e-05
6,983 A Generic Framework for Efficient and Effective Subsequence Retrieval 2012 VLDB 4.8732757e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

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

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