Data Civilizer 2.0: a holistic framework for data preparation and analytics

Data Civilizer 2.0: a holistic framework for data preparation and analytics

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© 2019 VLDB Endowment. Data scientists spend over 80% of their time (1) parameter-tuning machine learning models and (2) iterating between data cleaning and machine learning model execution. While there are existing efforts to support the first requirement, there is currently no integrated workflow...

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Bibliographic Details
Main Authors: Rezig, El Kindi (Author), Cao, Lei (Author), Stonebraker, Michael (Author), Simonini, Giovanni (Author), Tao, Wenbo (Author), Madden, Samuel R (Author), Ouzzani, Mourad (Author), Tang, Nan (Author), Elmagarmid, Ahmed K (Author)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: VLDB Endowment, 2021-12-20T15:57:22Z.
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