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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
8583
Venue
VLDB
Year
1999
Pagerank
7.6748073e-05
Overall Rank
3,035 | 78.89%
DOI
-

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