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Processing Queries By Linear Constraints

Summary: Introduces QBLC: a processing framework for selection queries defined by linear inequalities over multidimensional data, realized atop R-tree/k-d-B and related indexes to enable aggressive pruning. Key novelty: numerically safe pruning that guarantees no false negatives, with theoretical analysis and experiments showing dramatic cost reductions for OLAP/GIS/scientific workloads. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1123
Venue
PODS
Year
1997
Pagerank
0.00013505441
Overall Rank
1,172 | 91.85%
DOI
-

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