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Progressive Data Science: Potential and Challenges
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Progressive Data Science: Potential and Challenges (2018)Progressive Data Science: Potential and C…HELIX (2018)HELIXToward Sustainable Insights, or Why Polygamy is Bad for You. (2017)Toward Sustainable Insights, …Data Canopy (2017)Data CanopyData quality assessment (2002)Discovering Conditional Functional Dependencies (2010)Simpson's paradox in psychological science: a practical guide (2013)Big Data: Astronomical or Genomical? (2015)Data-Less Big Data Analytics (Towards Intelligent Data Analytics Systems) (2018)Exploring and cleaning big data with random sample data blocks (2019)Scientific workflow management and the Kepler system (2005)VisTrails (2006)Accelerating Human-in-the-loop Machine Learning (2018)LIMA: Fine-grained Lineage Tracing and Reuse in Machine Learning Systems (2021)MLCask: Efficient Management of Component Evolution in Collaborative Data Analytics Pipelines (2021)OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning (2021)
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References

  • 2018HELIX48 cited
  • 2017Data Canopy45 cited
  • 2017Toward Sustainable Insights, or Why Polygamy is Bad for You.25 cited

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