SlideShares tagged with data provenance
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Towards explanations for Data-Centric AI using provenance records
Towards explanations for Data-Centric AI using provenance records2w ago, 18 views
2w ago, 18 views -
Data-centric AI and the convergence of data and model engineering: opportunities to streamline the end-to-end data value chain
Data-centric AI and the convergence of data and model engineering: opportunities to streamline the end-to-end data value chain5m ago, 154 views
5m ago, 154 viewsLike Data-centric AI and the convergence of data and model engineering: opportunities to streamline the end-to-end data value chain SlideShare. Save Data-centric AI and the convergence of data and model engineering: opportunities to streamline the end-to-end data value chain SlideShare. Share Data-centric AI and the convergence of data and model engineering: opportunities to streamline the end-to-end data value chain SlideShare. -
Knowledge graph use cases in natural language generation
Knowledge graph use cases in natural language generation7m ago, 153 views
7m ago, 153 views -
McIntosh and Hudson-Vitale "Provenance for Data Cleaning"
McIntosh and Hudson-Vitale "Provenance for Data Cleaning"10m ago, 263 views
10m ago, 263 views -
Porter "Data Provenance"
Porter "Data Provenance"11m ago, 352 views
11m ago, 352 views -
Provenance Week 2023 talk on DP4DS (Data Provenance for Data Science)
Provenance Week 2023 talk on DP4DS (Data Provenance for Data Science)1y ago, 24 views
1y ago, 24 views -
Capturing and querying fine-grained provenance of preprocessing pipelines in data science (DP4DS)
Capturing and querying fine-grained provenance of preprocessing pipelines in data science (DP4DS)1y ago, 18 views
1y ago, 18 viewsLike Capturing and querying fine-grained provenance of preprocessing pipelines in data science (DP4DS) SlideShare. Save Capturing and querying fine-grained provenance of preprocessing pipelines in data science (DP4DS) SlideShare. Share Capturing and querying fine-grained provenance of preprocessing pipelines in data science (DP4DS) SlideShare. -
Data Provenance for Data Science
Data Provenance for Data Science2y ago, 143 views
2y ago, 143 views -
Capturing and querying fine-grained provenance of preprocessing pipelines in data science (DP4DS)
Capturing and querying fine-grained provenance of preprocessing pipelines in data science (DP4DS)2y ago, 78 views
2y ago, 78 viewsLike Capturing and querying fine-grained provenance of preprocessing pipelines in data science (DP4DS) SlideShare. Save Capturing and querying fine-grained provenance of preprocessing pipelines in data science (DP4DS) SlideShare. Share Capturing and querying fine-grained provenance of preprocessing pipelines in data science (DP4DS) SlideShare. -
Quo vadis, provenancer? Cui prodest? our own trajectory: provenance of data science pipelines
Quo vadis, provenancer? Cui prodest? our own trajectory: provenance of data science pipelines2y ago, 312 views
2y ago, 312 viewsLike Quo vadis, provenancer? Cui prodest? our own trajectory: provenance of data science pipelines SlideShare. Save Quo vadis, provenancer? Cui prodest? our own trajectory: provenance of data science pipelines SlideShare. Share Quo vadis, provenancer? Cui prodest? our own trajectory: provenance of data science pipelines SlideShare. -
Data Profiling, Data Catalogs and Metadata Harmonisation
Data Profiling, Data Catalogs and Metadata Harmonisation3y ago, 965 views
3y ago, 965 views -
Analytics of analytics pipelines: from optimising re-execution to general Data Provenance for Data Science
Analytics of analytics pipelines: from optimising re-execution to general Data Provenance for Data Science3y ago, 62 views
3y ago, 62 viewsLike Analytics of analytics pipelines: from optimising re-execution to general Data Provenance for Data Science SlideShare. Save Analytics of analytics pipelines: from optimising re-execution to general Data Provenance for Data Science SlideShare. Share Analytics of analytics pipelines: from optimising re-execution to general Data Provenance for Data Science SlideShare. -
Data provenance - world in 2030
Data provenance - world in 20304y ago, 152 views
4y ago, 152 views -
Fine-Grained, Secure and Efficient Data Provenance on Blockchain Systems
Fine-Grained, Secure and Efficient Data Provenance on Blockchain Systems4y ago, 444 views
4y ago, 444 views -
PubChem as a resource for chemical information training
PubChem as a resource for chemical information training5y ago, 410 views
5y ago, 410 views -
Spline 0.3 User Guide
Spline 0.3 User Guide5y ago, 8,287 views
5y ago, 8,287 views -
Marquez: A Metadata Service for Data Abstraction, Data Lineage, and Event-based Triggers
Marquez: A Metadata Service for Data Abstraction, Data Lineage, and Event-based Triggers5y ago, 2,079 views
5y ago, 2,079 viewsLike Marquez: A Metadata Service for Data Abstraction, Data Lineage, and Event-based Triggers SlideShare. Save Marquez: A Metadata Service for Data Abstraction, Data Lineage, and Event-based Triggers SlideShare. Share Marquez: A Metadata Service for Data Abstraction, Data Lineage, and Event-based Triggers SlideShare. -
Spline 2 - Vision and Architecture Overview
Spline 2 - Vision and Architecture Overview5y ago, 8,515 views
5y ago, 8,515 views
