TaPP

Keyphrases

Publications

2022

Shemon Rawat, Seokki Lee, Taeho Jung
Measuring information gain using provenance. TaPP (2022)
Sarah Oppold, Melanie Herschel
Provenance-based explanations: are they useful? TaPP (2022)
Yuval Moskovitch, Jinyang Li, H. V. Jagadish
Bias analysis and mitigation in data-driven tools using provenance. TaPP (2022)
Benjamin Dietrich, Tobias Müller, Torsten Grust
Data provenance for recursive SQL queries. TaPP (2022)
Proceedings of the 14th International Workshop on the Theory and Practice of Provenance, TaPP 2022, Philadelphia, Pennsylvania, 17 June 2022 TaPP (2022)
Michael Leybovich, Oded Shmueli
Efficient approximate search for sets of lineage vectors. TaPP (2022)
Antoine Amarilli, Yael Amsterdamer
Worst-case analysis for interactive evaluation of Boolean provenance. TaPP (2022)
Nachiket Deo, Boris Glavic, Oliver Kennedy
Runtime provenance refinement for notebooks. TaPP (2022)
Nikolaus Nova Parulian, Bertram Ludäscher
DCM explorer: a tool to support transparent data cleaning through provenance exploration. TaPP (2022)
Gösta Grahne, Tianyi Liu, Nematollaah Shiri
Universal provenance for regular path queries. TaPP (2022)
Michael Leybovich, Oded Shmueli
Towards practical approximate lineage. TaPP (2022)

2021

2020

2019

2018

2017