Query Optimization for Dynamic Imputation

Query Optimization for Dynamic Imputation

© 2017 VLDB. Missing values are common in data analysis and present a usability challenge. Users are forced to pick between removing tuples withmissing values or creating a cleaned version of their data by applying a relatively expensive imputation strategy. Our system, ImputeDB, incorporates imputa...

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Bibliographic Details
Main Authors: Cambronero, José, Feser, John K., Smith, Micah J., Madden, Samuel
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:English
Published: VLDB Endowment 2021
Online Access:https://hdl.handle.net/1721.1/137765

Internet

https://hdl.handle.net/1721.1/137765

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