The RLR-tree: a reinforcement learning based R-tree for spatial data

The RLR-tree: a reinforcement learning based R-tree for spatial data

Learned indexes have been proposed to replace classic index structures like B-Tree with machine learning (ML) models. They require to replace both the indexes and query processing algorithms currently deployed by the databases, and such a radical departure is likely to encounter challenges and obsta...

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Bibliographic Details
Main Authors: Gu, Tu, Feng, Kaiyu, Cong, Gao, Long, Cheng, Wang, Zheng, Wang, Sheng
Other Authors: Interdisciplinary Graduate School (IGS)
Format: Conference Paper
Language:English
Published: 2023
Subjects:
Engineering::Computer science and engineering::Data
Spatial Data
Spatial Query Processing
Learned Index
Reinforcement Learning
Deep Learning
Online Access:https://hdl.handle.net/10356/166210
https://2023.sigmod.org/

Internet

https://hdl.handle.net/10356/166210
https://2023.sigmod.org/

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