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Publication search results
found 173 matches
- 2022
- Antoine Amarilli, Yael Amsterdamer:
Worst-case analysis for interactive evaluation of Boolean provenance. TaPP 2022: 6:1-6:8 - Nachiket Deo, Boris Glavic, Oliver Kennedy:
Runtime provenance refinement for notebooks. TaPP 2022: 8:1-8:4 - Benjamin Dietrich, Tobias Müller, Torsten Grust:
Data provenance for recursive SQL queries. TaPP 2022: 9:1-9:8 - Gösta Grahne, Tianyi Liu, Nematollaah Shiri:
Universal provenance for regular path queries. TaPP 2022: 4:1-4:7 - Michael Leybovich, Oded Shmueli:
Towards practical approximate lineage. TaPP 2022: 3:1-3:8 - Michael Leybovich, Oded Shmueli:
Efficient approximate search for sets of lineage vectors. TaPP 2022: 5:1-5:8 - Yuval Moskovitch, Jinyang Li, H. V. Jagadish:
Bias analysis and mitigation in data-driven tools using provenance. TaPP 2022: 1:1-1:4 - Sarah Oppold, Melanie Herschel:
Provenance-based explanations: are they useful? TaPP 2022: 2:1-2:4 - Nikolaus Nova Parulian, Bertram Ludäscher:
DCM explorer: a tool to support transparent data cleaning through provenance exploration. TaPP 2022: 10:1-10:6 - Shemon Rawat, Seokki Lee, Taeho Jung:
Measuring information gain using provenance. TaPP 2022: 7:1-7:4 - Adriane Chapman, Daniel Deutch, Tanu Malik:
Proceedings of the 14th International Workshop on the Theory and Practice of Provenance, TaPP 2022, Philadelphia, Pennsylvania, 17 June 2022. ACM 2022, ISBN 978-1-4503-9349-2 [contents] - 2021
- Andreas Schreiber, Claas de Boer, Lynn von Kurnatowski:
GitLab2PROV - Provenance of Software Projects hosted on GitLab. TaPP 2021 - George Alter, Jack Gager, Pascal Heus, Carson Hunter, Sanda Ionescu, Jeremy Iverson, H. V. Jagadish, Bertram Ludäscher, Jared Lyle, Timothy M. McPhillips, Alexander Mueller, Sigve Nordgaard, Ørnulf Risnes, Dan J. Smith, Jie Song, Thomas Thelen:
Detailed Provenance Metadata from Statistical Analysis Software: TaPP Applications Track. TaPP 2021 - Argyro Avgoustaki, Giorgos Flouris, Dimitris Plexousakis:
A Declarative Query Language for Data Provenance (Research Track). TaPP 2021 - Tom Blount, Adriane Chapman, Michael A. C. Johnson, Bertram Ludäscher:
Observed vs. Possible Provenance (Research Track). TaPP 2021 - Sheung Chi Chan, James Cheney, Pramod Bhatotia:
Provenance expressiveness benchmarking on non-deterministic executions. TaPP 2021 - Ashish Gehani, Raza Ahmad, Hassaan Irshad:
Practical Provenance Privacy Protection. TaPP 2021 - Michael A. C. Johnson, Marcus Paradies, Marta Dembska, Kristen Lackeos, Hans-Rainer Klöckner, David J. Champion, Sirko Schindler:
Astronomical Pipeline Provenance: A Use Case Evaluation. TaPP 2021 - Taeho Jung, Seokki Lee, Wenyi Tang:
Using Provenance to Evaluate Risk and Benefit of Data Sharing. TaPP 2021 - Julia Kühnert, Dominik Göddeke, Melanie Herschel:
Provenance-integrated parameter selection and optimization in numerical simulations. TaPP 2021 - Tanu Malik, Thomas Pasquier:
13th International Workshop on Theory and Practice of Provenance, TaPP 2021, July 19-20, 2021. USENIX Association 2021 [contents] - 2020
- Scott Friedman, Jeffrey M. Rye, David LaVergne, Dan J. Thomsen, Matthew Allen, Kyle Tunis:
Provenance-Based Interpretation of Multi-Agent Information Analysis. TaPP 2020 - Raza Ahmad, Eunjin Jung, Carolina de Senne Garcia, Hassaan Irshad, Ashish Gehani:
Discrepancy Detection in Whole Network Provenance. TaPP 2020 - Raza Ahmad, Yuta Nakamura, Naga Nithin Manne, Tanu Malik:
PROV-CRT: Provenance Support for Container Runtimes. TaPP 2020 - Sheung Chi Chan, Ashish Gehani, Hassaan Irshad, James Cheney:
Integrity Checking and Abnormality Detection of Provenance Records. TaPP 2020 - Santiago Núñez Corrales, Lan Li, Bertram Ludäscher:
A First-Principles Algebraic Approach to Data Transformations in Data Cleaning: Understanding Provenance from the Ground Up. TaPP 2020 - Dennis Dosso, Susan B. Davidson, Gianmaria Silvello:
Data Provenance for Attributes: Attribute Lineage. TaPP 2020 - Sylvain Hallé, Hugo Tremblay:
A Generic Explainability Framework for Function Circuits. TaPP 2020 - Joud Khoury, Tim Upthegrove, Armando Caro, Brett Benyo, Derrick Kong:
An Event-based Data Model for Granular Information Flow Tracking. TaPP 2020 - Yuta Nakamura, Tanu Malik, Ashish Gehani:
Efficient Provenance Alignment in Reproduced Executions. TaPP 2020
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