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Salazar-Díaz et al., 2024 - Google Patents

Inferdb: In-database machine learning inference using indexes

Salazar-Díaz et al., 2024

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Document ID
17865081426258659755
Author
Salazar-Díaz R
Glavic B
Rabl T
Publication year
Publication venue
Proceedings of the VLDB Endowment

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Snippet

The performance of inference with machine learning (ML) models and its integration with analytical query processing have become critical bottlenecks for data analysis in many organizations. An ML inference pipeline typically consists of a preprocessing workflow …
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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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    • G06F17/30522Query processing with adaptation to user needs
    • G06F17/3053Query processing with adaptation to user needs using ranking
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    • G06F17/30424Query processing
    • G06F17/30477Query execution
    • G06F17/30483Query execution of query operations
    • G06F17/30486Unary operations; data partitioning operations
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    • G06F17/30286Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G06F17/30289Database design, administration or maintenance
    • G06F17/30303Improving data quality; Data cleansing
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