Some Cardinality Estimates are More Equal than Others
Recently there has been significant interest in using machine learning to improve the accuracy of cardinality estimation. This work has focused on improving average estimation error, but not all estimates matter equally for downstream tasks like query optimization. Since learned models inevitably ma...
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| Materialtyp: | Lärdomsprov |
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Massachusetts Institute of Technology
2022
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| Länkar: | https://hdl.handle.net/1721.1/143367 https://orcid.org/0000-0002-8442-9159 |