5 citations · 5 across the 1 of their papers we have counts for
3 papers
A Novel Framework Using Deep Reinforcement Learning for Join Order Selection
Chang Liu, Amin Kamali, Verena Kantere +2
Join order selection is a sub-field of query optimization that aims to find the optimal join order for an SQL query with the minimum cost. The challenge lies in the exponentially g…
Robust Plan Evaluation based on Approximate Probabilistic Machine Learning
Amin Kamali, Verena Kantere, Calisto Zuzarte +1
Query optimizers in RDBMSs search for execution plans expected to be optimal for given queries. They use parameter estimates, often inaccurate, and make assumptions that may not ho…
Guided Automated Learning for query workload re-Optimization
Guilherme Damasio, Vincent Corvinelli, Parke Godfrey +4
Query optimization is a hallmark of database systems enabling complex SQL queries of today's applications to be run efficiently. The query optimizer often fails to find the best pl…