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Fast nGram-Based String Search Over Data Encoded Using Algebraic Signatures

Summary: Algebraic-signature based nGram search encodes records into single symbols, enabling sublinear traversal with Rabin-Karp aggregation for faster matching than BM/KMP. Privacy-preserving encoded storage for DAS/DBs; servers never see plaintext; up to 70x DNA, 11x ASCII, 6x XML speedups. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9576
Venue
VLDB
Year
2007
Pagerank
5.5299002e-05
Overall Rank
5,397 | 62.46%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
1,944 WHAM: A High-throughput Sequence Alignment Method 2011 SIGMOD 0.00010004608
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 2 of 2 cited papers.

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

Rank Cited Paper Year Venue Pagerank
2,213 n-Gram/2L: A Space and Time Efficient Two-Level n-Gram Inverted Index Structure 2005 VLDB 9.2765152e-05
4,341 Privacy-Preserving Indexing of Documents on the Network 2003 VLDB 6.2763011e-05
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