Data Civilizer 2.0: a holistic framework for data preparation and analytics
© 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...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
VLDB Endowment
2021
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| Online Access: | https://hdl.handle.net/1721.1/137529 |