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.
InProceedings of the 1990 ACM SIGMOD International Conference on Management of Data, Atlantic City, NJ, USA, May 23-25, 1990
2 Pith papers cite this work. Polarity classification is still indexing.
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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.
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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.