In the ever-growing world of data management, Sayantan Saha explores the revolutionary advances in AI-powered query optimization. These innovations are reshaping how database systems handle complex ...

Abstract With the rapid development of artificial intelligence, large language models (LLMs) have demonstrated remarkable capabilities in natural language understanding and generation. These models ...

This project features an advanced chess engine leveraging algorithms such as minimax with alpha-beta pruning, transposition tables, and heuristic-based move ordering. It aims to surpass human-level ...

The query optimizer is a crucial component in a relational database system and is responsible for finding a good execution plan for a SQL query. For cloud database service providers, the importance of ...

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By combining machine learning and adaptive query execution, query optimization in Presto could become smarter and more efficient over repeated use.

Query processing and optimization have been extensively researched for close to five decades now, and are implemented in all contemporary database systems. Nevertheless, important challenges remain ...

We propose a generalization of the classical database query optimization problem: multi-objective parametric query (MPQ) optimization. MPQ compares alternative processing plans according to multiple ...