Kraska et al (2017) The Case for Learned Index Structure (arXiv)
This paper (PDF) investigates the use of
neural network in deriving index structures (learned indexes), in the
direction to replace B-tree, hash map, or Bloom filters. The paper claims that
the index derived from neural network can outperform B-tree index in both speed
and space.
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