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2015
What the reader should know after reading in this chapter Supervised learning, Unsupervised learning, Semi-supervised learning, Reinforcement learning.
CAMASTRA, Francesco +1 more
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What the reader should know after reading in this chapter Supervised learning, Unsupervised learning, Semi-supervised learning, Reinforcement learning.
CAMASTRA, Francesco +1 more
openaire +2 more sources
Machine learning for databases
Proceedings of the VLDB Endowment, 2021Machine learning techniques have been proposed to optimize the databases. For example, traditional empirical database optimization techniques (e.g., cost estimation, join order selection, knob tuning, index and view advisor) cannot meet the high-performance requirement for large-scale database instances, various applications and diversified users ...
Guoliang Li 0001 +2 more
openaire +3 more sources