PClean : Bayesian data cleaning at scale with domain-specific probabilistic programming /
Data cleaning is naturally framed as probabilistic inference in a generative model, combining a prior distribution over ground-truth databases with a likelihood that models the noisy channel by which the data are filtered, corrupted, and joined to yield incomplete, dirty, and denormalized datasets....
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| Format: | Thesis Book |
| Language: | English |
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©2020
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Internet
This item is not available through BorrowDirect. Please contact your institution’s interlibrary loan office for further assistance.Massachusetts Institute of Technology
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THESIS Thesis E.E. 2020 S.M. |
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