An experimental evaluation of learned spatial indexes derives a decision tree for index selection under varying data skew, query selectivity, and storage conditions, validated on real point sets.
Leutenegger, Jeffrey Edgington, and Mario Alberto López
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.DB 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Indexicon is a lightweight, dependency-free C++ library that unifies several main-memory spatial indexes under one consistent interface and reports competitive performance on geographic datasets.
citing papers explorer
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Evaluating Learned Spatial Indexes
An experimental evaluation of learned spatial indexes derives a decision tree for index selection under varying data skew, query selectivity, and storage conditions, validated on real point sets.
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Indexicon: A Spatial Indexing Library
Indexicon is a lightweight, dependency-free C++ library that unifies several main-memory spatial indexes under one consistent interface and reports competitive performance on geographic datasets.