Adaptive and Scalable Database Management with Machine Learning Integration: A PostgreSQL Case Study

Adaptive and Scalable Database Management with Machine Learning Integration: A PostgreSQL Case Study

The increasing complexity of managing modern database systems, particularly in terms of optimizing query performance for large datasets, presents significant challenges that traditional methods often fail to address. This paper proposes a comprehensive framework for integrating advanced machine lear...

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Bibliographic Details
Main Authors: Maryam Abbasi, Marco V. Bernardo, Paulo Váz, José Silva, Pedro Martins
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:Information
Subjects:
machine learning integration
database optimization
query performance
dynamic workload management
PostgreSQL
real-time system tuning
Online Access:https://www.mdpi.com/2078-2489/15/9/574

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https://www.mdpi.com/2078-2489/15/9/574

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