Adaptive and Scalable Database Management with Machine Learning Integration: A PostgreSQL Case Study
Maryam Abbasi,
Marco V. Bernardo,
Paulo Váz
et al.
Abstract: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 learning (ML) models within the architecture of a database management system (DBMS), with a specific focus on PostgreSQL. Our approach leverages a combination of supervised and unsupervised learning techniques to predic… Show more
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