Database Paper Browser

Back to papers

Indexing Mixed Types for Approximate Retrieval

Summary: Proposes indexing mixed string and numeric attributes for approximate multi-attribute retrieval, beyond B-trees. Uses compressed tries in a multidimensional index to support edit distance and numeric distance predicates, with compression and gains. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9357
Venue
VLDB
Year
2005
Pagerank
4.653704e-05
Overall Rank
7,777 | 45.90%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 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