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[PDF][PDF] Self-tuning database systems: a decade of progress
In this paper we discuss advances in self-tuning database systems over the past decade,
based on our experience in the AutoAdmin project at Microsoft Research. This paper …
based on our experience in the AutoAdmin project at Microsoft Research. This paper …
ML-powered index tuning: An overview of recent progress and open challenges
The increasing scale and complexity of workloads in modern cloud services highlight a
crucial challenge in automated index tuning: recommending high-quality indexes while …
crucial challenge in automated index tuning: recommending high-quality indexes while …
Are updatable learned indexes ready?
Learned index benefits: Machine learning based index performance estimation
J Shi, G Cong, XL Li - Proceedings of the VLDB Endowment, 2022 - dl.acm.org
Index selection remains one of the most challenging problems in relational database
management systems. To find an optimum index configuration for a workload, accurately …
management systems. To find an optimum index configuration for a workload, accurately …
Discovering association rules based on image content
C Ordonez, E Omiecinski - Proceedings IEEE Forum on …, 1999 - ieeexplore.ieee.org
Our focus for data mining in the paper is concerned with knowledge discovery in image
databases. We present a data mining algorithm to find association rules in 2-dimensional …
databases. We present a data mining algorithm to find association rules in 2-dimensional …
Only aggressive elephants are fast elephants
Yellow elephants are slow. A major reason is that they consume their inputs entirely before
responding to an elephant rider's orders. Some clever riders have trained their yellow …
responding to an elephant rider's orders. Some clever riders have trained their yellow …