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Multi-Dimensional Substring Selectivity Estimation

Summary: Multi-dimensional count-suffix trees for substring selectivity in cross-attribute queries. A probabilistic, space-efficient construction builds pruned trees directly; estimators GNO and MO, with MO leveraging all maximal multi-dimensional substrings to capture inter-dimension correlations and outperforming GNO empirically. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
8774
Venue
VLDB
Year
1999
Pagerank
7.6364508e-05
Overall Rank
3,207 | 78.00%
DOI
-

Incoming Non-self Citations Over Time

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BibTeX Citation

@article{jagadish_vldb99,
        title = {{Multi-Dimensional Substring Selectivity Estimation}},
        author = {Jagadish, H. V. and Kapitskaia, Olga and Ng, Raymond T. and Srivastava, Divesh},
        journal = {PVLDB},
        series = {{VLDB} '99},
        year = {1999}
}

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