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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
9548
Venue
VLDB
Year
2005
Pagerank
5.492543e-05
Overall Rank
8,078 | 44.58%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{jin_vldb05,
        title = {{Indexing Mixed Types for Approximate Retrieval}},
        author = {Jin, Liang and Koudas, Nick and Li, Chen and Tung, Anthony K. H.},
        journal = {PVLDB},
        series = {{VLDB} '05},
        pages = {793--804},
        year = {2005}
}

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