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Benchmarking Adaptive Multidimensional Indices

Summary: Benchmark comparing multidimensional adaptive-indexing methods across data types, distributions, sizes and workloads to expose relative strengths and failure modes. Proposes efficiency-enhancing tweaks and practical guidance for choosing/adapting methods in exploratory or evolving-data scenarios. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
14062
Venue
VLDB
Year
2025
Pagerank
4.1945683e-05
Overall Rank
10,748 | 25.23%
DOI
10.14778/3749646.3749709

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