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Vamsa: Tracking Provenance in Data Science Scripts. · Study

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PreprintVamsa: Tracking Provenance in Data Science Scripts.

Mohammad Hossein Namaki2020

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Preprintgreen2020

Vamsa: Tracking Provenance in Data Science Scripts.

Mohammad Hossein Namaki · Avrilia Floratou · Fotis Psallidas · Subru Krishnan · Ashvin Agrawal · Yinghui Wu

5 citations·0/0 files stored·arXiv (Cornell University)

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Scientific Computing and Data Management Research Data Management Practices Software Engineering Research

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References

2018Exploration and Explanation in Computational Notebooks 2016M odel DB 2015Titian: Data Provenance Support in Spark.2017Automatically Tracking Metadata and Provenance of Machine Learning Experiments 2010Panda: A System for Provenance and Data.2013Scalable lineage capture for debugging DISC analytics 2019A Survey on Collecting, Managing, and Analyzing Provenance from Scripts 2017Data Provenance at Internet Scale: Architecture, Experiences, and the Road Ahead.

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Year2020

Typepreprint

Published2020-01-07

VenuearXiv (Cornell University)

ISSN-L2331-8422

Languageen

Citations5

Files0 public / 0

ShelfScientific Computing and Data Management

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openalex_workW3000170922

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