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Zhang et al., 2021 - Google Patents

SPRIG: A learned spatial index for range and kNN queries

Zhang et al., 2021

Document ID
11636237081061437689
Author
Zhang S
Ray S
Lu R
Zheng Y
Publication year
Publication venue
Proceedings of the 17th International Symposium on Spatial and Temporal Databases

External Links

Snippet

A corpus of recent work has revealed that the learned index can improve query performance while reducing the storage overhead. It potentially offers an opportunity to address the spatial query processing challenges caused by the surge in location-based services …
Continue reading at dl.acm.org (other versions)

Classifications

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    • G06F17/30286Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G06F17/30386Retrieval requests
    • G06F17/30424Query processing
    • G06F17/30533Other types of queries
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
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    • G06F17/30312Storage and indexing structures; Management thereof
    • G06F17/30321Indexing structures
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    • G06COMPUTING; CALCULATING; COUNTING
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    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
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    • G06F17/30522Query processing with adaptation to user needs
    • G06F17/3053Query processing with adaptation to user needs using ranking
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    • G06F17/30861Retrieval from the Internet, e.g. browsers
    • G06F17/30864Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
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