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LMSFC: A Novel Multidimensional Index based on Learned Monotonic Space Filling Curves

Summary: LMSFC learns a monotonic, data- and workload-adaptive space-filling curve to map multidimensional points to 1D, replacing fixed SFCs (e.g., z-order) to improve locality for learned indexes. Provides offline/online SFC optimization and outperforms prior methods. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13107
Venue
VLDB
Year
2023
Pagerank
4.917024e-05
Overall Rank
6,806 | 52.70%
DOI
10.14778/3603581.3603598

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Showing 18 of 18 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
2 R-Trees: A Dynamic Index Structure For Spatial Searching 1984 SIGMOD 0.0032118946
6 The R*-tree: An Efficient and Robust Access Method for Points and Rectangles 1990 SIGMOD 0.0016113151
24 The R+-Tree: A Dynamic Index For Multi-Dimensional Objects 1987 VLDB 0.00083300888
101 The Case for Learned Index Structures 2018 SIGMOD 0.00049778866
356 Hilbert R-tree: An Improved R-tree Using Fractals 1994 VLDB 0.00026091196
819 ALEX: An Updatable Adaptive Learned Index 2020 SIGMOD 0.00016237497
844 The PGM-index: a fully-dynamic compressed learned index with provable worst-case bounds 2020 VLDB 0.00015964123
1,365 FITing-Tree: A Data-aware Index Structure 2019 SIGMOD 0.00012379754
1,438 Benchmarking Learned Indexes 2021 VLDB 0.00011965956
1,464 Learning Multi-dimensional Indexes 2020 SIGMOD 0.0001184772
1,608 Qd-tree: Learning Data Layouts for Big Data Analytics 2020 SIGMOD 0.00011169837
1,699 Are We Ready For Learned Cardinality Estimation? 2021 VLDB 0.00010848882
1,887 Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads 2021 VLDB 0.00010201938
2,108 LISA: A Learned Index Structure for Spatial Data 2020 SIGMOD 9.5283642e-05
2,492 Integrating the UB-Tree into a Database System Kernel 2000 VLDB 8.649434e-05
2,550 Updatable Learned Index with Precise Positions 2021 VLDB 8.5569576e-05
2,676 Effectively Learning Spatial Indices 2020 VLDB 8.326321e-05
5,463 The RLR-Tree: A Reinforcement Learning Based R-Tree for Spatial Data 2023 SIGMOD 5.4920768e-05
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